Example input
Area of Expertise: Artificial Intelligence
Podcast Theme: AI Ethics and Its Impact on Society
Background: AI researchers, ethicists, or leaders in the field
Example output
Dr. Timnit Gebru:
Qualifications: Dr. Gebru is a well-known AI researcher and ethicist who co-founded the Black in AI organization. She has a background in computer vision and has conducted extensive research on AI ethics and bias.
Why she would be a good fit: With her experience in AI ethics, Dr. Gebru can provide valuable insights into the societal implications of AI and discuss ways to mitigate bias and discrimination in AI systems.
Kate Crawford:
Qualifications: Kate Crawford is a senior principal researcher at Microsoft Research, a visiting professor at MIT, and the co-founder of the AI Now Institute. She has written extensively on the social implications of AI and data technologies.
Why she would be a good fit: Crawford's research on AI ethics and the impact of AI on society aligns well with the podcast's theme, and her experience in the field will offer valuable perspectives for the audience.
Dr. Wendell Wallach:
Qualifications: Dr. Wallach is a scholar at Yale University's Interdisciplinary Center for Bioethics, specializing in the ethical and governance concerns of emerging technologies. He has written several books on AI ethics, including "Moral Machines."
Why he would be a good fit: As an expert in AI ethics, Dr. Wallach can delve into the ethical considerations surrounding AI and its impact on society, providing thought-provoking discussions for the podcast's audience.
Joy Buolamwini:
Qualifications: Joy Buolamwini is a computer scientist and the founder of the Algorithmic Justice League, an organization that works to create more equitable and accountable AI systems. She is also known for her research on algorithmic bias in facial recognition technology.
Why she would be a good fit: Buolamwini's experience in exposing AI biases and advocating for algorithmic justice makes her an ideal guest to discuss the ethical implications of AI and the importance of ensuring fairness and accountability in AI systems.
Dr. Ryan Calo:
Qualifications: Dr. Calo is an associate professor of law at the University of Washington, where he teaches and researches the intersection of law and emerging technologies, including AI and robotics. He has written extensively on AI ethics and policy.
Why he would be a good fit: Dr. Calo's expertise in AI policy and legal issues surrounding AI technologies can provide a unique perspective on the societal impact of AI, and his ability to translate complex legal concepts for a general audience makes him an engaging guest.