Shows
Informatics in the RoundThat's a Wrap! Celebrating Five Years of Informatics in the RoundWell, here we are—the final episode of Informatics in the Round (we think!). After five incredible years, 38 episodes, and thousands of listeners, we’ve decided it’s time to wrap up this journey. But first, we’re taking a minute (or maybe two hours) to reflect on this wild ride—and we’ve brought some people you might recognize!
In this episode, we pull some clips from the archive to help us look back at our best moments, favorite topics, and silliest slip-ups over the years. We take you through our “Top 5” topics that we loved to talk about th...2025-03-142h 02
The CIS 5210 PodcastCIS 5210 - Module 8 - Reinforcement LearningThis episode explores reinforcement learning and its relationship to MDPs. Also mentioned: exploration v. exploitation, multi-arm bandits, model-free learning, q-learning.
Disclosure: This episode was generated using NotebookLM by uploading Professor Chris Callison-Burch's lecture notes and slides.
2024-10-2214 minThe CIS 5210 PodcastCIS 5210 - Module 7 - Markov Decision ProcessesThis episode explores MDPs, covering stochastic environments, transition functions, reward functions, policies, value iteration, policy iteration, expected utility, finite vs. infinite horizons, discount factors, etc.
Disclosure: This episode was generated using NotebookLM by uploading Professor Chris Callison-Burch's lecture notes and slides.
2024-10-0516 minThe CIS 5210 PodcastCIS 5210 - Module 6 - Knowledge-Based Agents and Logical ReasoningThis episode explores knowledge-based agents in AI, covering knowledge bases, inference, propositional logic, theorem proving, logical equivalence, resolution, conjunctive normal form (CNF), proof by contradiction, and distributed knowledge representation and reasoning.
Disclosure: This episode was generated using NotebookLM by uploading Professor Chris Callison-Burch's lecture notes and slides.
2024-09-2913 minThe CIS 5210 PodcastCIS 5210 - Module 5 - CSPsThis episode explores constraint satisfaction problems (CSPs), covering variables, domains, constraints, backtracking search, heuristics, forward checking, constraint propagation, and arc consistency.
Disclosure: This episode was generated using NotebookLM by uploading Professor Chris Callison-Burch's lecture notes and slides.
2024-09-2911 minThe CIS 5210 PodcastCIS 5210 - Module 4 - Adversarial SearchThis episode explores adversarial search in game-playing AI, covering game formulation, minimax, game trees, evaluation functions, alpha-beta pruning and expectimax.
Disclosure: This episode was generated using NotebookLM by uploading Professor Chris Callison-Burch's lecture notes and slides.
2024-09-2910 minThe CIS 5210 PodcastCIS 5210 - Module 3 - Informed SearchThis episode explores informed search algorithms in AI, focusing on A* search. Key topics include: Importance of heuristics in guiding searches, and the role of admissible heuristics and in optimal solutions.
Disclosure: This episode was generated using NotebookLM by uploading Professor Chris Callison-Burch's lecture notes and slides.
2024-09-2912 minThe CIS 5210 PodcastCIS 5210 - Module 2 - Uninformed SearchThis episode explores uninformed search algorithms like BFS, DFS, and iterative deepening search.
Disclosure: This episode was generated using NotebookLM.
2024-09-2912 minThe CIS 5210 PodcastCIS 5210 - Module 1 - Rational AgentsThis episode explores rational agents in AI, covering:
Philosophical foundations
Historical context
Task environments
Disclosure: This episode was generated using NotebookLM.
2024-09-2819 minInformatics in the RoundChatbots in Healthcare: The Ultimate Turing TestLive from the studio, it's Informatics in the Round! Okay, we aren't technically live, but we are bringing you an extra special episode from the Penn Engineering Online studio! Since all our guests are from the University of Pennsylvania, we thought we would sit down in-person to enjoy this lively discussion. Today we are talking all about chatbots and the future of generative AI in medicine. We discuss topics such as what chatbots are, whether they present the markers of true artificial intelligence, what innovations we are looking forward to, and the benefits and barriers to integrating them into...2024-08-281h 18
AIs Wide Open PodcastAIs Wide Open Most Popular: Chris Callison-Burch (Associate Professor, Penn Engineering) - Fair Use in AI: Exploring Copyright ChallengesThe line between human creativity and machine intelligence is blurring. LLMs can now churn out poems, code, and even news articles, raising a burning question: who owns the words?
Rohan, Shayne, and Chris speak about the fast-changing AI x copyright landscape.
They discuss questions such as:
- Can using copyrighted material to train LLMs be considered fair use, or does it cross the line into infringement?
- When AI creates, who gets the credit?
- Can AI-generated data bypass copyright restrictions?
They also talk about the challenges of defining authorship in the age of AI, and how copyright law will...2024-05-141h 01
Innovation & ImpactExploring AI in EngineeringThis episode of Innovation & Impact celebrates AI Month at Penn. Susan Davidson, Weiss Professor, Computer and Information Science (CIS) returns as host to discuss how AI is accelerating discovery in fields such as Bioengineering and Computing while also bringing unexpected new challenges in areas such as security.Guests this month are Cesar De La Fuente, Presidential Assistant Professor, Bioengineering; Surbhi Goel, Magerman, Term Assistant Professor, CIS; and Chris Callison-Burch, Associate Professor, CIS.Follow Penn Engineering:https://www.youtube.com/@pennengineeringhttps://www.instagram.com/pennengineeringhttps://www...2024-04-2348 min
AIs Wide Open PodcastS2 E4 Chris Callison-Burch (Associate Professor, Penn Engineering) - Fair Use in AI: Exploring Copyright ChallengesThe line between human creativity and machine intelligence is blurring. LLMs can now churn out poems, code, and even news articles, raising a burning question: who owns the words?
Rohan, Shayne, and Chris speak about the fast-changing AI x copyright landscape.
They discuss questions such as:
- Can using copyrighted material to train LLMs be considered fair use, or does it cross the line into infringement?
- When AI creates, who gets the credit?
- Can AI-generated data bypass copyright restrictions?
They also talk about the challenges of defining authorship in the age of AI, and how copyright law will...2024-02-191h 01
NLP Highlights140 - Generative AI and Copyright, with Chris Callison-BurchIn this special episode, we chatted with Chris Callison-Burch about his testimony in the recent U.S. Congress Hearing on the Interoperability of AI and Copyright Law. We started by asking Chris about the purpose and the structure of this hearing. Then we talked about the ongoing discussion on how the copyright law is applicable to content generated by AI systems, the potential risks generative AI poses to artists, and Chris’ take on all of this. We end the episode with a recording of Chris’ opening statement at the hearing.2023-06-0651 min
Innovation & ImpactThe Growth and Impact of Generative AIOn the the premiere episode of "Innovation & Impact," Michael Kearns, National Center Professor of Management & Technology in Computer and Information Science (CIS), Chris Callison-Burch, Associate Professor in CIS, and Robert Ghrist, Andrea Mitchell University Professor in Electrical and Systems Engineering discuss the growth and impact of generative AI. Susan Davidson, Weiss Professor in Computer and Information Science, serves as panel moderator. Hosted on Acast. See acast.com/privacy for more information.2023-05-2639 min