Tech, Innovation & Society - The Creative Process: Technology, AI, Software, Future, Economy, Science, Engineering & Robotics Interviews

An estimated one in two people will experience degrading environmental conditions this century and will be faced with the difficult question of whether to leave their homes. Will you be among those who migrate in response to climate change? If so, where will you go?Abrahm Lustgarten is an investigative reporter, author, and filmmaker whose work focuses on human adaptation to climate change. His 2010 Frontline documentary The Spill, which investigated BP’s company culture, was nominated for an Emmy. His 2015 longform series Killing the Colorado, about the draining of the Colorado river, was nominated for a Pulitzer Prize. Lustgarten is a senior reporter at ProPublica, and contributes to publications like The New York Times Magazine and The Atlantic. His research on climate migration influenced President Biden’s creation of a climate migration study group. This is also the topic of his newly published book, On The Move: The Overheating Earth and the Uprooting of America in which he explores how climate change is uprooting American lives.“So, New York City will ultimately build a seawall that it estimates will cost somewhere in the order of 120 billion dollars. And, you know, the fact is that many cities in the United States will not be able to afford that, especially smaller ones and especially southern ones.A part of planning for this needs to include thinking about managed retreat from highly vulnerable areas. The tax base of that community that supports schools undermines the real estate market and the value of property, and it can lead to a spiral of economic decline that can be really dangerous for the people who remain. This can really hollow out a community and that's an enormous challenge to deal with, but one way to deal with it is to try to keep the resources and infrastructure in a community proportional to the population that's utilizing it and to maintain some energy and prosperity and vitality. So, I think a lot of places in the United States need to plan to get smaller, which is really the antithesis of the American philosophy of growth and economic growth.If you want to keep your community intact, you could move together, or you could move to a place where your neighbors have also moved or something like that. That's the kind of new idea that is being batted around that can help keep communities coherent.”https://abrahm.comhttps://us.macmillan.com/books/9780374171735/onthemovewww.creativeprocess.infowww.oneplanetpodcast.orgIG www.instagram.com/creativeprocesspodcast

“There’s a lot of greenwashing that's going on these days. It is great marketing. And that was really the reason why I wrote this book. I had started to see the patterns. You can start to tell them the companies that are genuinely doing it versus the companies that are just talking about it. So that was one indicator, you know, a company that would send out a press release about their goals and what they anticipated to do in the next 5 to 10 years was very different from companies who had said, you know what, this is what we've achieved. Regenerative started coming into the lexicon, the term in 2017, 2018. And regenerative means to regenerate, means to bring life into something. To sustain means to keep the status quo. And regenerative looks at things from a very holistic lens. You know, it's like if you're going to run a regenerative farm, it's all the different components of the farm and the ecosystem ideally come within the ecosystem.”Esha Chhabra has written for national and international publications over the last 15 years, focusing on global development, the environment, and the intersection of business and impact. Her work has been featured in The New York Times, The Economist, The Guardian, and other publications. She is the author of Working to Restore: Harnessing the Power of Business to Heal the Earth.www.eshachhabra.comwww.beacon.org/Working-to-Restore-P2081.aspxwww.creativeprocess.infowww.oneplanetpodcast.orgIG www.instagram.com/creativeprocesspodcast

What is regenerative business? How can we create a business mindset that addresses social, economic and environmental issues?Esha Chhabra has written for national and international publications over the last 15 years, focusing on global development, the environment, and the intersection of business and impact. Her work has been featured in The New York Times, The Economist, The Guardian, and other publications. She is the author of Working to Restore: Harnessing the Power of Business to Heal the Earth.“There’s a lot of greenwashing that's going on these days. It is great marketing. And that was really the reason why I wrote this book. I had started to see the patterns. You can start to tell them the companies that are genuinely doing it versus the companies that are just talking about it. So that was one indicator, you know, a company that would send out a press release about their goals and what they anticipated to do in the next 5 to 10 years was very different from companies who had said, you know what, this is what we've achieved. Regenerative started coming into the lexicon, the term in 2017, 2018. And regenerative means to regenerate, means to bring life into something. To sustain means to keep the status quo. And regenerative looks at things from a very holistic lens. You know, it's like if you're going to run a regenerative farm, it's all the different components of the farm and the ecosystem ideally come within the ecosystem.”www.eshachhabra.comwww.beacon.org/Working-to-Restore-P2081.aspxwww.creativeprocess.infowww.oneplanetpodcast.orgIG www.instagram.com/creativeprocesspodcast

“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.”Dr. Raphaël 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.https://raphaelmilliere.comhttps://researchers.mq.edu.au/en/persons/raphael-millierewww.creativeprocess.infowww.oneplanetpodcast.orgIG www.instagram.com/creativeprocesspodcast

How can we ensure that AI is aligned with human values? What can AI teach us about human cognition and creativity?Dr. Raphaël 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.“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.”https://raphaelmilliere.comhttps://researchers.mq.edu.au/en/persons/raphael-milliere“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.”www.creativeprocess.infowww.oneplanetpodcast.orgIG www.instagram.com/creativeprocesspodcast

DANNY CAINE, Bookseller and Poet, discusses the importance of supporting local bookstores over online giants like Amazon. He highlights the role of community, meaningful living in late capitalism, and explores the intersection of poetry and nonfiction writing in navigating societal changes.

Danny Caine, a poet and bookstore advocate, discusses the future of bookstores in the era of AI, emphasizing community building and social change. He explores the importance of supporting local businesses over online giants like Amazon and shares insights on the human connection in book selling. Caine reflects on poetic influences, Jewish storytelling, and the role of food politics in poetry, highlighting the power of books in promoting learning and understanding for a better world.

“A lot of our work is comparative. We look at background behavior. Is there a burst of new activity? We zoom in on that and ask why that is suddenly appearing and why it didn't appear before. Imagine one day you wake up and you find water in a pot is boiling and you want to understand why water is boiling. If you go at it one molecule at a time, it's not giving you the big picture of what is going on. We've probably all done this: you take milk, stick it in the fridge, too lazy to go to the grocery, so you just leave it there. The 11th day, the milk's gone bad. Why did that happen on the 11th day? What was happening was that all you could see was the kind of macro level, you couldn't see the individual pieces of milk. This is a new area of physics, exactly the same as how shock waves—a wave that builds up so quickly, there's no kind of precursor—appear. Using the data we collect online, we have a tool for making predictions of when we expect shocks to arise and what shape they'll have. So the reason we went for a systems level view is because you can't understand water boiling one molecule at a time.”How can physics help solve messy, real world problems? How can we embrace the possibilities of AI while limiting existential risk and abuse by bad actors?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. https://physics.columbian.gwu.edu/neil-johnson https://donlab.columbian.gwu.eduwww.creativeprocess.infowww.oneplanetpodcast.org IG www.instagram.com/creativeprocesspodcast

How can physics help solve messy, real world problems? How can we embrace the possibilities of AI while limiting existential risk and abuse by bad actors?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.“A lot of our work is comparative. We look at background behavior. Is there a burst of new activity? We zoom in on that and ask why that is suddenly appearing and why it didn't appear before. Imagine one day you wake up and you find water in a pot is boiling and you want to understand why water is boiling. If you go at it one molecule at a time, it's not giving you the big picture of what is going on. We've probably all done this: you take milk, stick it in the fridge, too lazy to go to the grocery, so you just leave it there. The 11th day, the milk's gone bad. Why did that happen on the 11th day? What was happening was that all you could see was the kind of macro level, you couldn't see the individual pieces of milk. This is a new area of physics, exactly the same as how shock waves—a wave that builds up so quickly, there's no kind of precursor—appear. Using the data we collect online, we have a tool for making predictions of when we expect shocks to arise and what shape they'll have. So the reason we went for a systems level view is because you can't understand water boiling one molecule at a time.”https://physics.columbian.gwu.edu/neil-johnsonhttps://donlab.columbian.gwu.eduwww.creativeprocess.infowww.oneplanetpodcast.org IG www.instagram.com/creativeprocesspodcast

Ecology expert Ben Goldfarb discusses road ecology and the negative impact of roads on wildlife mobility. He highlights the challenges of balancing human infrastructure with wildlife conservation efforts, including the use of machine learning for detecting roadkill and the need for environmental restoration and conservation.