Instructional & Media Services at Dickinson College

It is not cheapIt is not quickYou need to invest in building up your own staff expertiseIt will bring additional problems that you didn’t have beforeStudents will need different types of support

the main issue here is the cut in academic staff and the outsourcing of expertise. Invest in your staff.

a better solution is to invest in staff (and here institutions might want to get expertise in to help), use OER for content, and make strategic decisions that have as their basis the belief that online, distance ed is a useful, valid form of education.

there is no objective standard of success that we reach when we insist on rigor, which is too often deployed in defense of practices that are ableist and unkind

We are not just teachers, or scholars, or professionals. We are individuals thrown back in varying degrees on our own resources, worried about ourselves and our families and friends as we navigate the effects of COVID-19. Many of us are deeply anxious and afraid. Our pre-existing frailties have been magnified; we feel vulnerable, distracted and at sea. Our loved ones are sick, even dying. This is trauma. Few of us have faced such world-changing circumstances before, and as our minds absorb the impact of that reality, our brains cannot perform as capably as they usually would.

The most professional people I know right now are those who show up, day after day, to teach under extraordinary circumstances. Perhaps they do it with their laundry waiting to be folded, while their children interrupt, thinking constantly of their loved ones, weathering loneliness, wearing sweatpants and potentially in need of a haircut. But I know they do it while acknowledging this is not the world in which we taught two months before, and that every student is facing disruption, uncertainty and distraction. They do it creatively, making room for the unexpected, challenging their students, with the world a participant in the conversation.

“What surprised me was the resurgence of many of the zombie ideas about online learning creeping into the discussions, such as the idea that online learning isn’t as personal, or that you can’t have interactivity, or that it just doesn’t work. And while it is true you need to change how you think about your course — you can’t just replicate what you used to do in the classroom — there’s an opportunity to evolve your teaching practices and create a better learning experience for your students.”

What’s happening now is going to reshape education for years, if not decades.

People want the old normal, not the new normal. We will, to some degree, get back to what we know and love, but it won’t ever look like it did before

“Like your physical buildings on campus, you also have a somewhat invisible set of resources called your educational technology. If you don’t understand it well and don’t treat it as important infrastructure, your ability to move online sustainably will be challenged. Sometimes institutions see eLearning as a project, not a strategy. Online learning isn’t a fly-by-the-seat-of-your-pants project; it has to be integrated into your academic plan and institutional strategy. I hope that COVID-19 underlined that for institutions.”

“We’ve known for over 30 years now that one-hour lectures are not a great way to teach: you can have a good one-hour session, but can you have 13 over a semester? It’s about cognitive load, and students can’t focus for more than 15 to 20 minutes at a time without being distracted. There’s room for synchronous discussion, but we can do it better. There’s a huge amount of research into online learning and what happens when students have access to online learning whenever they want it. And just like in real life, you have to know how to do both synchronous and asynchronous interactions well.”

We need to make space for the voices of communities who haven’t traditionally been heard: non-traditional learners, students who are food or housing insecure, students who are neurodivergent, students of colour, and Indigenous students. We must think of all these populations and the degree to which our educational system — our technology, our platforms — has not been built for them. We do a lot of work to make our methods accessible, but at the core, our systems, institutions, and platforms aren’t really built for — or by — those students

s challenging as it is, I’m seeing online pedagogy’s focus on equity and care resonating with many of those new to the medium

I’ve used really experimental styles over the past few years, but I won’t be doing that as much over the coming year because I shouldn’t. My classes are traditionally where students get to work with tools and platforms outside of the norm. If everyone moving online treats it that way, the cognitive load on the students will be absolutely overwhelming. My right to flex my academic freedom regarding platforms should be superseded by care and consideration for my students’ cognitive loads across a program. Navigating different platforms and tools is hard and distracting.

“One of the most vital tools and resources that I’ve seen people using is their human capacities for compassion and patience — the degree to which faculty are stepping up and approaching their students from a place of care, and a place of genuine desire for students to feel a sense of hope, safety, and flexibility.”

Students are more likely to watch a series of shorter videos than a single, longer video, which is why I recommend instructors try to divide long screencasts into five-to-ten minute segments (whenever possible)

asynchronous discussion with audio and video. If you’re not familiar with this concept, I’m referring to discussion tools that allow students to respond with audio and video instead of just text. One tool that’s been a leader for a long time in this multimedia discussion space is VoiceThread. While VoiceThread’s defining feature is its user-friendly approach to audio-based commenting, it can also be used to create narrated presentations with PowerPoints slides, images, and video. If you find yourself overwhelmed by the interface of a traditional screencasting tool, VoiceThread is worth exploring as a simpler way of recording online lectures and fostering discussions that go beyond plain text

tools that require both high bandwidth and high immediacy, and the best examples of this are videoconferencing tools like Zoom or Skype.  Videoconferencing is a great way to engage with students when they truly need to see and hear each other in real time. It can also be useful for online office hours, since it’s easier to feel connected and avoid misunderstandings when you have the benefit of tone of voice, facial expressions, and body language.  Unfortunately, videoconferencing is one of the most inflexible and bandwidth-intensive activities we can ask our students to do. Before you rely on it too heavily, look at the other quadrants and ask yourself if there’s any other way to accomplish your learning objectives without it. 

None of this is to say that videoconferencing is inherently bad or that it has no place in an online course. It’s simply a reminder that seemingly small (and sometimes unconscious) choices about the technologies we use can have a big impact on how inclusive and effective our teaching is.

“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?”