What Does It Mean for AI to Be Creative?
Exploring AI's creative potential and its impact on innovation, economics, and education. Discusses implications for human intelligence and progress, reshaping our understanding of creativity.
Avoidance of Traps for Nonconvex Stochastic Optimization and Equilibrium Learning in Games
Explore strategies to overcome challenges in nonconvex stochastic optimization and game theory equilibrium learning, focusing on trap avoidance techniques.
The Future of Generative AI
Explore the potential of generative AI to revolutionize communication, learning, and work. Discuss possibilities, challenges, and societal impacts with AI expert Professor Michael Wooldridge.
Cultivating Kinder, Gentler, and More Democratic AI
Explore the Paul English Applied AI Institute's mission to democratize AI ethically and empower students at UMass Boston, fostering innovation for public good and equal access to AI technologies.
Embedding Fairness into Pricing Algorithms for Vehicle Sharing Systems
Explore fairness in pricing algorithms for vehicle sharing, examining how different fairness notions impact rider surplus and access across various groups and locations.
How to Make AI Work for Business
Explore global entrepreneurship and AI's role in business success with insights from a seasoned expert. Learn strategies for international market expansion and leveraging technology for growth.
AI and Work: How to Avoid Becoming Obsolete in the Age of Artificial Intelligence
Insights on AI's impact on the job market and strategies for humans to thrive in the AI revolution, avoiding economic obsolescence like horses after industrialization.
The Future of Afghanistan with AI
Explore AI's potential to transform Afghanistan's economy, empower businesses, and drive entrepreneurship with insights from experienced entrepreneur Sanzar Kakar.
Scaling Decision-Theoretic Probabilistic Programming Through Factorization
Explore dappl, a new probabilistic programming language for decision-making, offering scalable MEU reasoning and expressive modeling of complex real-world tasks.
Machine Intelligence with Humans in Mind - Ethics in AI Development
Explore computer ethics in the age of machine intelligence, examining responsibilities and actions for tech professionals and users alike.
Information and Decision Theory Explain Neural Pulse Trains - Lecture
Explore information and decision theory's application to neural communication, uncovering insights into pulse trains and channel capacity in the peripheral nervous system.
Retrospective on Multi-Agent Learning as a Path to Intelligence
Explore the potential of multi-agent learning in advancing artificial intelligence, drawing insights from psychology and neuroscience perspectives.
Narrative Economics
Nobel laureate Robert J. Shiller discusses "Narrative Economics," exploring how viral stories and popular ideas can significantly influence economic behavior, markets, and major financial events.
Have Central Banks Created an Asset Bubble
Experts discuss central banks' impact on asset bubbles, monetary policy effectiveness, and global economic challenges in developed economies, exploring risks and potential solutions.
The Truth About Inflation
UBS Chief Economist Paul Donovan explains the causes of high inflation, its calculation methods, and potential solutions, offering insights on global economic trends and government responses.
Neuromarketing - The New Science of Consumer Decisions
Explore how neuroscience, psychology, and economics shape consumer decisions in this insightful talk on neuromarketing by Dr. Terry Wu, a leading expert in the field.
The Museum of the Future - The Museum of the World
Exploring the evolving role of museums in society, from traditional institutions to digital platforms, and their potential to connect global cultures and democratize access to art.
Something Wicked - Defensible Social Architecture in the Context of Big Data, Behavioral Econ, Bot Hives, and Bad Actors
Explore defensible social architecture in the era of big data, behavioral economics, bot hives, and malicious actors with insights on protecting digital ecosystems.
Economic Models II
Explores strategic manipulation, fair decision-making, and affirmative action in economic models. Discusses disparate effects, social costs, and downstream impacts on equality and fairness in algorithmic systems.
Economic Models I
Exploration of fair machine learning through economic models, addressing equality of opportunity, population-level signaling, competitive equilibrium, and fair allocation algorithms.
Price Discrimination with Fairness Constraints
Explore ethical price discrimination strategies that balance profit maximization with fairness considerations, addressing societal concerns in algorithmic pricing.