Webinar: AI Liability in the Era of Agentic Ecosystems: Legal, Ethical, and Operational Frontiers

Date and time:

7 July 2026 14:30–16:00

Location:

Online

The AI Liability Webinar 2026 is a high-level, practical convening designed for legal scholars, compliance officers, and industry engineers. Its primary goal is to map out actionable compliance paths and clarify risk allocation under Europe's rapidly evolving AI liability regime.

As artificial intelligence transitions from static software to autonomous, multi-agent systems, traditional fault-based frameworks are being pushed to their limits.

With the implementation of the EU AI Act and the Revised Product Liability Directive, European organisations cannot afford to wait for protracted litigation to define the rules of engagement. To secure innovation and maintain competitiveness, the European digital ecosystem must proactively translate abstract legal and ethical requirements into day-to-day technical and product governance.

This webinar bridges the gap between regulatory requirements and operational realities, providing a roadmap for proactive risk management and compliance.

Rewatch the webinar here

Agenda

Time	Description	Speaker
14:30-15:00	Part 1: The Legal and Ethical Framework • Welcome & Objectives: Why AI Liability matters; identifying core industry pain points. • The Tripartite Legal Framework: Contractual liability, non-contractual (tort) liability, and the emerging domain of state liability. • Procedural Shift: Navigating the shifting burden of proof under new PLD • Soft Law & Ethical Grounding: Operationalizing institutional opinions, guidelines, and European Commission communications	Marina Cugurra, Argyro Amidi, Amaya Garmendia, Katrin Saaremäel
15:00-15:15	Part 2: Deep Dives • Autonomous Agents & Human Oversight: Liability in Agentic AI and Multi-Agent Systems. • Algorithmic Bias: Liability for discriminatory outcomes in sensitive sectors (hiring, lending, housing).	Marina Cugurra, Argyro Amidi
15:15-15:30	Part 3: Examples and Sector-Specific Cases • Autonomous Vehicles: Modern variations of the trolley problem • Healthcare Domain: Diagnostic errors and wrongful recommendations in decision support systems. • Generative AI Misrepresentation: High-stakes misinformation and toxic outputs (e.g., liability in AI-influenced self-harm cases). • Industrial Automation: Physical harms and collaborative robots (Cobots).	Marina Cugurra, Argyro Amidi, Amaya Garmendia
15:30-15:50	Expert Roundtable & Panel - Deconstructing Risk: Allocation, Causality, and Opaque Systems along the AI Value Chain Debate Highlights: • Strict Liability vs. Market Innovation: Standardizing high-risk AI vs. protecting SME competitiveness. • The Opacity Paradox: Litigating "black box" systems without algorithmic explainability. • Ecosystem Accountability: Allocating risk between cloud providers, data suppliers, foundation model developers, and downstream deployers. • Judicial Operationalization: Translating high-level ethical principles into concrete case law. • Regulatory Adequacy: Assessing if the AI Act and Revised Product Liability Directive are enough to address next-gen algorithmic harms.	Moderator: Argyro Amidi Expert Panel: Sergiy Barbashyn, Alexei Grinbaum, Katrin Saaremael
15:50-16:00	Q&A and Wrap-up	Argyro Amidi