Reinforcement Learning
Explore reinforcement learning concepts and their applications in psychology and neuroscience. Hands-on exercises demonstrate how algorithms explain animal learning and dopamine neuron firing.
Demis Hassabis: Towards General Artificial Intelligence
Explore cutting-edge AI research with DeepMind's CEO, covering breakthroughs like AlphaGo and potential impacts on science and healthcare. Gain insights into AI's future and its implications for understanding human cognition.
Aïda Elamrani - Inputs, Outputs, and Meta-Models
Explore inputs, outputs, and meta-models in consciousness science, examining a unifying framework to compare diverse theories and bridge the mind-matter divide.
Inclusive Search and Recommendations
Explore inclusive AI in personalized discovery systems, focusing on fairness, diversity, and privacy. Learn strategies for reducing bias and implementing responsible AI in search and recommendation algorithms.
Face Recognition and Privacy: Balancing Technology and Personal Rights - 2019
Exploring face recognition technology, its applications, privacy implications, and global legislation. Dispels myths and discusses potential for privacy-preserving implementations of this identification method.
Human Computer Integration versus Powerful Tools
Experts debate the future of human-computer relationships, exploring symbiosis, integration, and powerful tools. Discusses implications for design, research, and society in this thought-provoking panel.
IoT Security Risks - A Cybercriminal's Paradise
Explore IoT vulnerabilities, malware threats, and attack scenarios in this talk. Learn about risks to home and corporate users, and discover recommendations for better protection against these dangerous attacks.
Coding as a Developmental Playground
Explore computational thinking and robotics in early childhood education, focusing on coding as a new literacy and developmental tool for young children's creativity and self-expression.
The AI Economist - Improving Equality and Productivity with AI-Driven Tax Policies
Explore AI-driven tax policies that balance equality and productivity through reinforcement learning, revealing emergent strategies and outperforming traditional economic models in simulations and human experiments.
Reinforcement Learning, Fast and Slow
Explores recent advancements in deep reinforcement learning, discussing techniques for faster learning and their potential implications for cognitive science and neuroscience.
What Public Interest AI Auditors Can Learn from Security Testing - Legislative and Practical Wins
Exploring legal and practical strategies for AI auditors to overcome barriers in testing algorithmic bias, drawing lessons from security testing practices and advocating for policy changes.
When the Magic Wears Off - Flaws in Machine Learning for Security Evaluations
Explores biases in machine learning for malware classification, proposing constraints and metrics for realistic evaluation. Introduces TESSERACT framework to improve classifier performance and ensure fair comparisons.
Moderating End-to-End Encrypted Content - Balancing Privacy and Control
Exploring end-to-end encryption challenges, balancing privacy with content moderation needs. Proposes user-centric definitions and analyzes improvement strategies to maintain security while enhancing user experience.
Encrypted Messaging: Current Challenges and Future Implications
Expert panel explores the history, current state, and global implications of encryption debates, discussing potential solutions and mitigations for preserving digital privacy and security.
Closed for Business - Taking Down Darknet Markets - John Shier
Explore the fascinating takedown of major darknet markets, including AlphaBay and Hansa, in this talk on international law enforcement operations, deception, and cybercrime investigations.
Glimpsing Our AI Future - Howard Covington, The Alan Turing Institute
Explore AI's impact on industries, economies, and society with insights on technological advancements, global competition, and ethical considerations in this forward-looking talk.
Artificial Intelligence and Society - In Conversation With Jeff Sachs
Exploring AI's societal impact, Jeff Sachs discusses potential utopian and dystopian outcomes, emphasizing the importance of governance in shaping the future of technology and its effects on work, wealth, and privacy.
Turing Lecture - AI Through the Looking Glass
AI's societal impact: opportunities, challenges, and ethical considerations. Explores job automation, socio-technical approaches, and UK's positioning in AI evolution. Emphasizes unexpected outcomes and the need for diverse perspectives.
Making Sense of Mobile Network Traffic Using Deep Learning - Paul Patras, Edinburgh
Explore deep learning techniques for analyzing mobile network traffic, enhancing urban data interpretation and smart city development.
Neural Opinion Dynamics Model for the Prediction of User-Level Stance Dynamics - Yulan He, Warwick
Explore neural opinion dynamics for predicting user stance shifts in digital democracy platforms, enhancing citizen engagement and policy-making through machine learning techniques.
Spotify - Personalising the Listening Experience - Mounia Lalmas
Explore Spotify's approach to personalizing music recommendations using machine learning, focusing on user intents, relevance, diversity, and satisfaction to enhance the listening experience.