Jakub Szarmach

Governance in the Age of Generative AI: A 360º Approach for Resilient Policy and Regulation

A Legal Framework for eXplainable Artificial Intelligence

NIST: Reducing Risks Posed by Synthetic Content An Overview of Technical Approaches to Digital Content Transparency

METHODOLOGY FOR THE RISK AND IMPACT ASSESSMENT OF ARTIFICIAL INTELLIGENCE SYSTEMS FROM THE POINT OF VIEW OF HUMAN RIGHTS, DEMOCRACY AND THE RULE OF LAW (HUDERIA METHODOLOGY)

Competences and governance practices for artificial intelligence in the public sector

Generative AI Governance Framework

Applying Data Protection Principles to Generative AI: Practical Approaches for Organizations and Regulators

Standards as a Basis for the Global Governance of Al in Research

Roles and Responsibilities Framework for Artificial Intelligence in Critical Infrastructure

Ethics in Action: From White Paper to Workplace

The Anatomy of AI Rules A systematic comparative analysis of AI rules across the globe

Harmonised Standards for the European AI Act

Global Trends in AI Governance Evolving Country Approaches

Navigating AI Compliance Part 1: TRACING FAILURE PATTERNS IN HISTORY

FRAMEWORK TO ADVANCE AI GOVERNANCE AND RISK MANAGEMENT IN NATIONAL SECURITY

Generative AI and the Nature of Work

Artificial Intelligence-Enabled Device Software Functions- Lifecycle Management and Marketing Submission Recommendations

Walking the Walk of AI Ethics: Organizational Challenges and the Individualization of Risk among Ethics Entrepreneurs

Fundamental Rights Impact Assessments: What are they? How do they work?

AI Impact Assessment The tool for a responsible AI project

AI GOVERNANCE AND ETHICS – GENERATIVE AI Expanded Guide

THE AI ACT: ROAD TO COMPLIANCE

AI Tools in Society: Impacts on Cognitive Offloading and the Future of Critical Thinking

Assessing Al Surveying the Spectrum of Approaches to Understanding and Auditing Al Systems