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Ed Webb

Would You Protect Your Computer's Feelings? Clifford Nass Says Yes. - ProfHacker - The ... - 0 views

chronicle.com/...27081

book review computers psychology

shared by Ed Webb on 22 Sep 10 - No Cached
  • The Man Who Lied to His Laptop condenses for a popular audience an argument that Nass has been making for at least 15 years: humans do not differentiate between computers and people in their social interactions.
  • At first blush, this sounds absurd. Everyone knows that it's "just a computer," and of course computers don't have feelings. And yet. Nass has a slew of amusing stories—and, crucially, studies based on those stories—indicating that, no matter what "everyone knows," people act as if the computer secretly cares. For example: In one study, users reviewed a software package, either on the same computer they'd used it on, or on a different computer. Consistently, participants gave the software better ratings when they reviewed in on the same computer—as if they didn't want the computer to feel bad. What's more, Nass notes, "every one of the participants insisted that she or he would never bother being polite to a computer" (7).
  • Nass found that users given completely random praise by a computer program liked it more than the same program without praise, even though they knew in advance the praise was meaningless. In fact, they liked it as much as the same program, if they were told the praise was accurate. (In other words, flattery was as well received as praise, and both were preferred to no positive comments.) Again, when questioned about the results, users angrily denied any difference at all in their reactions.
  • Ed Webb on 22 Sep 10
     
    How do you interact with the computing devices in your life?
Ryan Burke

Wolfram|Alpha - 0 views

www20.wolframalpha.com

search searchengine math systematic knowledge

shared by Ryan Burke on 21 May 09 - Cached
  • Ryan Burke on 21 May 09
     
    Today's Wolfram|Alpha is the first step in an ambitious, long-term project to make all systematic knowledge immediately computable by anyone. You enter your question or calculation, and Wolfram|Alpha uses its built-in algorithms and growing collection of data to compute the answer
Ed Webb

The Myth Of AI | Edge.org - 0 views

www.edge.org/...the-myth-of-ai

AI opinion analysis

shared by Ed Webb on 25 Jan 23 - No Cached
  • The distinction between a corporation and an algorithm is fading. Does that make an algorithm a person? Here we have this interesting confluence between two totally different worlds. We have the world of money and politics and the so-called conservative Supreme Court, with this other world of what we can call artificial intelligence, which is a movement within the technical culture to find an equivalence between computers and people. In both cases, there's an intellectual tradition that goes back many decades. Previously they'd been separated; they'd been worlds apart. Now, suddenly they've been intertwined.
  • Since our economy has shifted to what I call a surveillance economy, but let's say an economy where algorithms guide people a lot, we have this very odd situation where you have these algorithms that rely on big data in order to figure out who you should date, who you should sleep with, what music you should listen to, what books you should read, and on and on and on. And people often accept that because there's no empirical alternative to compare it to, there's no baseline. It's bad personal science. It's bad self-understanding.
  • there's no way to tell where the border is between measurement and manipulation in these systems
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  • It's not so much a rise of evil as a rise of nonsense. It's a mass incompetence, as opposed to Skynet from the Terminator movies. That's what this type of AI turns into.
  • What's happened here is that translators haven't been made obsolete. What's happened instead is that the structure through which we receive the efforts of real people in order to make translations happen has been optimized, but those people are still needed.
  • In order to create this illusion of a freestanding autonomous artificial intelligent creature, we have to ignore the contributions from all the people whose data we're grabbing in order to make it work. That has a negative economic consequence.
  • If you talk to translators, they're facing a predicament, which is very similar to some of the other early victim populations, due to the particular way we digitize things. It's similar to what's happened with recording musicians, or investigative journalists—which is the one that bothers me the most—or photographers. What they're seeing is a severe decline in how much they're paid, what opportunities they have, their long-term prospects.
  • because of the mythology about AI, the services are presented as though they are these mystical, magical personas. IBM makes a dramatic case that they've created this entity that they call different things at different times—Deep Blue and so forth. The consumer tech companies, we tend to put a face in front of them, like a Cortana or a Siri
  • If you talk about AI as a set of techniques, as a field of study in mathematics or engineering, it brings benefits. If we talk about AI as a mythology of creating a post-human species, it creates a series of problems that I've just gone over, which include acceptance of bad user interfaces, where you can't tell if you're being manipulated or not, and everything is ambiguous. It creates incompetence, because you don't know whether recommendations are coming from anything real or just self-fulfilling prophecies from a manipulative system that spun off on its own, and economic negativity, because you're gradually pulling formal economic benefits away from the people who supply the data that makes the scheme work.
  • This idea that some lab somewhere is making these autonomous algorithms that can take over the world is a way of avoiding the profoundly uncomfortable political problem, which is that if there's some actuator that can do harm, we have to figure out some way that people don't do harm with it. There are about to be a whole bunch of those. And that'll involve some kind of new societal structure that isn't perfect anarchy. Nobody in the tech world wants to face that, so we lose ourselves in these fantasies of AI. But if you could somehow prevent AI from ever happening, it would have nothing to do with the actual problem that we fear, and that's the sad thing, the difficult thing we have to face.
  • To reject your own ignorance just casts you into a silly state where you're a lesser scientist. I don't see that so much in the neuroscience field, but it comes from the computer world so much, and the computer world is so influential because it has so much money and influence that it does start to bleed over into all kinds of other things.
Ed Webb

William Davies · How many words does it take to make a mistake? Education, Ed... - 0 views

www.lrb.co.uk/...does-it-take-to-make-a-mistake

education tools technology edtech opinion analysis humanities UK Britain higher-ed surveillance politics STEM

shared by Ed Webb on 21 Feb 22 - Cached
  • The problem waiting round the corner for universities is essays generated by AI, which will leave a textual pattern-spotter like Turnitin in the dust. (Earlier this year, I came across one essay that felt deeply odd in some not quite human way, but I had no tangible evidence that anything untoward had occurred, so that was that.)
  • To accuse someone of plagiarism is to make a moral charge regarding intentions. But establishing intent isn’t straightforward. More often than not, the hearings bleed into discussions of issues that could be gathered under the heading of student ‘wellbeing’, which all universities have been struggling to come to terms with in recent years.
  • I have heard plenty of dubious excuses for acts of plagiarism during these hearings. But there is one recurring explanation which, it seems to me, deserves more thoughtful consideration: ‘I took too many notes.’ It isn’t just students who are familiar with information overload, one of whose effects is to morph authorship into a desperate form of curatorial management, organising chunks of text on a screen. The discerning scholarly self on which the humanities depend was conceived as the product of transitions between spaces – library, lecture hall, seminar room, study – linked together by work with pen and paper. When all this is replaced by the interface with screen and keyboard, and everything dissolves into a unitary flow of ‘content’, the identity of the author – as distinct from the texts they have read – becomes harder to delineate.
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  • This generation, the first not to have known life before the internet, has acquired a battery of skills in navigating digital environments, but it isn’t clear how well those skills line up with the ones traditionally accredited by universities.
  • From the perspective of students raised in a digital culture, the anti-plagiarism taboo no doubt seems to be just one more academic hang-up, a weird injunction to take perfectly adequate information, break it into pieces and refashion it. Students who pay for essays know what they are doing; others seem conscientious yet intimidated by secondary texts: presumably they won’t be able to improve on them, so why bother trying? For some years now, it’s been noticeable how many students arrive at university feeling that every interaction is a test they might fail. They are anxious. Writing seems fraught with risk, a highly complicated task that can be executed correctly or not.
  • Many students may like the flexibility recorded lectures give them, but the conversion of lectures into yet more digital ‘content’ further destabilises traditional conceptions of learning and writing
  • the evaluation forms which are now such a standard feature of campus life suggest that many students set a lot of store by the enthusiasm and care that are features of a good live lecture
  • the drift of universities towards a platform model, which makes it possible for students to pick up learning materials as and when it suits them. Until now, academics have resisted the push for ‘lecture capture’. It causes in-person attendance at lectures to fall dramatically, and it makes many lecturers feel like mediocre television presenters. Unions fear that extracting and storing teaching for posterity threatens lecturers’ job security and weakens the power of strikes. Thanks to Covid, this may already have happened.
  • This vision of language as code may already have been a significant feature of the curriculum, but it appears to have been exacerbated by the switch to online teaching. In a journal article from August 2020, ‘Learning under Lockdown: English Teaching in the Time of Covid-19’, John Yandell notes that online classes create wholly closed worlds, where context and intertextuality disappear in favour of constant instruction. In these online environments, readingis informed not by prior reading experiences but by the toolkit that the teacher has provided, and ... is presented as occurring along a tramline of linear development. Different readings are reducible to better or worse readings: the more closely the student’s reading approximates to the already finalised teacher’s reading, the better it is. That, it would appear, is what reading with precision looks like.
  • an injunction against creative interpretation and writing, a deprivation that working-class children will feel at least as deeply as anyone else.
  • There may be very good reasons for delivering online teaching in segments, punctuated by tasks and feedback, but as Yandell observes, other ways of reading and writing are marginalised in the process. Without wishing to romanticise the lonely reader (or, for that matter, the lonely writer), something is lost when alternating periods of passivity and activity are compressed into interactivity, until eventually education becomes a continuous cybernetic loop of information and feedback. How many keystrokes or mouse-clicks before a student is told they’ve gone wrong? How many words does it take to make a mistake?
  • In the utopia sold by the EdTech industry (the companies that provide platforms and software for online learning), pupils are guided and assessed continuously. When one task is completed correctly, the next begins, as in a computer game; meanwhile the platform providers are scraping and analysing data from the actions of millions of children. In this behaviourist set-up, teachers become more like coaches: they assist and motivate individual ‘learners’, but are no longer so important to the provision of education. And since it is no longer the sole responsibility of teachers or schools to deliver the curriculum, it becomes more centralised – the latest front in a forty-year battle to wrest control from the hands of teachers and local authorities.
  • Constant interaction across an interface may be a good basis for forms of learning that involve information-processing and problem-solving, where there is a right and a wrong answer. The cognitive skills that can be trained in this way are the ones computers themselves excel at: pattern recognition and computation. The worry, for anyone who cares about the humanities in particular, is about the oversimplifications required to conduct other forms of education in these ways.
  • Blanket surveillance replaces the need for formal assessment.
  • Confirming Adorno’s worst fears of the ‘primacy of practical reason’, reading is no longer dissociable from the execution of tasks. And, crucially, the ‘goals’ to be achieved through the ability to read, the ‘potential’ and ‘participation’ to be realised, are economic in nature.
  • since 2019, with the Treasury increasingly unhappy about the amount of student debt still sitting on the government’s balance sheet and the government resorting to ‘culture war’ at every opportunity, there has been an effort to single out degree programmes that represent ‘poor value for money’, measured in terms of graduate earnings. (For reasons best known to itself, the usually independent Institute for Fiscal Studies has been leading the way in finding correlations between degree programmes and future earnings.) Many of these programmes are in the arts and humanities, and are now habitually referred to by Tory politicians and their supporters in the media as ‘low-value degrees’.
  • studying the humanities may become a luxury reserved for those who can fall back on the cultural and financial advantages of their class position. (This effect has already been noticed among young people going into acting, where the results are more visible to the public than they are in academia or heritage organisations.)
  • given the changing class composition of the UK over the past thirty years, it’s not clear that contemporary elites have any more sympathy for the humanities than the Conservative Party does. A friend of mine recently attended an open day at a well-known London private school, and noticed that while there was a long queue to speak to the maths and science teachers, nobody was waiting to speak to the English teacher. When she asked what was going on, she was told: ‘I’m afraid parents here are very ambitious.’ Parents at such schools, where fees have tripled in real terms since the early 1980s, tend to work in financial and business services themselves, and spend their own days profitably manipulating and analysing numbers on screens. When it comes to the transmission of elite status from one generation to the next, Shakespeare or Plato no longer has the same cachet as economics or physics.
  • Leaving aside the strategic political use of terms such as ‘woke’ and ‘cancel culture’, it would be hard to deny that we live in an age of heightened anxiety over the words we use, in particular the labels we apply to people. This has benefits: it can help to bring discriminatory practices to light, potentially leading to institutional reform. It can also lead to fruitless, distracting public arguments, such as the one that rumbled on for weeks over Angela Rayner’s description of Conservatives as ‘scum’. More and more, words are dredged up, edited or rearranged for the purpose of harming someone. Isolated words have acquired a weightiness in contemporary politics and public argument, while on digital media snippets of text circulate without context, as if the meaning of a single sentence were perfectly contained within it, walled off from the surrounding text. The exemplary textual form in this regard is the newspaper headline or corporate slogan: a carefully curated series of words, designed to cut through the blizzard of competing information.
  • Visit any actual school or university today (as opposed to the imaginary ones described in the Daily Mail or the speeches of Conservative ministers) and you will find highly disciplined, hierarchical institutions, focused on metrics, performance evaluations, ‘behaviour’ and quantifiable ‘learning outcomes’.
  • If young people today worry about using the ‘wrong’ words, it isn’t because of the persistence of the leftist cultural power of forty years ago, but – on the contrary – because of the barrage of initiatives and technologies dedicated to reversing that power. The ideology of measurable literacy, combined with a digital net that has captured social and educational life, leaves young people ill at ease with the language they use and fearful of what might happen should they trip up.
  • It has become clear, as we witness the advance of Panopto, Class Dojo and the rest of the EdTech industry, that one of the great things about an old-fashioned classroom is the facilitation of unrecorded, unaudited speech, and of uninterrupted reading and writing.
Ed Webb

The Generative AI Race Has a Dirty Secret | WIRED - 0 views

www.wired.com/...search-race-has-a-dirty-secret

AI LLMs climate emissions internet analysis energy

shared by Ed Webb on 12 Feb 23 - Cached
  • The race to build high-performance, AI-powered search engines is likely to require a dramatic rise in computing power, and with it a massive increase in the amount of energy that tech companies require and the amount of carbon they emit.
  • Every time we see a step change in online processing, we see significant increases in the power and cooling resources required by large processing centres
  • third-party analysis by researchers estimates that the training of GPT-3, which ChatGPT is partly based on, consumed 1,287 MWh, and led to emissions of more than 550 tons of carbon dioxide equivalent—the same amount as a single person taking 550 roundtrips between New York and San Francisco
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  • There’s also a big difference between utilizing ChatGPT—which investment bank UBS estimates has 13 million users a day—as a standalone product, and integrating it into Bing, which handles half a billion searches every day.
  • Data centers already account for around one percent of the world’s greenhouse gas emissions, according to the International Energy Agency. That is expected to rise as demand for cloud computing increases, but the companies running search have promised to reduce their net contribution to global heating. “It’s definitely not as bad as transportation or the textile industry,” Gómez-Rodríguez says. “But [AI] can be a significant contributor to emissions.”
  • The environmental footprint and energy cost of integrating AI into search could be reduced by moving data centers onto cleaner energy sources, and by redesigning neural networks to become more efficient, reducing the so-called “inference time”—the amount of computing power required for an algorithm to work on new data.
Ed Webb

What Bruce Sterling Actually Said About Web 2.0 at Webstock 09 | Beyond the Beyond from... - 0 views

blog.wired.com/...what-bruce-ster.html

shared by Ed Webb on 25 Mar 09 - Cached
  • things in it that pretended to be ideas, but were not ideas at all: they were attitudes
    • Ed Webb
      Ed Webb on 25 Mar 09
       
      Like Edupunk
  • A sentence is a verbal construction meant to express a complete thought. This congelation that Tim O'Reilly constructed, that is not a complete thought. It's a network in permanent beta.
  • This chart is five years old now, which is 35 years old in Internet years, but intellectually speaking, it's still new in the world. It's alarming how hard it is to say anything constructive about this from any previous cultural framework.
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  • "The cloud as platform." That is insanely great. Right? You can't build a "platform" on a "cloud!" That is a wildly mixed metaphor! A cloud is insubstantial, while a platform is a solid foundation! The platform falls through the cloud and is smashed to earth like a plummeting stock price!
  • luckily, we have computers in banking now. That means Moore's law is gonna save us! Instead of it being really obvious who owes what to whom, we can have a fluid, formless ownership structure that's always in permanent beta. As long as we keep moving forward, adding attractive new features, the situation is booming!
  • Web 2.0 is supposed to be business. This isn't a public utility or a public service, like the old model of an Information Superhighway established for the public good.
  • it's turtles all the way down
  • "Tagging not taxonomy." Okay, I love folksonomy, but I don't think it's gone very far. There have been books written about how ambient searchability through folksonomy destroys the need for any solid taxonomy. Not really. The reality is that we don't have a choice, because we have no conceivable taxonomy that can catalog the avalanche of stuff on the Web.
  • JavaScript is the duct tape of the Web. Why? Because you can do anything with it. It's not the steel girders of the web, it's not the laws of physics of the web. Javascript is beloved of web hackers because it's an ultimate kludge material that can stick anything to anything. It's a cloud, a web, a highway, a platform and a floor wax. Guys with attitude use JavaScript.
  • Before the 1990s, nobody had any "business revolutions." People in trade are supposed to be very into long-term contracts, a stable regulatory environment, risk management, and predictable returns to stockholders. Revolutions don't advance those things. Revolutions annihilate those things. Is that "businesslike"? By whose standards?
  • I just wonder what kind of rattletrap duct-taped mayhem is disguised under a smooth oxymoron like "collective intelligence."
  • the people whose granular bits of input are aggregated by Google are not a "collective." They're not a community. They never talk to each other. They've got basically zero influence on what Google chooses to do with their mouseclicks. What's "collective" about that?
  • I really think it's the original sin of geekdom, a kind of geek thought-crime, to think that just because you yourself can think algorithmically, and impose some of that on a machine, that this is "intelligence." That is not intelligence. That is rules-based machine behavior. It's code being executed. It's a powerful thing, it's a beautiful thing, but to call that "intelligence" is dehumanizing. You should stop that. It does not make you look high-tech, advanced, and cool. It makes you look delusionary.
  • I'd definitely like some better term for "collective intelligence," something a little less streamlined and metaphysical. Maybe something like "primeval meme ooze" or "semi-autonomous data propagation." Even some Kevin Kelly style "neobiological out of control emergent architectures." Because those weird new structures are here, they're growing fast, we depend on them for mission-critical acts, and we're not gonna get rid of them any more than we can get rid of termite mounds.
  • Web 2.0 guys: they've got their laptops with whimsical stickers, the tattoos, the startup T-shirts, the brainy-glasses -- you can tell them from the general population at a glance. They're a true creative subculture, not a counterculture exactly -- but in their number, their relationship to the population, quite like the Arts and Crafts people from a hundred years ago. Arts and Crafts people, they had a lot of bad ideas -- much worse ideas than Tim O'Reilly's ideas. It wouldn't bother me any if Tim O'Reilly was Governor of California -- he couldn't be any weirder than that guy they've got already. Arts and Crafts people gave it their best shot, they were in earnest -- but everything they thought they knew about reality was blown to pieces by the First World War. After that misfortune, there were still plenty of creative people surviving. Futurists, Surrealists, Dadaists -- and man, they all despised Arts and Crafts. Everything about Art Nouveau that was sexy and sensual and liberating and flower-like, man, that stank in their nostrils. They thought that Art Nouveau people were like moronic children.
  • in the past eighteen months, 24 months, we've seen ubiquity initiatives from Nokia, Cisco, General Electric, IBM... Microsoft even, Jesus, Microsoft, the place where innovative ideas go to die.
  • what comes next is a web with big holes blown in it. A spiderweb in a storm. The turtles get knocked out from under it, the platform sinks through the cloud. A lot of the inherent contradictions of the web get revealed, the contradictions in the oxymorons smash into each other. The web has to stop being a meringue frosting on the top of business, this make-do melange of mashups and abstraction layers. Web 2.0 goes away. Its work is done. The thing I always loved best about Web 2.0 was its implicit expiration date. It really took guts to say that: well, we've got a bunch of cool initiatives here, and we know they're not gonna last very long. It's not Utopia, it's not a New World Order, it's just a brave attempt to sweep up the ashes of the burst Internet Bubble and build something big and fast with the small burnt-up bits that were loosely joined. That showed more maturity than Web 1.0. It was visionary, it was inspiring, but there were fewer moon rockets flying out of its head. "Gosh, we're really sorry that we accidentally ruined the NASDAQ." We're Internet business people, but maybe we should spend less of our time stock-kiting. The Web's a communications medium -- how 'bout working on the computer interface, so that people can really communicate? That effort was time well spent. Really.
  • The poorest people in the world love cellphones.
  • Digital culture, I knew it well. It died -- young, fast and pretty. It's all about network culture now.
  • There's gonna be a Transition Web. Your economic system collapses: Eastern Europe, Russia, the Transition Economy, that bracing experience is for everybody now. Except it's not Communism transitioning toward capitalism. It's the whole world into transition toward something we don't even have proper words for.
  • The Transition Web is a culture model. If it's gonna work, it's got to replace things that we used to pay for with things that we just plain use.
  • Not every Internet address was a dotcom. In fact, dotcoms showed up pretty late in the day, and they were not exactly welcome. There were dot-orgs, dot edus, dot nets, dot govs, and dot localities. Once upon a time there were lots of social enterprises that lived outside the market; social movements, political parties, mutual aid societies, philanthropies. Churches, criminal organizations -- you're bound to see plenty of both of those in a transition... Labor unions... not little ones, but big ones like Solidarity in Poland; dissident organizations, not hobby activists, big dissent, like Charter 77 in Czechoslovakia. Armies, national guards. Rescue operations. Global non-governmental organizations. Davos Forums, Bilderberg guys. Retired people. The old people can't hold down jobs in the market. Man, there's a lot of 'em. Billions. What are our old people supposed to do with themselves? Websurf, I'm thinking. They're wise, they're knowledgeable, they're generous by nature; the 21st century is destined to be an old people's century. Even the Chinese, Mexicans, Brazilians will be old. Can't the web make some use of them, all that wisdom and talent, outside the market?
  • I've never seen so much panic around me, but panic is the last thing on my mind. My mood is eager impatience. I want to see our best, most creative, best-intentioned people in world society directly attacking our worst problems. I'm bored with the deceit. I'm tired of obscurantism and cover-ups. I'm disgusted with cynical spin and the culture war for profit. I'm up to here with phony baloney market fundamentalism. I despise a prostituted society where we put a dollar sign in front of our eyes so we could run straight into the ditch. The cure for panic is action. Coherent action is great; for a scatterbrained web society, that may be a bit much to ask. Well, any action is better than whining. We can do better.
Ed Webb

CRITICAL AI: Adapting College Writing for the Age of Large Language Models such as Chat... - 1 views

criticalai.org/...-some-next-steps-for-educators

AI education opinion internet analysis pedagogy

shared by Ed Webb on 28 Jan 23 - Cached
  • In the long run, we believe, teachers need to help students develop a critical awareness of generative machine models: how they work; why their content is often biased, false, or simplistic; and what their social, intellectual, and environmental implications might be. But that kind of preparation takes time, not least because journalism on this topic is often clickbait-driven, and “AI” discourse tends to be jargony, hype-laden, and conflated with science fiction.
  • Make explicit that the goal of writing is neither a product nor a grade but, rather, a process that empowers critical thinking
  • Students are more likely to misuse text generators if they trust them too much. The term “Artificial Intelligence” (“AI”) has become a marketing tool for hyping products. For all their impressiveness, these systems are not intelligent in the conventional sense of that term. They are elaborate statistical models that rely on mass troves of data—which has often been scraped indiscriminately from the web and used without knowledge or consent.
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  • LLMs usually cannot do a good job of explaining how a particular passage from a longer text illuminates the whole of that longer text. Moreover, ChatGPT’s outputs on comparison and contrast are often superficial. Typically the system breaks down a task of logical comparison into bite-size pieces, conveys shallow information about each of those pieces, and then formulaically “compares” and “contrasts” in a noticeably superficial or repetitive way. 
  • In-class writing, whether digital or handwritten, may have downsides for students with anxiety and disabilities
  • ChatGPT can produce outputs that take the form of  “brainstorms,” outlines, and drafts. It can also provide commentary in the style of peer review or self-analysis. Nonetheless, students would need to coordinate multiple submissions of automated work in order to complete this type of assignment with a text generator.  
  • No one should present auto-generated writing as their own on the expectation that this deception is undiscoverable. 
  • LLMs often mimic the harmful prejudices, misconceptions, and biases found in data scraped from the internet
  • Show students examples of inaccuracy, bias, logical, and stylistic problems in automated outputs. We can build students’ cognitive abilities by modeling and encouraging this kind of critique. Given that social media and the internet are full of bogus accounts using synthetic text, alerting students to the intrinsic problems of such writing could be beneficial. (See the “ChatGPT/LLM Errors Tracker,” maintained by Gary Marcus and Ernest Davis.)
  • Since ChatGPT is good at grammar and syntax but suffers from formulaic, derivative, or inaccurate content, it seems like a poor foundation for building students’ skills and may circumvent their independent thinking.
  • Good journalism on language models is surprisingly hard to find since the technology is so new and the hype is ubiquitous. Here are a few reliable short pieces.     “ChatGPT Advice Academics Can Use Now” edited by Susan Dagostino, Inside Higher Ed, January 12, 2023  “University students recruit AI to write essays for them. Now what?” by Katyanna Quach, The Register, December 27, 2022  “How to spot AI-generated text” by Melissa Heikkilä, MIT Technology Review, December 19, 2022  The Road to AI We Can Trust, Substack by Gary Marcus, a cognitive scientist and AI researcher who writes frequently and lucidly about the topic. See also Gary Marcus and Ernest Davis, “GPT-3, Bloviator: OpenAI’s Language Generator Has No Idea What It’s Talking About” (2020).
  • “On the Dangers of Stochastic Parrots” by Emily M. Bender, Timnit Gebru, et al, FAccT ’21: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, March 2021. Association for Computing Machinery, doi: 10.1145/3442188. A blog post summarizing and discussing the above essay derived from a Critical AI @ Rutgers workshop on the essay: summarizes key arguments, reprises discussion, and includes links to video-recorded presentations by digital humanist Katherine Bode (ANU) and computer scientist and NLP researcher Matthew Stone (Rutgers).
Ed Webb

ChatGPT Is Nothing Like a Human, Says Linguist Emily Bender - 0 views

nymag.com/...e-chatbots-emily-m-bender.html

AI ethics linguistics consciousness LLMs opinion

shared by Ed Webb on 13 Mar 23 - Cached
  • Please do not conflate word form and meaning. Mind your own credulity.
  • We’ve learned to make “machines that can mindlessly generate text,” Bender told me when we met this winter. “But we haven’t learned how to stop imagining the mind behind it.”
  • A handful of companies control what PricewaterhouseCoopers called a “$15.7 trillion game changer of an industry.” Those companies employ or finance the work of a huge chunk of the academics who understand how to make LLMs. This leaves few people with the expertise and authority to say, “Wait, why are these companies blurring the distinction between what is human and what’s a language model? Is this what we want?”
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  • “We call on the field to recognize that applications that aim to believably mimic humans bring risk of extreme harms,” she co-wrote in 2021. “Work on synthetic human behavior is a bright line in ethical Al development, where downstream effects need to be understood and modeled in order to block foreseeable harm to society and different social groups.”
  • chatbots that we easily confuse with humans are not just cute or unnerving. They sit on a bright line. Obscuring that line and blurring — bullshitting — what’s human and what’s not has the power to unravel society
  • She began learning from, then amplifying, Black women’s voices critiquing AI, including those of Joy Buolamwini (she founded the Algorithmic Justice League while at MIT) and Meredith Broussard (the author of Artificial Unintelligence: How Computers Misunderstand the World). She also started publicly challenging the term artificial intelligence, a sure way, as a middle-aged woman in a male field, to get yourself branded as a scold. The idea of intelligence has a white-supremacist history. And besides, “intelligent” according to what definition? The three-stratum definition? Howard Gardner’s theory of multiple intelligences? The Stanford-Binet Intelligence Scale? Bender remains particularly fond of an alternative name for AI proposed by a former member of the Italian Parliament: “Systematic Approaches to Learning Algorithms and Machine Inferences.” Then people would be out here asking, “Is this SALAMI intelligent? Can this SALAMI write a novel? Does this SALAMI deserve human rights?”
  • Tech-makers assuming their reality accurately represents the world create many different kinds of problems. The training data for ChatGPT is believed to include most or all of Wikipedia, pages linked from Reddit, a billion words grabbed off the internet. (It can’t include, say, e-book copies of everything in the Stanford library, as books are protected by copyright law.) The humans who wrote all those words online overrepresent white people. They overrepresent men. They overrepresent wealth. What’s more, we all know what’s out there on the internet: vast swamps of racism, sexism, homophobia, Islamophobia, neo-Nazism.
  • One fired Google employee told me succeeding in tech depends on “keeping your mouth shut to everything that’s disturbing.” Otherwise, you’re a problem. “Almost every senior woman in computer science has that rep. Now when I hear, ‘Oh, she’s a problem,’ I’m like, Oh, so you’re saying she’s a senior woman?”
  • “We haven’t learned to stop imagining the mind behind it.”
  • In March 2021, Bender published “On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?” with three co-authors. After the paper came out, two of the co-authors, both women, lost their jobs as co-leads of Google’s Ethical AI team.
  • “On the Dangers of Stochastic Parrots” is not a write-up of original research. It’s a synthesis of LLM critiques that Bender and others have made: of the biases encoded in the models; the near impossibility of studying what’s in the training data, given the fact they can contain billions of words; the costs to the climate; the problems with building technology that freezes language in time and thus locks in the problems of the past. Google initially approved the paper, a requirement for publications by staff. Then it rescinded approval and told the Google co-authors to take their names off it. Several did, but Google AI ethicist Timnit Gebru refused. Her colleague (and Bender’s former student) Margaret Mitchell changed her name on the paper to Shmargaret Shmitchell, a move intended, she said, to “index an event and a group of authors who got erased.” Gebru lost her job in December 2020, Mitchell in February 2021. Both women believe this was retaliation and brought their stories to the press. The stochastic-parrot paper went viral, at least by academic standards. The phrase stochastic parrot entered the tech lexicon.
  • Tech execs loved it. Programmers related to it. OpenAI CEO Sam Altman was in many ways the perfect audience: a self-identified hyperrationalist so acculturated to the tech bubble that he seemed to have lost perspective on the world beyond. “I think the nuclear mutually assured destruction rollout was bad for a bunch of reasons,” he said on AngelList Confidential in November. He’s also a believer in the so-called singularity, the tech fantasy that, at some point soon, the distinction between human and machine will collapse. “We are a few years in,” Altman wrote of the cyborg merge in 2017. “It’s probably going to happen sooner than most people think. Hardware is improving at an exponential rate … and the number of smart people working on AI is increasing exponentially as well. Double exponential functions get away from you fast.” On December 4, four days after ChatGPT was released, Altman tweeted, “i am a stochastic parrot, and so r u.”
  • “This is one of the moves that turn up ridiculously frequently. People saying, ‘Well, people are just stochastic parrots,’” she said. “People want to believe so badly that these language models are actually intelligent that they’re willing to take themselves as a point of reference and devalue that to match what the language model can do.”
  • The membrane between academia and industry is permeable almost everywhere; the membrane is practically nonexistent at Stanford, a school so entangled with tech that it can be hard to tell where the university ends and the businesses begin.
  • “No wonder that men who live day in and day out with machines to which they believe themselves to have become slaves begin to believe that men are machines.”
  • what’s tenure for, after all?
  • LLMs are tools made by specific people — people who stand to accumulate huge amounts of money and power, people enamored with the idea of the singularity. The project threatens to blow up what is human in a species sense. But it’s not about humility. It’s not about all of us. It’s not about becoming a humble creation among the world’s others. It’s about some of us — let’s be honest — becoming a superspecies. This is the darkness that awaits when we lose a firm boundary around the idea that humans, all of us, are equally worthy as is.
  • The AI dream is “governed by the perfectibility thesis, and that’s where we see a fascist form of the human.”
  • “Why are you trying to trick people into thinking that it really feels sad that you lost your phone?”
Ed Webb

Start Calling it Digital Liberal Arts | The Transducer - 0 views

transducer.ontoligent.com/?p=1013

education DH LiberalArts liberal_arts opinion

shared by Ed Webb on 22 Feb 13 - No Cached
  • No longer an inno­cent place for the play­ful encounter between tech­nol­ogy and inter­pre­ta­tion, DH is now being inter­ro­gated for evi­dence of par­tic­i­pa­tion in an exclu­sivist techno­sci­en­tific imag­i­nary, and there are many will­ing to save the field by the­o­riz­ing what has remained for too long under­the­o­rized
  • This is in con­trast to the dig­i­tal human­i­ties, and indeed dig­i­tal schol­ar­ship as a whole, which has its heart in the edi­tion and the archive
  • DLA is inclu­sive of the entire arts and sci­ences spec­trum
  • ...5 more annotations...
  • DLA is explic­itly res­i­den­tial and dia­log­i­cal
  • Not so much a replace­ment as a sup­ple­ment to dig­i­tal human­i­ties, DLA broad­ens the scope and relo­cates the cen­ter of grav­ity of what I have referred to as the dig­i­tal human­i­ties sit­u­a­tion, the recur­ring, play­ful encounter of human­ists with tech­nol­ogy.  Instead of focus­ing on what may bet­ter be described as the com­pu­ta­tional human­i­ties (a use­ful term recently pro­posed by Lev Manovich), the dig­i­tal lib­eral arts seeks to locate dig­i­tal media squarely within the frame of the lib­eral arts, broadly con­ceived as a cur­ricu­lum, not a dis­ci­pline or even set of dis­ci­plines, and as a dis­tinc­tive mode of edu­ca­tional expe­ri­ence, not a set of received the­o­ret­i­cal con­cerns. It is a fram­ing par­tic­u­larly suited to lib­eral arts col­leges — America’s great con­tri­bu­tion to higher learn­ing — but also to uni­ver­si­ties, such as UVa, whose souls are in the lib­eral arts as well.
  • the idea of Coursera-style MOOCs being part of the DLA is a non-starter, although dis­trib­uted and medi­ated forms of edu­ca­tion can, and I think must, become part of the lib­eral arts experience
  • DLA is as con­cerned with ped­a­gogy as it is with research
  • focus­ing on the real use of dig­i­tal col­lec­tions (for exam­ple) as much as on their cre­ation and publication
Ed Webb

Letting Us Rip: Our New Right to Fair Use of DVDs - ProfHacker - The Chronicle of Highe... - 0 views

chronicle.com/...25797

video rip copyright tools fair_use

shared by Ed Webb on 28 Jul 10 - Cached
  • Motion pictures on DVDs that are lawfully made and acquired and that are protected by the Content Scrambling System [CSS] when circumvention is accomplished solely in order to accomplish the incorporation of short portions of motion pictures into new works for the purpose of criticism or comment, and where the person engaging in circumvention believes and has reasonable grounds for believing that circumvention is necessary to fulfill the purpose of the use in the following instances: (i) Educational uses by college and university professors and by college and university film and media studies students; (ii) Documentary filmmaking; (iii) Noncommercial videos. [Note: the term "motion picture" does not solely mean feature films—for the Library of Congress, it refers to "audiovisual works consisting of a series of related images which, when shown in succession, impart an impression of motion, together with accompanying sounds, if any." Hence, the term includes television, animation, and pretty much any moving image to be found on DVD.]
  • the longer explanation from the Library of Congress specifies that circumventing CSS on a DVD is only justified when non-circumventing methods, such as videotaping the screen while playing the DVD or using screen-capture tools through a computer, are unacceptable due to inadequate audio or visual quality. But nevertheless, this ruling greatly expands who can use ripping software to clip DVDs for academic and transformative use, including a range of derivative works like remix videos and documentaries.
  • Now, no matter your discipline, you (or your technological partners) can do what I've been doing for the past three years: assemble a personal (or departmental) library of clips to access for class lectures. Now we can expand the use of those clips to embed in conference presentations, public lectures, digital publications, companion websites or DVDs to include with print publications, or other innovative uses that had otherwise been stifled by legal restrictions. For me, having a hard drive full of video clips on hand enables a mode of improvisation not available with DVDs—if discussion shifts to talking about an example of a film or television show that I've ripped a clip for another course, I can instantly play it in class even without planning in advance by bringing the DVD. Think of the conference presentations you've seen where a presenter fumbles over cuing and swapping DVDs—with a little bit of planning, clips can be directly embedded into a slideshow to avoid awkwardly wasting time.
  • ...2 more annotations...
  • Fair Use isn't a NEW right under the exemptions, but a REAFFIRMED and RESTORED right
  • .wav, .mpeg, .mp3, .avi are all formats and codecs with owners.
Ed Webb

A Review of NOOKStudy - ProfHacker - The Chronicle of Higher Education - 0 views

chronicle.com/...26831

nook ebooks ereaders

shared by Ed Webb on 15 Sep 10 - No Cached
  • Though the software will sync information between two computers, highlights and notes created in NOOKStudy won't sync to the Nook, nor will highlights and notes created on the Nook sync to NOOKStudy. In fact, NOOKStudy couldn't even bring me to the correct page in the book I'm currently reading. At least the pages in NOOKStudy seem to correspond with the pagination you'd see on the Nook, so finding one's place isn't horrendously difficult, but still. Amazon had this sort of thing figured out with Whispersync some time ago.
Ed Webb

"1945-1998" by Isao Hashimoto: CTBTO Preparatory Commission - 0 views

www.ctbto.org/...1945-1998-by-isao-hashimoto

atomic atompunk visualization art GIS

shared by Ed Webb on 12 Jul 09 - Cached
    • Ed Webb
      Ed Webb on 12 Jul 09
       
      The retro computer game aesthetic really works for this atompunk artwork
Ed Webb

Op-Ed Contributor - Lost in the Cloud - NYTimes.com - 0 views

www.nytimes.com/...20zittrain.html

tools cloud cloudcomputing innovation law

shared by Ed Webb on 20 Jul 09 - Cached
  • the most difficult challenge — both to grasp and to solve — of the cloud is its effect on our freedom to innovate.
  • Apple can decide who gets to write code for your phone and which of those offerings will be allowed to run. The company has used this power in ways that Bill Gates never dreamed of when he was the king of Windows: Apple is reported to have censored e-book apps that contain controversial content, eliminated games with political overtones, and blocked uses for the phone that compete with the company’s products. The market is churning through these issues. Amazon is offering a generic cloud-computing infrastructure so anyone can set up new software on a new Web site without gatekeeping by the likes of Facebook. Google’s Android platform is being used in a new generation of mobile phones with fewer restrictions on outside code. But the dynamics here are complicated. When we vest our activities and identities in one place in the cloud, it takes a lot of dissatisfaction for us to move. And many software developers who once would have been writing whatever they wanted for PCs are simply developing less adventurous, less subversive, less game-changing code under the watchful eyes of Facebook and Apple.
Ed Webb

Bryan Alexander at the 2009 Baylor Educational Technology Showcase « Gardner ... - 0 views

www.gardnercampbell.net/blog1

baylor gardner bryanalexander NITLE web2.0 digitalstorytelling

shared by Ed Webb on 28 Mar 09 - Cached
  • Web 2.0. Social Networking. Gaming. Mobile Computing. Above all: teaching and learning.
  • Ed Webb on 28 Mar 09
     
    Color me envious
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