Published May 19, 2022

Yejin Choi: Teaching Machines Common Sense and Morality

Dive into the evolving landscape of NLP with Yejin Choi as she unravels the complexities of teaching machines common sense and morality, examining the transformative role of algorithms and the ethical challenges of embedding cultural nuances into AI systems.

Episode Highlights

Topics covered

Episode Highlights

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Yejin Choi: Teaching Machines Common Sense and Morality

Topics covered

Popular Clips

Ethical AI Measurement

Algorithmic Inference

Improving Common Sense Inference

Common Sense Challenges

Measuring Common Sense

Abductive Reasoning

Exploring AI's Intriguing Origins

Constructing Moral Labels

Exploring Yejin Choi's Work

Common Sense Intelligence

AI Policy and Cultural Norms

Evaluating Common Sense Intelligence

Common Sense Limitations

Common Sense Models

Episode Highlights

NLP and its Evolution

Common Sense Reasoning

Moral Reasoning in AI

Related Episodes

Eric Jang on Robots Learning at Google and Generalization via Language

Joanna Bryson: The Problems of Cognition

Kyunghyun Cho: Neural Machine Translation, Language, and Doing Good Science

Kanjun Qiu and Josh Albrecht: Generally Intelligent

Manuel & Lenore Blum: The Conscious Turing Machine

Eric Jang: AI is Good For You

Joon Park: Generative Agents and Human-Computer Interaction

Terry Winograd: AI, HCI, Language, and Cognition

François Chollet: Keras and Measures of Intelligence

Seth Lazar: Normative Philosophy of Computing

Been Kim: Interpretable Machine Learning

Sewon Min: The Science of Natural Language

Melanie Mitchell: Abstraction and Analogy in AI

Linus Lee: At the Boundary of Machine and Mind

Ben Green: "Tech for Social Good" Needs to Do More

Yejin Choi: Teaching Machines Common Sense and Morality

Topics covered

Popular Clips

Episode Highlights

NLP and its EvolutionYejin Choi, a professor of Computer Science, discusses the evolution and challenges of natural language processing (NLP). She highlights the transition from traditional linguistic models to deep learning and the role of algorithms in enhancing model capabilities.

NLP and its Evolution

Common Sense ReasoningYejin Choi explores the complexities of teaching machines common sense and the ethical implications of AI systems. She discusses the challenges in developing models that can accurately infer unspoken rules and the potential applications and concerns surrounding their use.

Common Sense Reasoning

Moral Reasoning in AIYejin Choi explores the complexities of evaluating AI systems for moral judgment and the ethical challenges they present. She emphasizes the importance of responsible AI development and the need for systems that reflect diverse cultural norms.

Moral Reasoning in AI

Related Episodes