Stuart Russell (What to think about machines that think)

Stuart Russell emphasizes the importance of aligning AI systems’ decision-making with human values and explores the following key points: 1. The Primary Goal of AI: The central objective of AI is to create machines capable of making decisions by maximizing expected utility. AI researchers work on algorithms and methods to achieve this goal, focusing on … Read more

Joichi Ito (What to think about machines that think)

Joichi Ito’s perspective on machines that think delves into several intriguing aspects: 1. AI’s Contribution to Society: Ito believes that AI and machine learning will bring significant contributions to society, particularly in areas requiring speed, accuracy, reliability, data processing, and parallel computing. 2. Educational System Paradox: He highlights the paradox of developing increasingly human-like machines … Read more

Nicholas A. Christakis (What to think about machines that think)

Nicholas A. Christakis offers a unique perspective on artificial intelligence (AI) by likening it to human culture. He emphasizes the following points: 1. Culture as Artificial Intelligence: Christakis sees culture as a form of artificial intelligence that exists outside individual minds but is created, shaped, and transmitted by humans. Like AI, culture can solve problems, … Read more

Edward Slingerland (What to think about machines that think)

Edward Slingerland offers a perspective on thinking machines, emphasizing that they are fundamentally different from human beings and should not be feared as existential threats. He presents several key points: 1. AI as Tools: Slingerland views AI systems as tools, not sentient beings. He compares them to advanced screwdrivers, emphasizing that AI lacks desires, emotions, … Read more

Sheizaf Rafaeli (What to think about machines that think)

Sheizaf Rafaeli explores the concept of thinking machines and emphasizes the crucial role of communication in their development. He notes that thinking machines have often been portrayed as both a looming threat and a moving target in human culture. The field of artificial intelligence has continually redefined its goals as developments in technology expanded the … Read more

Tania Lombrozo (What to think about machines that think)

Tania Lombrozo explores how advancements in technology, particularly thinking machines, have shaped our understanding of thinking itself. She begins by highlighting the shift from mechanical machines to digital devices and how this transformation has affected our perception of machines. Lombrozo delves into the question of whether machines can be considered as thinking entities. She points … Read more

Gerd Gigerenzer (What to think about machines that think)

Gerd Gigerenzer explores the potential benefits of using robodoctors (RDs) in healthcare. He begins by highlighting some of the shortcomings in the current healthcare system, particularly in fee-for-service models where doctors have limited time for patients, often lack statistical understanding, and face conflicts of interest. These issues can lead to unnecessary medical tests and treatments, … Read more

Bruce Schneier (What to think about machines that think)

Bruce Schneier explores the complex issue of responsibility and accountability when machines, particularly thinking machines, break the law. He illustrates the problem with an example involving a Random Botnot Shopper, an automated program that purchased items from an anonymous Internet black market for an art project. While most of the purchases were benign, the bot … Read more

Kurt Gray (What to think about machines that think)

Kurt Gray explores the moral implications of thinking machines in the context of destruction and blame. He starts by acknowledging that machines have long been used as tools of destruction, with humans ultimately held morally accountable for their operation. The responsibility falls on the person who wields the machine, whether it’s a gun or a … Read more