Documentation and AI in Technical Writing - Open Documentation Hour
Explore AI's impact on technical documentation, covering accuracy, legality, ethics, and potential applications in this informative session by Canonical's Technical Authors team.
Ethics in the Cloud - Safeguarding Responsible AI Development in Asia
Explore ethical AI development in Asia, focusing on data privacy, cybersecurity, and regulatory compliance. Learn strategies to champion responsible practices in the region's diverse tech landscape.
Big Pharma in the Overdose Crisis - A Former Drug Rep Speaks Out
Former pharma rep exposes misleading opioid marketing practices, becomes whistleblower, and advocates for improved industry oversight to address the overdose crisis and promote public health.
Advancing Digital Content Safety Part 2
Experts discuss policies, practices, and partnerships needed to improve online safety in digital media environments, addressing content creation, viewing, and sharing challenges.
O que é Filosofia a maneira clássica?
Explorando a filosofia clássica como formação em valores, Lúcia Helena Galvão compartilha sua experiência de 30 anos ensinando e praticando filosofia, destacando seu impacto na vida e na sociedade.
The Unconscious Is Not What You Think It Is
Explore the unconscious mind's role in shaping biases, values, and decision-making. Learn how understanding its workings can predict outcomes and enhance self-awareness.
Security Lessons From the Woofmutts - Or, How I Learned to Embrace the Slobber
Explore security insights inspired by dogs, emphasizing industry roles, personal growth, and effective communication. Learn to embrace challenges and shape the future of cybersecurity.
Weaponizing Your Fitness Tracker Against You - Health, Fitness, & Location Tracking in a Post-Roe World
Explore the potential risks of fitness trackers and health apps in a post-Roe world, examining privacy concerns and legal implications for reproductive health data.
Translation Tutorial - Fairness and Friends
Explore fairness in AI and its societal implications with experts from NYU and STOP. Gain insights into ethical considerations and practical approaches for responsible AI development.
Fairness, Equality, and Power in Algorithmic Decision-Making
Explore the ethical implications of algorithmic decision-making, focusing on fairness, equality, and power dynamics in AI systems and their societal impact.
Designing Accountable Systems
Explore strategies for creating transparent and responsible technological systems, focusing on accountability in design and implementation.
AI Explainability 360
Comprehensive tutorial on AI explainability, covering techniques, tools, and applications. Learn to implement transparent and interpretable machine learning models for ethical AI development.
Should Attention Be All We Need? The Ethical and Epistemic Implications of Unification in Machine Learning
Explore the ethical and epistemic implications of unification in machine learning, focusing on attention mechanisms and their impact on AI development and society.
Multi-disciplinary Fairness Considerations in Machine Learning for Clinical Trials
Explore fairness in machine learning for clinical trials through a multi-disciplinary lens, examining ethical implications and potential biases in healthcare research.
Fairness, Welfare, and Equity in Personalized Pricing
Explore the ethical implications and economic impacts of personalized pricing strategies, focusing on fairness, consumer welfare, and equity considerations in dynamic market environments.
Profiling and Representation
Explores bias in semantic representations, fair crowdsourced recommendations, profiling potential of computer vision, and rich subgroup fairness in machine learning. Discusses ethical implications in AI and data science.
Translation Tutorial - A Shared Lexicon for Research in Human-Centered Software Systems
Explore key terms in fairness, accountability, and transparency in algorithmic systems. Learn how different disciplines interpret these concepts to improve cross-disciplinary communication and research in human-centered software.
Fairness in Machine Learning - Lessons from Political Philosophy
Explore the intersection of machine learning fairness and political philosophy, drawing insights to address ethical challenges in AI decision-making systems.
What Is Discrimination, When Is It Wrong and Why?
Exploration of discrimination's definition, permissibility, and ethical implications. Surveys scholarly perspectives on discrimination law's purpose and debates surrounding various approaches to identifying wrongful discrimination.
Saving Humanity
Explore the impact of AI and technology on society, policy, and human values with Harvard's Latanya Sweeney. Examine unforeseen consequences and discuss how to shape our technological future responsibly.
Limits of Individual Consent and Models of Distributed Consent in Online Social Networks
Explore the limitations of individual consent and alternative models of distributed consent in online social networks, examining ethical implications and potential solutions.