Online Learning for Network Resource Allocation
Explore advanced online learning techniques for optimizing network resource allocation, focusing on caching strategies, inference delivery networks, and fairness in unpredictable environments.
Elements of Excellence in PhD Research
Discover essential strategies and insights for conducting high-quality PhD research, from choosing advisors and research problems to developing scholarly excellence and maintaining research integrity.
Workplace Ethics: What's the Right Thing to Do
Explore ethical decision-making in professional settings, examining moral dilemmas and developing strategies for navigating complex workplace situations.
A Theory of Multi-objective Machine Learning
Explore multi-objective learning as a unifying paradigm for robustness, collaboration, and fairness in machine learning, with technical tools and empirical evidence.
Seeing the Unseen - AI, Ethics and the Future of Transparency
Explore AI ethics, transparency, and societal impact with expert panelists. Discuss emerging dilemmas, legislation, and user experiences in AI development and implementation.
To See or Not to See - Is AI at Its Best When People Know It's There?
Explore the ethical implications of AI transparency in online services, examining strategies from Reddit's open-source approach to Google's partial disclosure and their impact on user trust and engagement.
A Theory of Appropriateness with Applications to Generative Artificial Intelligence
Explore a theory of appropriateness in AI, focusing on complex cognitive behaviors, evaluation methods, and modeling processes like cumulative culture in human intelligence.
Fostering Cooperation via Fairness in AI Systems
Explore fairness in AI decision-making, addressing efficiency, elicitation, and incentives. Learn theoretical foundations for fairness in voting, resource allocation, and machine learning.
Normative Intelligence - Cooperative AI Summer School 2024
Explore normative intelligence and its implications for AI governance, safety, and societal impact with insights from law, economics, and technology.
Socially Responsible Software Development - Teaching Software Design Systematically
Explore socially responsible software development and its importance in education. Learn strategies for creating curricula that emphasize software as a message to future developers.
Tekoäly ja terveysdata - Mahdollisuudet ja haasteet terveydenhuollossa
Tutustu tekoälyn mahdollisuuksiin ja haasteisiin terveystietojen hyödyntämisessä. Syvenny asiantuntijoiden keskusteluun datan käytöstä, sääntelystä ja vaikutuksista tutkimukseen sekä terveydenhuoltoon.
ChatGPT in Research
Explore ethical considerations and practical applications of ChatGPT in research with insights from leading experts in AI and data science.
Can Johnny Be a Whistleblower? A Study of Social Authentication in Adversarial Scenarios
Explore the effectiveness of social authentication in secure messaging through a whistleblower scenario study comparing different verification methods and user behaviors in adversarial conditions.
How AI Could Hack Democracy
Explore law professor Lawrence Lessig's critical analysis of AI's current impact on democratic systems and the urgent need for attention to these challenges before reaching AGI.
Trustworthy AI: Future Trends and Best Practices - Session 129
Discover essential strategies for building secure AI applications with built-in safety measures, data protection protocols, and compliance frameworks while exploring emerging trends in AI security.
Understanding AI Ethics and Governance - Building Responsible and Trustworthy Systems
Explore the critical principles of ethical AI development, from addressing algorithmic bias to implementing governance frameworks for responsible and transparent artificial intelligence systems.
Responsible AI Innovation on Windows Copilot+ PCs
Discover how Windows approaches responsible AI innovation through privacy, security, safety, and fairness principles while implementing AI-powered experiences in Copilot+ PCs.
On Spurious Associations and Large Language Model Alignment
Delve into the complex relationship between LLM alignment goals and their unintended effects, exploring how targeted improvements may create unexpected output changes.
Ethical Dimensions of AI in Educational Technology
Explore critical ethical considerations in educational technology, from privacy and data protection to equity concerns, while examining responsible AI implementation strategies and digital well-being.
Crafting Hyper-Relevant User Experiences with AI-Powered Personalization
Discover how to create personalized user experiences using AI, from data collection and ethical considerations to implementation strategies and future trends in real-time personalization at scale.
Evil Tech: How Developers Became Villains - The Ethics of Modern Software Development
Explore the transformation of developers from celebrated innovators to scrutinized figures, examining ethical dilemmas in modern tech development and the balance between progress and responsibility.