The Future of Artificial Intelligence
Demystifying AI: its current capabilities, true intelligence, and future prospects. Expert insights on expectations and concerns for near-term and long-term AI developments.
Large Language Models and the Changing Face of Computational Linguistics
Explore the impact of Large Language Models on computational linguistics, discussing their transformative effects and future implications for language processing and understanding.
Stochastic Learning Dynamics and Generalization in Neural Networks
Explore stochastic learning dynamics and generalization in neural networks, uncovering key insights into their behavior and performance in various applications.
Liquid and Solid Brains - Mapping the Cognition Space
Explore the fascinating comparison between liquid and solid brains, delving into cognitive processes and mapping the intricate landscape of cognition with Ricard Solé.
Prediction, Explanation, and Control - From AI to Human Mind
Explore the connections between AI and human cognition, focusing on prediction, explanation, and control mechanisms in both artificial and biological intelligence systems.
Emergence, Self-Organization, and Complexity
Explore the interconnected concepts of emergence, self-organization, and complexity with Carlos Gershenson, gaining insights into how these phenomena shape our world and understanding of systems.
The Ethics of Autonomous Vehicles - Navigating Legal and Ethical Complexities
Exploring the complex ethical, legal, and societal implications of autonomous vehicles beyond the "Trolley Problem," including safety standards, liability, cybersecurity, and regulatory challenges.
The Self-Assembling Horde: Building Functional Structures on the Move
Explore how collective organisms build functional structures while in motion, focusing on self-assembling processes and their applications in various fields of science and engineering.
AI in Art History: Computational Analysis and Interpretation of Fine Art
Exploring AI's potential to revolutionize art history by analyzing light, shadow, and symbolic content in paintings, offering new insights into creation methods and hidden narratives.
Reckoning and Judgment: The Promise of AI
Explore the distinction between AI's calculative "reckoning" and human "judgment," examining the potential and limitations of machine intelligence in ethical decision-making.
The Future of the Economy - Technology Evolution and AI Impact
Exploring technology's evolution through biology, this talk examines how AI reshapes labor and finance, offering insights into designing human systems that align with physical and biological laws.
Fairness in Machine Learning: Tasks, Experiences, and Performance Measures
Explore fairness in machine learning, focusing on risk assessment tasks, data representation challenges, and performance measures. Learn about new findings and alternative approaches to promote equitable AI systems.
Artificial Intelligence: What We Still Don't Know - Melanie Mitchell
Explore AI's challenges, limitations, and future potential with computer scientist Melanie Mitchell. Delve into fundamental questions about intelligence, cognition, and the intersection of technology and human understanding.
Data Art and the Future of Science Communication
Explore data art's role in science communication with Kirell Benzi. Learn how visual representation enhances understanding, bridges disciplines, and shapes the future of scientific dissemination.
The Future of the Economy - Technology Evolution and AI Impact
Exploring technology's evolution through biology, this talk examines how AI reshapes labor and finance, offering insights into designing human systems that align with physical and biological laws.
Ousiometrics and Telegnomics - Measuring Essential Meaning and Remote Knowledge
Explore the study of essential meaning and remotely sensed knowledge through innovative frameworks, examining language patterns, storytelling, and temporal dynamics in various contexts.
Combining Historical and Philosophical Approaches to Understand the Concept of Information in Animal Behavior
Exploring how biologists use "information" in animal studies, examining experimental practices, historical context, and debates to clarify its meaning and implications for comparing animal and machine behavior.
Text-Based Timeline Analysis and New Instruments for the Science of Stories
Exploring Twitter data as a telescope for observing collective human thought, revealing insights into sentiment, narrative power, and social dynamics through innovative text analysis techniques.
Fighting Hate Speech with AI and Social Science
Exploring AI and social science approaches to combat hate speech online, discussing research on classifying hate and counter speech patterns to promote civility in digital spaces.
What Is Feminist Data Science? - Incorporating Feminist Thinking into Data-Driven Research
Explore feminist data science principles and their application in humanities research, including case studies on women's invisible labor, Black activism, and innovative data visualization techniques.
Algorithmic Bias in AI: Implications and Challenges - A Discussion with Cristopher Moore and Melanie Moses
Explore algorithmic bias in AI, its societal impacts, and the quest for transparency in decision-making systems. Delve into facial recognition flaws and implications for algorithmic justice.