- Behind AI Decision-Making, with Francesca Rossi
With artificial intelligence embedded into social media, credit card transactions, GPS, and much more, how can we train it to act in an ethical, fair, and unbiased manner? What are the theories and philosophies behind AI systems? IBM Research's Francesca Rossi discusses her work helping to ensure that the technology is "as beneficial as possible for the widest part of the population."
- Privacy, Surveillance, & the Terrorist Trap, with Tom Parker
How can investigators utilize new technology like facial recognition software while respecting the rights of suspects and the general public? What are the consequences of government overreaction to terrorist threats? Tom Parker, author of "Avoiding the Terrorist Trap," discusses privacy, surveillance, and more in the context of counterterrorism.
- Carnegie New Leaders Podcast: Designing an Ethical Algorithm, with Michael Kearns
How can algorithms be made more "ethical"? How can we design AI to protect against racial and gender biases when it comes to loan applications or policing? UPenn's Professor Michael Kearns, co-author of "The Ethical Algorithm," and Geoff Shaefer, who works on AI issues at Booz Allen Hamilton, discuss these issues and much more.
- The Ethical Algorithm, with Michael Kearns
Over the course of a generation, algorithms have gone from mathematical abstractions to powerful mediators of daily life. They have made our lives more efficient, yet are increasingly encroaching on our basic rights. UPenn's Professor Michael Kearns shares some ideas on how to better embed human principles into machine code without halting the advance of data-driven scientific exploration.
- Making AI Work, Ethically & Responsibly, with Heather M. Roff
Heather M. Roff, senior research analyst at the Johns Hopkins Applied Physics Lab, thinks some researchers are having the wrong conversations about AI. Instead of wondering whether AI will ever be a moral agent, we should be focused on how to program the technology to be "morally safe, right, correct, justifiable." What are some practical uses for AI today? How can it be used responsibly in the military realm?
- AI & Human Rights: The Practical & Philosophical Dimensions, with Mathias Risse
Mathias Risse, director of Harvard Kennedy School's Carr Center for Human Rights Policy, discusses the many connections between artificial intelligence and human rights. From practical applications in the criminal justice system to unanswered philosophical questions about the nature of consciousness, how should we talk about the ethics of this ever-changing technology?
- Eyes in the Sky: The Secret Rise of Gorgon Stare and How It Will Watch Us All, with Arthur Holland Michel
Arthur Holland Michel, founder of the Center for the Study of the Drone, traces the development of the Pentagon's Gorgon Stare, one of the most powerful surveillance technologies ever created. When fused with big-data analysis techniques, this network can be used to watch everything simultaneously, and perhaps even predict attacks before they happen. Can we capitalize on its great promise while avoiding its potential perils?
- Global Ethics Weekly: AI Governance & Ethics, with Wendell Wallach
Wendell Wallach, consultant, ethicist, and scholar at the Yale Interdisciplinary Center for Bioethics, discusses some of the current issues in artificial intelligence (AI), including his push for international governance of the technology. He and host Alex Woodson also speak about Trump's recent executive order, universal basic income, and some of the ethical issues in China concerning AI, including the Social Credit System.
- Control and Responsible Innovation of Artificial Intelligence
Artificial Intelligence's potential for doing good and creating benefits is almost boundless, but equally there is a potential for doing great harm. This panel discusses the findings of a comprehensive three-year project at The Hastings Center, which encompassed safety procedures, engineering approaches, and legal and ethical oversight.
- The Risks and Rewards of Big Data, Algorithms, and Machine Learning, with danah boyd
How do we analyze vast swaths of data and who decides what to collect? For example, big data may help us cure cancer, but the choice of data collected for police work or hiring may have built-in biases, explains danah boyd. "All the technology is trying to do is say, 'What can we find of good qualities in the past and try to amplify them in the future?' It's always trying to amplify the past. So when the past is flawed, it will amplify that."
- The Pros, Cons, and Ethical Dilemmas of Artificial Intelligence
From driverless cars to lethal autonomous weapons, artificial intelligence will soon confront societies with new and complex ethical challenges. What's more, by 2034, 47 percent of U.S. jobs, 69 percent of Chinese jobs, and 75 percent of Indian jobs could all be done by machines. How should societies cope and what role should global governance play?
- The Industries of the Future
Driverless cars, designer babies, crypto currencies, cyber warfare, pervasive "sousveillance" that erodes our privacy, often with our consent--what are the upsides and downsides of this brave new world? Alec Ross, who is neither a utopian nor a dystopian, expertly guides us through it.