Ethical Machines

We want accurate AI, right? As long as it’s accurate, we’re all good? My guest, Will Landecker, CEO Accountable Algorithm, explains why accuracy is just one metric among many to aim for. In fact, we have to make tradeoffs across things like accuracy, relevance, and normative (including ethical) considerations in order to get a usable model. We also cover whether explainability is important and whether it’s even on the menu and the ...

The Silicon Valley titans talk a lot about intelligence and super intelligence of AI…but what is intelligence, anyway? My guest, former philosopher professor and now Director at Gartner Philip Walsh argues the SV folks are fundamentally confused about what intelligence is. It’s not, he argues, like horsepower, which can be objectively measured. Instead, whether we ascribe intelligence to something is a matter of what we communally ...

Tech companies are racing to build and sell agentic. The vision is one in which countless AI agents are acting on our behalf: searching the web, making transactions, interacting with other AI agents. But my guest Avijit Ghosh, Applied Policy Researcher at Hugging Face, explains why we’re not even close to having the appropriate safeguards in place. What are the massive gaps and what would it take to close them? That’s the topic of ...

We often defer to the judgment of experts. I usually defer to my doctor’s judgment when he diagnoses me, I defer to quantum physicists when they talk to me about string theory, etc. I don’t say “well, that’s interesting, I’ll take it under advisement” and then form my own beliefs. Any beliefs I have on those fronts I replace with their beliefs. But what if an AI “knows” more than us? It is an authority in the field in which we’re q...

Are claims about AI destroying humanity just more AI hype we should ignore? My guests today, Risto Uuk and Torben Swoboda assess three popular arguments for why we should dismiss them and focus solely on the AI risks that are here today. But they find each argument flawed, arguing that, unless some fourth powerful argument comes along, we should devote resources to identifying and avoiding potential existential risks to humanity po...

I have to admit, AI can do some amazing things. More specifically, it looks like it can perform some impressive intellectual feats. But is it actually intelligent? Does it understand? Or is it just really good at statistics? This and more in my conversation with Lisa Titus, former professor of philosophy at the University of Denver and now AI Policy Manager at Meta. Originally aired in season one.

People want AI developed ethically, but is there actually a business case for it? The answer better be yes since, after all, it’s businesses that are developing AI in the first place. Today I talk with Dennis Hirsch, Professor of Law and Computer Science at Ohio State University, who is conducting empirical research on this topic. He argues that AI ethics - or as he prefers to call it, Responsible AI - delivers a lot of bottom line...

Automation is great, right? It speeds up what needs to get done. But is that always a good thing? What about in the process of scientific discovery? Yes, AI can automate a lot of science by running thousands of virtual experiments and generating results - but is something lost in the process? My guest, Ramón Alvarado a professor of philosophy and a member of the Philosophy and Data Science Initiative at the University of Oregon, th...

Behind all those algorithms are the people who create them and embed them into our lives. How did they get that power? What should they do with it? What are their responsibilities? This and more with my guest Chris Wiggins, Chief Data Scientist at the New York Times, Associate Professor of Applied Mathematics at Columbia University, and author of the book “How Data Happened: A History from the Age of Reason to the Age of Algorithms...

People in the AI safety community are laboring under an illusion, perhaps even a self-deception, my guest argues. They think they can align AI with our values and control it so that the worst doesn’t happen. But that’s impossible. We can never know how AI will act in the wild any more than we can know how our children will act once they leave the house. Thus, we should never give more control to an AI than we would give an individu...

Developers are constantly testing how online users react to their designs. Will they stay longer on the site because of this shade of blue? Will they get depressed if we show them depressing social media posts? What happens if we intentionally mismatch people on our dating website? When it comes to shades of blue, perhaps that’s not a big deal. But when it comes to mental health and deceiving people? Now we’re in ethically choppy w...

There’s a picture in our heads that’s overly simplistic and the result is not thinking clearly about AI risks. Our simplistic picture is that a team develops AI and then it gets used. The truth, the more complex picture, is that 1000 hands touch that AI before it ever becomes a product. This means that risk identification and mitigation is spread across a very complex supply chain. My guest, Jason Stanley, is at the forefront...

From the best of season 1: Microsoft recently announced an (alleged!) breakthrough in quantum computing. But what in the world is quantum computer, what can they do, and what are the potential ethical implications of this new powerful tech?

Brian and I discuss these issues and more. And don’t worry! No knowledge of physics required.

Every specialist in anything thinks they should have a seat at the AI ethics table. I’m usually skeptical. But psychologist Madeline Reinecke, Ph.D. did a great job defending her view that – you guessed it – psychologists should have a seat at the AI ethics table. 

Our conversation ranged from the role of psychologists in creating AI that supports healthy human relationships to when children start and stop attributing sentience to r...