Artificial Intelligence and Machine Learning

As artificial intelligence evolves and strains the bounds of copyright and other areas of the law, a creative legal approach can strike the proper balance between regulating and encouraging this new technology.

Including union perspectives in research and development is essential to building effective, equitable technology and public trust.

Lav Varshney is an associate professor at the University of Illinois Urbana-Champaign and served as a White House Fellow from 2022-2023. He describes the day-to-day experience of working at the White House, gaps in the innovation system that science policy can help fill, and how making artificial intelligence systems more transparent could define the future of AI applications.

Eric Trump reviews a new translation of the classic Czech play that introduced the word “robot,” along with newly commissioned essays about the play.

Josh Trapani reviews “a work of fiction based on fact,” by Benjamín Labatut, about the life of John von Neumann.

Carl Mitcham and Lukas Fuchs review a recent book by Mustafa Suleyman about the implications of artificial intelligence and what policy tools could help make the technology socially beneficial.

The artists, architects, data scientists, and researchers of the Refik Anadol Studio envision generative reality as a fusion of technology and art, where artificial intelligence is used to create immersive environments.

Artificial intelligence can exacerbate social problems, but it can also be used to solve them. AI designers and regulators should seek out partnerships with struggling communities, to learn what they need from this emerging technology and build it.

Advances in artificial intelligence are accelerating scientific discoveries and analyses, while at the same time challenging core norms and values in the conduct of science, including accountability, transparency, replicability, and human responsibility—difficulties that are particularly apparent in recent advances in generative AI.

Artificial intelligence needs ongoing and meaningful democratic oversight. Understanding the history of how the early nuclear weapons complex, novel biotechnology, and polygraph testing were managed can inform AI governance today.

Patterns are emerging in the various efforts to regulate artificial intelligence around the globe. Understanding these evolving AI norms could help govern this technology intelligently.

Artificial intelligence researchers regularly conduct social experiments relying on data from participants who haven’t agreed to take part. To earn public trust, researchers need to reorient computational research toward respect for human rights by adopting a robust AI ethics protocol.