Dodging AI Dystopia - You Can't Save the World Alone
Explore strategies to prevent AI dystopia in EU systems. Learn about legal and ethical frameworks to guide responsible AI development and implementation in critical sectors.
We're Building a Dystopia Just to Make People Click on Ads
Technosociologist explores how AI algorithms used for ads also shape access to political and social information, discussing potential misuse of AI and ways to respond.
Ethical Considerations in Predictive Analytics - Data Privacy, Bias Mitigation, and Accountability
Explore essential ethical dimensions of predictive analytics, focusing on data privacy protection, bias elimination strategies, and building transparent accountability frameworks.
Trust and Loyalty of AI-Based Decisions
Explore the critical aspects of trust and loyalty in AI decision-making processes, examining their implications and challenges.
A Rapidly Evolving Multidisciplinary Landscape - Recent Developments in AI Regulation
Explore recent developments in AI regulation and their impact on the rapidly evolving multidisciplinary landscape of artificial intelligence.
Deep Learning New Frontiers
Explore deep learning limitations and new frontiers, including expressivity, generalization, failure modes, uncertainty, adversarial attacks, and emerging areas like graph learning and AutoML.
Bringing Light to Risks Lurking in the Black Boxes of AI Models
Explore hidden risks in AI models and learn strategies to illuminate potential dangers lurking within these complex systems.
Data Ethics - Mitigating Bias in Algorithms
Explore strategies for mitigating bias in AI algorithms, addressing a critical challenge faced by tech companies to build consumer trust and ensure ethical AI development.
Can Search Results be Fair? - Haystack On Tour Austin
Explore fairness in search results with NIST Scientist Emeritus Ellen Voorhees, discussing challenges and potential solutions in information retrieval systems.
Navigating the Tradeoff Between Privacy and Fairness in Machine Learning
Explore the intersection of privacy and fairness in ML, addressing challenges and research-based solutions for regulated industries.
Leadership of Responsible AI - The Case for Inclusive Tech
Explore leadership in responsible AI, focusing on inclusive tech. Learn about algorithmic bias, its societal impacts, and strategies for ethical AI implementation in the digital age.
Fairness in Algorithmic Decision Making for Financial Services
Explore fairness in AI algorithms for financial services, addressing bias detection and mitigation to ensure ethical decision-making.
Ethical Implications of Artificial Intelligence
Explore the ethical considerations surrounding AI, examining its societal impact and potential consequences for human decision-making and autonomy.
Ethical Considerations of AI in Healthcare
Explore ethical implications of AI in healthcare, examining potential benefits and challenges for patient care, privacy, and medical decision-making.
Why This is the Moment for Public AI
Explore the urgent need for public AI alternatives and their potential impact on society in this thought-provoking keynote by Lawrence Lessig at the Library of Congress.
Regulating Artificial Intelligence - Challenges and Frameworks
Explore the implications of EU AI regulations and their impact on technology development with experts from the Alan Turing Institute.
Algorithmic Injustice and the Algorithmic Accountability Act
Explore algorithmic bias in criminal justice and everyday settings, examining the Algorithmic Accountability Act's impact on shopping and social media platforms.
How Developers Are Hacking AI to Shape the Future of Humanity
Explore AI's evolution, biases, and governance with Dr Rumman Chowdhury. Gain insights on building accountable AI, algorithmic audits, and the role of developers in shaping ethical AI systems for the future.
Open Problems in the Theory of Deep Learning - Panel Discussion
Explore cutting-edge perspectives on deep learning theory with leading experts, addressing unresolved questions and future research directions in this dynamic field.
Examining Gender Bias in Large Language Models - Is AI Sexist?
Explore gender bias in Large Language Models and discover practical steps to address AI bias, from understanding personal prejudices to becoming a more critical consumer of AI technology.
AI Ethics and Governance - Principles, Frameworks, and Implementation
Explore essential principles of AI ethics, from transparency and fairness to privacy, while learning practical governance frameworks for responsible AI development and implementation.