The Creative Process · Arts, Culture & Society: Books, Film, Music, TV, Art, Writing, Creativity, Education, Environment, Th The Creative Process

“I'd like to focus more on the immediate harms that the kinds of AI technologies we have today might pose. With language models, the kind of technology that powers ChatGPT and other chatbots, there are harms that might result from regular use of these systems, and then there are harms that might result from malicious use. Regular use would be how you and I might use ChatGPT and other chatbots to do ordinary things. There is a concern that these systems might reproduce and amplify, for example, racist or sexist biases, or spread misinformation. These systems are known to, as researchers put it, “hallucinate” in some cases, making up facts or false citations. And then there are the harms from malicious use, which might result from some bad actors using the systems for nefarious purposes. That would include disinformation on a mass scale. You could imagine a bad actor using language models to automate the creation of fake news and propaganda to try to manipulate voters, for example. And this takes us into the medium term future, because we're not quite there, but another concern would be language models providing dangerous, potentially illegal information that is not readily available on the internet for anyone to access. As they get better over time, there is a concern that in the wrong hands, these systems might become quite powerful weapons, at least indirectly, and so people have been trying to mitigate these potential harms.”

How can we ensure that AI is aligned with human values? What can AI teach us about human cognition and creativity?

Dr. Raphael Millière is Assistant Professor in Philosophy of AI at Macquarie University in Sydney, Australia. His research primarily explores the theoretical foundations and inner workings of AI systems based on deep learning, such as large language models. He investigates whether these systems can exhibit human-like cognitive capacities, drawing on theories and methods from cognitive science. He is also interested in how insights from studying AI might shed new light on human cognition. Ultimately, his work aims to advance our understanding of both artificial and natural intelligence.

“Bookselling captured my imagination and my heart as soon as I started working at the bookstore because I could see the potential for this great, amazing community-oriented work. Of course, it's a thrill to be around books, to meet authors, to read all this stuff, and to spend all day with people who love books, but what I think I really fell in love with was the sense of community, the people behind it, and the way a bookstore can really be an engine for positive social change within its community and in a broader sense as well. My whole nonfiction book project started with a tweet thread. It was about how every bookseller has to be prepared to have this discussion: a customer comes in, and they're like, this book is 50 percent off on Amazon. Why should I buy it here? So, I don't think about it quite as withholding from Amazon as much as contributing to these local community-oriented businesses. The thing that unites my poetry and the nonfiction writing is my main obsession as a writer. It's the question of, how do you live meaningfully in late capitalism? As corporations and global capitalist forces take over the world, what does it mean to try to have a meaningful human life? I think the proliferation of objects might reflect that. A lot of what we do in this world is collect objects, and regardless of whether it's good or bad, you build a nest. I think that in Picture Window in particular, I wanted to write about the domestic in a way that I hadn't written in so far. And then the pandemic happened, so I was forced into this weird, uneasy, claustrophobic domesticity. When your attention is so focused within your own home and within your own family, every object in your house takes on a new resonance. So, when a tennis ball that you've never seen somehow shows up in your house, that's weird. It's poetic. It feels dreamlike.”

What is the future of literature in the age of generative AI? How can bookstores build community and be engines for positive social change? What does it mean to try to have a meaningful human life?

Danny Caine is the author of the poetry collections Continental Breakfast, El Dorado Freddy's, Flavortown, and Picture Window, as well as the books How to Protect Bookstores and Why and How to Resist Amazon and Why. His poetry has appeared in The Slowdown, Lit Hub, Diagram, HAD, and Barrelhouse.  He's a co-owner of The Raven Bookstore, Publisher's Weekly's 2022 Bookstore of the Year.

“It gets back to this core question. I just wish I was a young scientist going into this because that's the question to answer: Why AI comes out with what it does. That's the burning question. It's like it's bigger than the origin of the universe to me as a scientist, and here's the reason why. The origin of the universe, it happened. That's why we're here. It's almost like a historical question asking why it happened. The AI future is not a historical question. It's a now and future question.
I'm a huge optimist for AI, actually. I see it as part of that process of climbing its own mountain. It could do wonders for so many areas of science, medicine. When the car came out, the car initially is a disaster. But you fast forward, and it was the key to so many advances in society. I think it's exactly the same as AI. The big challenge is to understand why it works. AI existed for years, but it was useless. Nothing useful, nothing useful, nothing useful. And then maybe last year or something, now it's really useful. There seemed to be some kind of jump in its ability, almost like a shock wave. We're trying to develop an understanding of how AI operates in terms of these shockwave jumps. Revealing how AI works will help society understand what it can and can't do and therefore remove some of this dark fear of being taken over. If you don't understand how AI works, how can you govern it? To get effective governance, you need to understand how AI works because otherwise you don't know what you're going to regulate.”

Neil Johnson is a physics professor at George Washington University. His new initiative in Complexity and Data Science at the Dynamic Online Networks Lab combines cross-disciplinary fundamental research with data science to attack complex real-world problems. His research interests lie in the broad area of Complex Systems and ‘many-body’ out-of-equilibrium systems of collections of objects, ranging from crowds of particles to crowds of people and from environments as distinct as quantum information processing in nanostructures to the online world of collective behavior on social media.