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Ed Webb

Meet Eric Goldstein - CEO of Amplify : LyndiT.com - 0 views

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    Prime mover behind a great social media tool
Ed Webb

Artificial Intelligence and the Future of Humans | Pew Research Center - 0 views

  • experts predicted networked artificial intelligence will amplify human effectiveness but also threaten human autonomy, agency and capabilities
  • most experts, regardless of whether they are optimistic or not, expressed concerns about the long-term impact of these new tools on the essential elements of being human. All respondents in this non-scientific canvassing were asked to elaborate on why they felt AI would leave people better off or not. Many shared deep worries, and many also suggested pathways toward solutions. The main themes they sounded about threats and remedies are outlined in the accompanying table.
  • CONCERNS Human agency: Individuals are  experiencing a loss of control over their lives Decision-making on key aspects of digital life is automatically ceded to code-driven, "black box" tools. People lack input and do not learn the context about how the tools work. They sacrifice independence, privacy and power over choice; they have no control over these processes. This effect will deepen as automated systems become more prevalent and complex. Data abuse: Data use and surveillance in complex systems is designed for profit or for exercising power Most AI tools are and will be in the hands of companies striving for profits or governments striving for power. Values and ethics are often not baked into the digital systems making people's decisions for them. These systems are globally networked and not easy to regulate or rein in. Job loss: The AI takeover of jobs will widen economic divides, leading to social upheaval The efficiencies and other economic advantages of code-based machine intelligence will continue to disrupt all aspects of human work. While some expect new jobs will emerge, others worry about massive job losses, widening economic divides and social upheavals, including populist uprisings. Dependence lock-in: Reduction of individuals’ cognitive, social and survival skills Many see AI as augmenting human capacities but some predict the opposite - that people's deepening dependence on machine-driven networks will erode their abilities to think for themselves, take action independent of automated systems and interact effectively with others. Mayhem: Autonomous weapons, cybercrime and weaponized information Some predict further erosion of traditional sociopolitical structures and the possibility of great loss of lives due to accelerated growth of autonomous military applications and the use of weaponized information, lies and propaganda to dangerously destabilize human groups. Some also fear cybercriminals' reach into economic systems.
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  • AI and ML [machine learning] can also be used to increasingly concentrate wealth and power, leaving many people behind, and to create even more horrifying weapons
  • “In 2030, the greatest set of questions will involve how perceptions of AI and their application will influence the trajectory of civil rights in the future. Questions about privacy, speech, the right of assembly and technological construction of personhood will all re-emerge in this new AI context, throwing into question our deepest-held beliefs about equality and opportunity for all. Who will benefit and who will be disadvantaged in this new world depends on how broadly we analyze these questions today, for the future.”
  • SUGGESTED SOLUTIONS Global good is No. 1: Improve human collaboration across borders and stakeholder groups Digital cooperation to serve humanity's best interests is the top priority. Ways must be found for people around the world to come to common understandings and agreements - to join forces to facilitate the innovation of widely accepted approaches aimed at tackling wicked problems and maintaining control over complex human-digital networks. Values-based system: Develop policies to assure AI will be directed at ‘humanness’ and common good Adopt a 'moonshot mentality' to build inclusive, decentralized intelligent digital networks 'imbued with empathy' that help humans aggressively ensure that technology meets social and ethical responsibilities. Some new level of regulatory and certification process will be necessary. Prioritize people: Alter economic and political systems to better help humans ‘race with the robots’ Reorganize economic and political systems toward the goal of expanding humans' capacities and capabilities in order to heighten human/AI collaboration and staunch trends that would compromise human relevance in the face of programmed intelligence.
  • “I strongly believe the answer depends on whether we can shift our economic systems toward prioritizing radical human improvement and staunching the trend toward human irrelevance in the face of AI. I don’t mean just jobs; I mean true, existential irrelevance, which is the end result of not prioritizing human well-being and cognition.”
  • We humans care deeply about how others see us – and the others whose approval we seek will increasingly be artificial. By then, the difference between humans and bots will have blurred considerably. Via screen and projection, the voice, appearance and behaviors of bots will be indistinguishable from those of humans, and even physical robots, though obviously non-human, will be so convincingly sincere that our impression of them as thinking, feeling beings, on par with or superior to ourselves, will be unshaken. Adding to the ambiguity, our own communication will be heavily augmented: Programs will compose many of our messages and our online/AR appearance will [be] computationally crafted. (Raw, unaided human speech and demeanor will seem embarrassingly clunky, slow and unsophisticated.) Aided by their access to vast troves of data about each of us, bots will far surpass humans in their ability to attract and persuade us. Able to mimic emotion expertly, they’ll never be overcome by feelings: If they blurt something out in anger, it will be because that behavior was calculated to be the most efficacious way of advancing whatever goals they had ‘in mind.’ But what are those goals?
  • AI will drive a vast range of efficiency optimizations but also enable hidden discrimination and arbitrary penalization of individuals in areas like insurance, job seeking and performance assessment
  • The record to date is that convenience overwhelms privacy
  • As AI matures, we will need a responsive workforce, capable of adapting to new processes, systems and tools every few years. The need for these fields will arise faster than our labor departments, schools and universities are acknowledging
  • AI will eventually cause a large number of people to be permanently out of work
  • Newer generations of citizens will become more and more dependent on networked AI structures and processes
  • there will exist sharper divisions between digital ‘haves’ and ‘have-nots,’ as well as among technologically dependent digital infrastructures. Finally, there is the question of the new ‘commanding heights’ of the digital network infrastructure’s ownership and control
  • As a species we are aggressive, competitive and lazy. We are also empathic, community minded and (sometimes) self-sacrificing. We have many other attributes. These will all be amplified
  • Given historical precedent, one would have to assume it will be our worst qualities that are augmented
  • Our capacity to modify our behaviour, subject to empathy and an associated ethical framework, will be reduced by the disassociation between our agency and the act of killing
  • We cannot expect our AI systems to be ethical on our behalf – they won’t be, as they will be designed to kill efficiently, not thoughtfully
  • the Orwellian nightmare realised
  • “AI will continue to concentrate power and wealth in the hands of a few big monopolies based on the U.S. and China. Most people – and parts of the world – will be worse off.”
  • The remainder of this report is divided into three sections that draw from hundreds of additional respondents’ hopeful and critical observations: 1) concerns about human-AI evolution, 2) suggested solutions to address AI’s impact, and 3) expectations of what life will be like in 2030, including respondents’ positive outlooks on the quality of life and the future of work, health care and education
Ed Webb

The Digital Maginot Line - 0 views

  • The Information World War has already been going on for several years. We called the opening skirmishes “media manipulation” and “hoaxes”, assuming that we were dealing with ideological pranksters doing it for the lulz (and that lulz were harmless). In reality, the combatants are professional, state-employed cyberwarriors and seasoned amateur guerrillas pursuing very well-defined objectives with military precision and specialized tools. Each type of combatant brings a different mental model to the conflict, but uses the same set of tools.
  • There are also small but highly-skilled cadres of ideologically-motivated shitposters whose skill at information warfare is matched only by their fundamental incomprehension of the real damage they’re unleashing for lulz. A subset of these are conspiratorial — committed truthers who were previously limited to chatter on obscure message boards until social platform scaffolding and inadvertently-sociopathic algorithms facilitated their evolution into leaderless cults able to spread a gospel with ease.
  • There’s very little incentive not to try everything: this is a revolution that is being A/B tested.
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  • The combatants view this as a Hobbesian information war of all against all and a tactical arms race; the other side sees it as a peacetime civil governance problem.
  • Our most technically-competent agencies are prevented from finding and countering influence operations because of the concern that they might inadvertently engage with real U.S. citizens as they target Russia’s digital illegals and ISIS’ recruiters. This capability gap is eminently exploitable; why execute a lengthy, costly, complex attack on the power grid when there is relatively no cost, in terms of dollars as well as consequences, to attack a society’s ability to operate with a shared epistemology? This leaves us in a terrible position, because there are so many more points of failure
  • Cyberwar, most people thought, would be fought over infrastructure — armies of state-sponsored hackers and the occasional international crime syndicate infiltrating networks and exfiltrating secrets, or taking over critical systems. That’s what governments prepared and hired for; it’s what defense and intelligence agencies got good at. It’s what CSOs built their teams to handle. But as social platforms grew, acquiring standing audiences in the hundreds of millions and developing tools for precision targeting and viral amplification, a variety of malign actors simultaneously realized that there was another way. They could go straight for the people, easily and cheaply. And that’s because influence operations can, and do, impact public opinion. Adversaries can target corporate entities and transform the global power structure by manipulating civilians and exploiting human cognitive vulnerabilities at scale. Even actual hacks are increasingly done in service of influence operations: stolen, leaked emails, for example, were profoundly effective at shaping a national narrative in the U.S. election of 2016.
  • The substantial time and money spent on defense against critical-infrastructure hacks is one reason why poorly-resourced adversaries choose to pursue a cheap, easy, low-cost-of-failure psy-ops war instead
  • Information war combatants have certainly pursued regime change: there is reasonable suspicion that they succeeded in a few cases (Brexit) and clear indications of it in others (Duterte). They’ve targeted corporations and industries. And they’ve certainly gone after mores: social media became the main battleground for the culture wars years ago, and we now describe the unbridgeable gap between two polarized Americas using technological terms like filter bubble. But ultimately the information war is about territory — just not the geographic kind. In a warm information war, the human mind is the territory. If you aren’t a combatant, you are the territory. And once a combatant wins over a sufficient number of minds, they have the power to influence culture and society, policy and politics.
  • This shift from targeting infrastructure to targeting the minds of civilians was predictable. Theorists  like Edward Bernays, Hannah Arendt, and Marshall McLuhan saw it coming decades ago. As early as 1970, McLuhan wrote, in Culture is our Business, “World War III is a guerrilla information war with no division between military and civilian participation.”
  • The 2014-2016 influence operation playbook went something like this: a group of digital combatants decided to push a specific narrative, something that fit a long-term narrative but also had a short-term news hook. They created content: sometimes a full blog post, sometimes a video, sometimes quick visual memes. The content was posted to platforms that offer discovery and amplification tools. The trolls then activated collections of bots and sockpuppets to blanket the biggest social networks with the content. Some of the fake accounts were disposable amplifiers, used mostly to create the illusion of popular consensus by boosting like and share counts. Others were highly backstopped personas run by real human beings, who developed standing audiences and long-term relationships with sympathetic influencers and media; those accounts were used for precision messaging with the goal of reaching the press. Israeli company Psy Group marketed precisely these services to the 2016 Trump Presidential campaign; as their sales brochure put it, “Reality is a Matter of Perception”.
  • If an operation is effective, the message will be pushed into the feeds of sympathetic real people who will amplify it themselves. If it goes viral or triggers a trending algorithm, it will be pushed into the feeds of a huge audience. Members of the media will cover it, reaching millions more. If the content is false or a hoax, perhaps there will be a subsequent correction article – it doesn’t matter, no one will pay attention to it.
  • Combatants are now focusing on infiltration rather than automation: leveraging real, ideologically-aligned people to inadvertently spread real, ideologically-aligned content instead. Hostile state intelligence services in particular are now increasingly adept at operating collections of human-operated precision personas, often called sockpuppets, or cyborgs, that will escape punishment under the the bot laws. They will simply work harder to ingratiate themselves with real American influencers, to join real American retweet rings. If combatants need to quickly spin up a digital mass movement, well-placed personas can rile up a sympathetic subreddit or Facebook Group populated by real people, hijacking a community in the way that parasites mobilize zombie armies.
  • Attempts to legislate away 2016 tactics primarily have the effect of triggering civil libertarians, giving them an opportunity to push the narrative that regulators just don’t understand technology, so any regulation is going to be a disaster.
  • The entities best suited to mitigate the threat of any given emerging tactic will always be the platforms themselves, because they can move fast when so inclined or incentivized. The problem is that many of the mitigation strategies advanced by the platforms are the information integrity version of greenwashing; they’re a kind of digital security theater, the TSA of information warfare
  • Algorithmic distribution systems will always be co-opted by the best resourced or most technologically capable combatants. Soon, better AI will rewrite the playbook yet again — perhaps the digital equivalent of  Blitzkrieg in its potential for capturing new territory. AI-generated audio and video deepfakes will erode trust in what we see with our own eyes, leaving us vulnerable both to faked content and to the discrediting of the actual truth by insinuation. Authenticity debates will commandeer media cycles, pushing us into an infinite loop of perpetually investigating basic facts. Chronic skepticism and the cognitive DDoS will increase polarization, leading to a consolidation of trust in distinct sets of right and left-wing authority figures – thought oligarchs speaking to entirely separate groups
  • platforms aren’t incentivized to engage in the profoundly complex arms race against the worst actors when they can simply point to transparency reports showing that they caught a fair number of the mediocre actors
  • What made democracies strong in the past — a strong commitment to free speech and the free exchange of ideas — makes them profoundly vulnerable in the era of democratized propaganda and rampant misinformation. We are (rightfully) concerned about silencing voices or communities. But our commitment to free expression makes us disproportionately vulnerable in the era of chronic, perpetual information war. Digital combatants know that once speech goes up, we are loathe to moderate it; to retain this asymmetric advantage, they push an all-or-nothing absolutist narrative that moderation is censorship, that spammy distribution tactics and algorithmic amplification are somehow part of the right to free speech.
  • We need an understanding of free speech that is hardened against the environment of a continuous warm war on a broken information ecosystem. We need to defend the fundamental value from itself becoming a prop in a malign narrative.
  • Unceasing information war is one of the defining threats of our day. This conflict is already ongoing, but (so far, in the United States) it’s largely bloodless and so we aren’t acknowledging it despite the huge consequences hanging in the balance. It is as real as the Cold War was in the 1960s, and the stakes are staggeringly high: the legitimacy of government, the persistence of societal cohesion, even our ability to respond to the impending climate crisis.
  • Influence operations exploit divisions in our society using vulnerabilities in our information ecosystem. We have to move away from treating this as a problem of giving people better facts, or stopping some Russian bots, and move towards thinking about it as an ongoing battle for the integrity of our information infrastructure – easily as critical as the integrity of our financial markets.
Ed Webb

In today's dispatch from Planet Irony... - 1 views

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    Plagiarism is bad, okay?
Ed Webb

BBC News - World News America - How to disconnect from your online life - 0 views

  • "We figured out that people have advertised so much with their online ego, that basically a kind of avatar persona has been created so actually people start talking about killing someone like it would be a real person,"
  • "If you are heavily active [on the internet], by disconnecting you are losing a significant relationship. Those 30 or 40 hours of time now have to be filled with real life." Dr Block says some people can find it very gratifying, while others find they are not capable of staying disconnected. However, he believes the worst case scenario is when the decision to disconnect is made by a third party. "It can be a disaster and can even lead to suicide."
  • If we can't live in the moment without tweeting about it, or broadcasting all of our thoughts to our 2,000 Facebook friends, are we in danger of losing our sense of identity?
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  • "We are a social species, we've always shaped each other's identities. "What's happened now, is the explicitness, the permanentness, the globalness, the searchability, all of those things have amplified a bunch of those effects." So how do we navigate this magnified environment we are all operating in now? Mr Shirky's advice is to find balance. "We should look at the medium and say what are its advantages and disadvantages, and how can we maximise the former and minimize the latter, based on the way the world is right now?
Ed Webb

Is Singapore utopia? - 4 views

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    Discuss. I'm sure Jabiz would be interested!
Ed Webb

Doubleplusungood - 0 views

Ed Webb

What we still haven't learned from Gamergate - Vox - 0 views

  • Harassment and misogyny had been problems in the community for years before this; the deep resentment and anger toward women that powered Gamergate percolated for years on internet forums. Robert Evans, a journalist who specializes in extremist communities and the host of the Behind the Bastards podcast, described Gamergate to me as partly organic and partly born out of decades-long campaigns by white supremacists and extremists to recruit heavily from online forums. “Part of why Gamergate happened in the first place was because you had these people online preaching to these groups of disaffected young men,” he said. But what Gamergate had that those previous movements didn’t was an organized strategy, made public, cloaking itself as a political movement with a flimsy philosophical stance, its goals and targets amplified by the power of Twitter and a hashtag.
  • The hate campaign, we would later learn, was the moment when our ability to repress toxic communities and write them off as just “trolls” began to crumble. Gamergate ultimately gave way to something deeper, more violent, and more uncontrollable.
  • Police have to learn how to keep the rest of us safe from internet mobs
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  • the justice system continues to be slow to understand the link between online harassment and real-life violence
  • In order to increase public safety this decade, it is imperative that police — and everyone else — become more familiar with the kinds of communities that engender toxic, militant systems of harassment, and the online and offline spaces where these communities exist. Increasingly, that means understanding social media’s dark corners, and the types of extremism they can foster.
  • Businesses have to learn when online outrage is manufactured
  • There’s a difference between organic outrage that arises because an employee actually does something outrageous, and invented outrage that’s an excuse to harass someone whom a group has already decided to target for unrelated reasons — for instance, because an employee is a feminist. A responsible business would ideally figure out which type of outrage is occurring before it punished a client or employee who was just doing their job.
  • Social media platforms didn’t learn how to shut down disingenuous conversations over ethics and free speech before they started to tear their cultures apart
  • Dedication to free speech over the appearance of bias is especially important within tech culture, where a commitment to protecting free speech is both a banner and an excuse for large corporations to justify their approach to content moderation — or lack thereof.
  • Reddit’s free-speech-friendly moderation stance resulted in the platform tacitly supporting pro-Gamergate subforums like r/KotakuInAction, which became a major contributor to Reddit’s growing alt-right community. Twitter rolled out a litany of moderation tools in the wake of Gamergate, intended to allow harassment targets to perpetually block, mute, and police their own harassers — without actually effectively making the site unwelcome for the harassers themselves. And YouTube and Facebook, with their algorithmic amplification of hateful and extreme content, made no effort to recognize the violence and misogyny behind pro-Gamergate content, or police them accordingly.
  • All of these platforms are wrestling with problems that seem to have grown beyond their control; it’s arguable that if they had reacted more swiftly to slow the growth of the internet’s most toxic and misogynistic communities back when those communities, particularly Gamergate, were still nascent, they could have prevented headaches in the long run — and set an early standard for how to deal with ever-broadening issues of extremist content online.
  • Violence against women is a predictor of other kinds of violence. We need to acknowledge it.
  • Somehow, the idea that all of that sexism and anti-feminist anger could be recruited, harnessed, and channeled into a broader white supremacist movement failed to generate any real alarm, even well into 2016
  • many of the perpetrators of real-world violence are radicalized online first
  • It remains difficult for many to accept the throughline from online abuse to real-world violence against women, much less the fact that violence against women, online and off, is a predictor of other kinds of real-world violence
  • Politicians and the media must take online “ironic” racism and misogyny seriously
  • Gamergate masked its misogyny in a coating of shrill yelling that had most journalists in 2014 writing off the whole incident as “satirical” and immature “trolling,” and very few correctly predicting that Gamergate’s trolling was the future of politics
  • Gamergate was all about disguising a sincere wish for violence and upheaval by dressing it up in hyperbole and irony in order to confuse outsiders and make it all seem less serious.
  • Gamergate simultaneously masqueraded as legitimate concern about ethics that demanded audiences take it seriously, and as total trolling that demanded audiences dismiss it entirely. Both these claims served to obfuscate its real aim — misogyny, and, increasingly, racist white supremacy
  • The public’s failure to understand and accept that the alt-right’s misogyny, racism, and violent rhetoric is serious goes hand in hand with its failure to understand and accept that such rhetoric is identical to that of President Trump
  • deploying offensive behavior behind a guise of mock outrage, irony, trolling, and outright misrepresentation, in order to mask the sincere extremism behind the message.
  • many members of the media, politicians, and members of the public still struggle to accept that Trump’s rhetoric is having violent consequences, despite all evidence to the contrary.
  • The movement’s insistence that it was about one thing (ethics in journalism) when it was about something else (harassing women) provided a case study for how extremists would proceed to drive ideological fissures through the foundations of democracy: by building a toxic campaign of hate beneath a veneer of denial.
Ed Webb

AI Causes Real Harm. Let's Focus on That over the End-of-Humanity Hype - Scientific Ame... - 0 views

  • Wrongful arrests, an expanding surveillance dragnet, defamation and deep-fake pornography are all actually existing dangers of so-called “artificial intelligence” tools currently on the market. That, and not the imagined potential to wipe out humanity, is the real threat from artificial intelligence.
  • Beneath the hype from many AI firms, their technology already enables routine discrimination in housing, criminal justice and health care, as well as the spread of hate speech and misinformation in non-English languages. Already, algorithmic management programs subject workers to run-of-the-mill wage theft, and these programs are becoming more prevalent.
  • Corporate AI labs justify this posturing with pseudoscientific research reports that misdirect regulatory attention to such imaginary scenarios using fear-mongering terminology, such as “existential risk.”
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  • Because the term “AI” is ambiguous, it makes having clear discussions more difficult. In one sense, it is the name of a subfield of computer science. In another, it can refer to the computing techniques developed in that subfield, most of which are now focused on pattern matching based on large data sets and the generation of new media based on those patterns. Finally, in marketing copy and start-up pitch decks, the term “AI” serves as magic fairy dust that will supercharge your business.
  • output can seem so plausible that without a clear indication of its synthetic origins, it becomes a noxious and insidious pollutant of our information ecosystem
  • Not only do we risk mistaking synthetic text for reliable information, but also that noninformation reflects and amplifies the biases encoded in its training data—in this case, every kind of bigotry exhibited on the Internet. Moreover the synthetic text sounds authoritative despite its lack of citations back to real sources. The longer this synthetic text spill continues, the worse off we are, because it gets harder to find trustworthy sources and harder to trust them when we do.
  • the people selling this technology propose that text synthesis machines could fix various holes in our social fabric: the lack of teachers in K–12 education, the inaccessibility of health care for low-income people and the dearth of legal aid for people who cannot afford lawyers, just to name a few
  • the systems rely on enormous amounts of training data that are stolen without compensation from the artists and authors who created it in the first place
  • the task of labeling data to create “guardrails” that are intended to prevent an AI system’s most toxic output from seeping out is repetitive and often traumatic labor carried out by gig workers and contractors, people locked in a global race to the bottom for pay and working conditions.
  • employers are looking to cut costs by leveraging automation, laying off people from previously stable jobs and then hiring them back as lower-paid workers to correct the output of the automated systems. This can be seen most clearly in the current actors’ and writers’ strikes in Hollywood, where grotesquely overpaid moguls scheme to buy eternal rights to use AI replacements of actors for the price of a day’s work and, on a gig basis, hire writers piecemeal to revise the incoherent scripts churned out by AI.
  • too many AI publications come from corporate labs or from academic groups that receive disproportionate industry funding. Much is junk science—it is nonreproducible, hides behind trade secrecy, is full of hype and uses evaluation methods that lack construct validity
  • We urge policymakers to instead draw on solid scholarship that investigates the harms and risks of AI—and the harms caused by delegating authority to automated systems, which include the unregulated accumulation of data and computing power, climate costs of model training and inference, damage to the welfare state and the disempowerment of the poor, as well as the intensification of policing against Black and Indigenous families. Solid research in this domain—including social science and theory building—and solid policy based on that research will keep the focus on the people hurt by this technology.
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