
Industry leaders discuss open source security challenges, policy implications, and strategies for managing and securing open source software at scale in enterprise environments.

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.

Explore neural opinion dynamics for predicting user stance shifts in digital democracy platforms, enhancing citizen engagement and policy-making through machine learning techniques.

Discover how the Dutch Land Registry transformed into an efficient Agile/DevOps organization using Docker, achieving rapid deployments and innovative private cloud infrastructure for public services.

Explore EBSI's blockchain infrastructure for cross-border public services, including network setup, hosting, and management insights. Learn about European use cases and future technical developments.

Explore AI's impact on democracy: campaigning, voting, legislation, policy enforcement, and courts. Discuss potential for increased citizen involvement and societal justice through secure AI systems.

Explore the Collingridge dilemma in AI development, examining challenges in controlling technology's impact and fostering collaborative solutions between policymakers and developers.

Explore AI's potential to transform public services, discussing efficiency gains, personalization, and ethical considerations in government applications of machine learning.

Explore AI applications for analyzing public voices to advance Sustainable Development Goals, focusing on innovative approaches and potential impacts.

Historian Paul A. Kramer explores the divisive US immigration debate, challenging the "insider vs. outsider" framing and proposing new questions to reshape the conversation around rights, equality, and shared responsibility.

Exploring how U.S. immigration policies inadvertently foster domestic abuse among undocumented immigrants, challenging viewers to reconsider current laws and protect vulnerable populations.

Learn to engage effectively in policymaking processes, focusing on technology policy. Gain insights into advocacy strategies and understanding legislative procedures for impactful participation.

Explore a framework for accountable algorithmic systems, focusing on reviewable automated decision-making to enhance transparency and fairness in AI-driven processes.

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.

Explore 21 mathematical definitions of fairness in machine learning, their embedded values, and implications for ethics and policy. Gain insights into the complexities of algorithmic fairness and its connection to theories of justice.

Explore ethical implications of AI predictions and fairness constraints in different contexts, examining moral distinctions and their impact on algorithmic decision-making.

Explore legal metaphors for encryption technology and their implications on civil liberties, commercial interests, and policy decisions in the digital age.

Panel discussion on securing critical national infrastructure featuring experts from energy, technology, and policy sectors. Explores challenges and strategies for protecting vital systems against cyber threats.

Exploring strategies to break down paywalls in scholarly communication and promote open access to scientific knowledge, including recent developments and collaborative efforts.

Expert panel explores the complex relationship between privacy and security, discussing challenges beyond encryption and proposing solutions to break the current stalemate in digital policy debates.

Explores global government proposals affecting encryption, their potential impacts on security and rights, and how various stakeholders are responding. Discusses ways to support strong encryption policies.