In this engaging talk, computer scientist Yejin Choi explores the dual nature of artificial intelligence, showcasing both its impressive capabilities and its hilarious failures in common sense reasoning. She advocates for transitioning to smaller, safer AI systems grounded in human values, arguing that blindly expanding models won't address key challenges. Choi also highlights the importance of diverse data and innovative learning algorithms to foster ethical reasoning. Her insights spark a fascinating discussion about the future direction of AI technology.

Yejin Choi, a preeminent computer scientist at the University of Washington and expert in AI, dives deep into the capabilities of large language models like ChatGPT. She discusses how these models learn and reason differently from humans, raising questions about their understanding of reality. The conversation explores the challenges of AI's predictive abilities, the complexities of aligning AI with human values, and the implications of misinformation. Choi highlights the stark differences between human creativity and AI's limitations, emphasizing the need for improved AI literacy.

Computer science professor and AI expert Yejin Choi discusses training language models, the challenges of robots picking tools, and the role of universities in AI research.

There are two sides to every coin — and sometimes our strengths become weaknesses. This hour, TED speakers explore the mixed blessings and volatile flip sides of mental health, parenting and AI. Guests include developmental psychologist Yuko Munakata, entrepreneur Andy Dunn and AI researcher Yejin Choi. TED Radio Hour+ subscribers now get access to bonus episodes, with more ideas from TED speakers and a behind the scenes look with our producers. A Plus subscription also lets you listen to regular episodes (like this one!) without sponsors. Sign-up at plus.npr.org/ted.Learn more about sponsor message choices: podcastchoices.com/adchoicesNPR Privacy Policy

Yejin Choi, a computer science professor at the University of Washington and MacArthur Fellowship recipient, dives into the intriguing world of AI and common sense. She discusses her journey from software engineering to pioneering research in natural language processing. The conversation highlights the challenges of teaching AI human-like common sense, illustrated by amusing misidentifications. Innovative techniques, like the Atomic knowledge graph, aim to enhance AI's understanding of language. Choi emphasizes the exciting intersection of technology and humanities in shaping AI's future.

Yejin Choi joins Host Pieter Abbeel to discuss how we can teach AI common sense and morality and what ChatGPT can't do yet.Subscribe to the Robot Brains Podcast today | Visit therobotbrains.ai and follow us on YouTube at TheRobotBrainsPodcast and Twitter @therobotbrains. Hosted on Acast. See acast.com/privacy for more information.

Computer scientist Yejin Choi is here to demystify the current state of massive artificial intelligence systems like ChatGPT, highlighting three key problems with cutting-edge large language models (including some funny instances of them failing at basic commonsense reasoning.) She welcomes us into a new era in which AI is becoming almost like a new intellectual species -- and identifies the benefits of building smaller AI systems trained on human norms and values. (Followed by a Q&A with head of TED Chris Anderson) Hosted on Acast. See acast.com/privacy for more information.

Yejin Choi, chair of computer science at the University of Washington, dives into the quirks of AI and common sense. She describes common sense as the 'dark matter' of intelligence, discussing the humorous blind spots of language models like ChatGPT. The conversation expands on the need for enhancing AI with human-like qualities, the limitations of its understanding compared to humans, and the role of interdisciplinary research in comprehending intelligence. Choi also highlights the emotional essence of scientific inquiry and the joy in exploring these technological frontiers.

Computer scientist Yejin Choi discusses the limitations and funny fails of AI in common-sense reasoning. She explores the benefits of training AI on human norms and values. The podcast delves into the power, pitfalls, and ethical dilemmas of AI, suggesting ways to democratize and humanize it. Innovative solutions like Paycom's Betty and Zbiotics are also highlighted.

Yejin Choi, a professor at the University of Washington, dives into the fascinating world of common sense reasoning and its role in natural language processing. She shares insights from her recent keynote at the Stanford HAI workshop, discussing how AI can enhance creative storytelling and the challenges in achieving human-like reasoning. Topics include the evolution of knowledge graphs, the intersection of common sense and narrative, and the importance of integrating knowledge in AI. Yejin also challenges conventional views on AI scalability in the quest for Artificial General Intelligence.