In episode 68 of The Gradient Podcast, Daniel Bashir speaks to Professor Joanna Bryson.Professor Bryson is Professor of Ethics and Technology at the Hertie School, where her research focuses on the impact of technology on human cooperation and AI/ICT governance. Professor Bryson has advised companies, governments, transnational agencies, and NGOs, particularly in AI policy. She is one of the few people doing this sort of work who actually has a PhD and work experience in AI, but also advanced degrees in the social sciences. She started her academic career though in the liberal arts, and publishes regularly in the natural sciences.Have suggestions for future podcast guests (or other feedback)? Let us know here!Subscribe to The Gradient Podcast:  Apple Podcasts  | Spotify | Pocket Casts | RSSFollow The Gradient on TwitterOutline:* (00:00) Intro* (01:35) Intro to Professor Bryson’s work* (06:37) Shifts in backgrounds expected of AI PhDs/researchers* (09:40) Masters’ degree in Edinburgh, Behavior-Based AI* (11:00) PhD, differences between MIT’s engineering focus and Edinburgh, systems engineering + AI* (16:15) Comments on ways you can make contributions in AI* (18:45) When definitions of “intelligence” are important* (24:23) Non- and proto-linguistic aspects of intelligence, arguments about text as a description of human experience* (31:45) Cognitive leaps in interacting with language models* (37:00) Feelings of affiliation for robots, phenomenological experience in humans and (not) in AI systems* (42:00) Language models and technological systems as cultural artifacts, expressing agency through machines* (44:15) Capabilities development and moral patient status in AI systems* (51:20) Prof. Bryson’s perspectives on recent AI regulation* (1:00:55) Responsibility and recourse, Uber self-driving crash* (1:07:30) “Preparing for AGI,” “Living with AGI,” how to respond to recent AI developments* (1:12:18) OutroLinks:* Professor Bryson’s homepage and Twitter* Papers* Systems AI* Behavior Oriented Design, action selection, key differences in methodology/views between systems AI researchers and e.g. connectionists* Agent architecture as object oriented design (1998)* Intelligence by design: Principles of modularity and coordination for engineering complex adaptive agents (2001)* Cognition* Age-Related Inhibition and Learning Effects: Evidence from Transitive Performance (2013)* Primate Errors in Transitive ‘Inference’: A Two-Tier Learning Model (2007)* Skill Acquisition Through Program-Level Imitation in a Real-Time Domain* Agent-Based Models as Scientific Methodology: A Case Study Analysing Primate Social Behaviour (2008, 2011)* Social learning in a non-social reptile (Geochelone carbonaria) (2010)* Understanding and Addressing Cultural Variation in Costly Antisocial Punishment (2014)* Polarization Under Rising Inequality and Economic Decline (2020)* Semantics derived automatically from language corpora contain human-like biases (2017)* Evolutionary Psychology and Artificial Intelligence: The Impact of Artificial Intelligence on Human Behaviour (2020)* Ethics/Policy* Robots should be slaves (2010)* Standardizing Ethical Design for Artificial Intelligence and Autonomous Systems (2017)* Of, For, and By the People: The Legal Lacuna of Synthetic Persons (2017)* Patiency is not a virtue: the design of intelligent systems and systems of ethics (2018)* Other writing* Reflections on the EU’s AI Act* Is There an AI Cold War?* Living with AGI* One Day, AI Will Seem as Human as Anyone. What Then? Get full access to The Gradient at thegradientpub.substack.com/subscribe

Leading expert on AI governance, Joanna Bryson, discusses the concept of intelligence and AI, the benefits and dangers of developing AI, and the challenge of explainability in AI systems.

What do memes really mean? Listen to find out!Looking for a link we mentioned? It's here: https://linktr.ee/philosophyforourtimesMemes are everywhere. But the term was coined only a few decades ago by Richard Dawkins to describe ideas and cultural behaviour that can be passed on from one individual to another. He argued that memes are a stage in evolution, and just as humans are carriers for genes, we are also carriers for memes. We don't so much choose our memes as they choose us. Its critics however argue that meme theory upends all human agency and thought. Is meme theory an exciting new framework that moves evolution forward to account for concepts and culture? Or is the very idea of a meme a misguided and reductionist account of what it is to be human?  Post-postmodern philosopher Hilary Lawson, Professor of Ethics and Technology at Hertie School Joanna Bryson and Professor of Philosophy at City College of New York Massimo Pigliucci discuss whether or not it is useful to think about sharing mimetic information like genetic information. Gunes Taylor hosts.There are thousands of big ideas to discover at IAI.tv – videos, articles, and courses waiting for you to explore. Find out more: https://iai.tv/podcast-offers?utm_source=podcast&utm_medium=shownotes&utm_campaign=Memes-all-the-way-downSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Joanna Bryson discusses her transition from natural science to AI ethics, exploring societal changes with advancing intelligence. She delves into defining ethics and morality, highlighting the importance of identity and group dynamics. The complexity of ethical principles in AI governance, human rights incorporation, and the impact of geographic location on governance coordination are also explored.

Joanna Bryson, Hertie School's Professor, discusses the convergence of computational, cognitive, and behavioral sciences in AI development. The podcast explores ethical dimensions, societal impacts, responsible AI design, and governance trends in tech companies. Bryson emphasizes the importance of understanding the cognitive aspects of AI to navigate its societal implications.