Ethics - FSDL 2022
Explore ethical challenges in ML-powered products, from tech industry crises to AI rights. Learn about fairness, accountability, data ownership, and responsible development in machine learning.
How Can Machines Learn Human Values? - With Brian Christian
Exploring challenges in AI ethics, including data bias, fairness, and value alignment. Discusses innovative solutions for building more robust and ethically-aligned machine learning systems.
AI and Artificially Enhanced Brains - With Susan Schneider
Exploring the philosophical and ethical implications of merging human brains with AI, including consciousness in robots, mind-machine interfaces, and the future of human intelligence.
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.
Trustworthy Machine Learning: Challenges and Frameworks
Exploring the security challenges in machine learning, this talk discusses strategies for building trustworthy AI systems by analyzing data influence, addressing vulnerabilities, and enhancing interpretability.
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.
Approximately Stable Committee Selection
Explore committee selection methods, focusing on fairness, stability, and approximation algorithms. Learn about preference models, participatory budgeting, and innovative approaches to achieve balanced representation.
AI in the Exam Room - Ethical Concerns of DNA Collection and Usage
Explore the ethical implications of AI and biometric data in healthcare and beyond. Discover who has access to your genetic information and why it matters for privacy and security.
Ethics - Full Stack Deep Learning - Spring 2021
Explore AI ethics, covering long-term challenges, hiring practices, fairness, representation, and best practices. Gain insights into crucial ethical considerations for AI development and implementation.
AI and Shared Prosperity
Exploring AI's role in promoting shared prosperity, addressing sociotechnical challenges, and fostering equality in technology benefits and risks across society.
Responsible AI Dashboard - A Tool for Operationalizing Responsible AI
Explore Microsoft's Responsible AI Dashboard, an open-source framework integrating tools for error analysis, interpretability, fairness, and causal decision-making to build reliable and responsible AI products.
Emotions and Technology - The Impact of AI on Human Interaction and Mental Health
Explore the intersection of emotions and technology, including AI emotion recognition, mental health applications, and the impact of digital communication on social connections.
Wicked Problem: AI and the Future of Everything - Challenges and Opportunities
Explore the complex challenges and potential of AI's rapid growth, including regulation, societal risks, and its impact on various sectors, with insights from leading experts.
Intelligent Machines for Smarter Social Policies - Tackling Inequality and Mass Incarceration
Explore how AI and machine learning can revolutionize social policy, addressing issues like inequality and mass incarceration, with insights from Harvard economist Sendhil Mulanthainan.
Dealing with Privacy, Bias and Drift in Synthetic Primary Care Data
Explore synthetic healthcare data generation, addressing privacy concerns, bias detection, and concept drift in evolving medical datasets for improved research and policy-making.
Nature Reviews Physics - Science in the Age of Large Language Models
Explore the impact of Large Language Models on scientific research and publishing, discussing challenges, opportunities, and future implications for the field.
Simulating Apache Mesos Framework - Insights from Cook Scheduler Testing
Explore Apache Mesos framework simulation for testing algorithm changes, uncovering bugs, and improving system performance without running the entire distributed system.
Enhancing Human Capability with Intelligent Machine Teammates
Exploring human-machine collaboration to improve performance in complex tasks. Research on computational models enabling machines to understand human teammates and enhance capabilities in various fields.
Iron Man or Ultron: Is AI Here to Help Us or Hurt Us? - Exploring the Future of Artificial Intelligence
Exploring AI's potential and risks, Scott Hanselman discusses ethical challenges, social impacts, and the future of human-AI interaction, drawing parallels with Marvel characters to illustrate different AI scenarios.
Towards Natural Artificial Intelligence
Explore the Amorphocene: a future where AI and nature converge. Discover how ethical AI practices can create a sustainable, interconnected world, reimagining our relationship with technology and the environment.
Artificial Intelligence - Fuelling Ethical Innovation
Explore ethical AI innovation's potential for positive societal impact with insights from a dynamic professional experienced in leadership, strategy, and technology entrepreneurship.