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World Congress 2026 Europe • Jul 9, 2026 • Session details

Building Accountability in Agentic AI

Frederik Gregaard , Mariana de la Roche W.

When autonomous AI agents share sensitive data across corporate boundaries, who is legally responsible? Discover how immutable public ledgers and cryptographic identities solve the agentic AI accountability crisis.

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#1 about 2 min

The accountability gap in cross-organizational agentic AI

Identifying who is legally responsible when autonomous models exchange user data behind regulatory paywalls is crucial for enterprise governance.

#2 about 3 min

Creating evidence trails with digital identity and micro-payments

Implementing stablecoin micro-payments establishes verifiable interaction logs between multi-organizational agents to deter computational abuse and meet data protection compliance.

#3 about 3 min

Navigating the legal complexities of autonomous agent delegation

Tracking recursive operations among interconnected models exposes structural challenges in assigning financial damages without clear economic contracts.

#4 about 3 min

Establishing legal admissibility through immutable blockchain attestations

Immutable blockchain attestations overcome judicial distrust in fragmented information technology logs when managing multi-partner systems.

#5 about 3 min

Ensuring model training confidentiality with zero-knowledge proofs

Applying zero-knowledge proofs verifies hidden proprietary data outputs for neural network training while maintaining strict privacy standards.

#6 about 3 min

Fostering technology innovation beyond defensive regulatory protectionism

Shifting from defensive policy restrictions to proactive technological implementation can stimulate regional economic growth while decreasing dependency on foreign infrastructure.

#7 about 3 min

Securing enterprise artificial intelligence through foundational model mandates

Assigning robust digital identities directly to autonomous models prevents arbitrary shifts in their operational directives and mitigates long-term enterprise risks.

#8 about 3 min

Adapting traditional finance identifiers for quantum-secure AI architectures

Inheriting highly-adopted legal entity identifiers establishes non-repudiable organizational control boundaries around automated decision engines.

#9 about 5 min

Unintended consequences of regional and international stablecoin regulation

Strict implementation of local stablecoin policies risks diminishing European capital market autonomy by incentivizing regional banks to collateralize through foreign treasury bills.

#10 about 7 min

Driving agricultural efficiency through localized blockchain consensus models

Integrating low-orbit satellite imagery with distributed ledgers allows isolated farmers to verify crop metrics and access digital capital.

#11 about 3 min

Accelerating infrastructure deployment using standardized open source templates

Supplying pre-configured markdown files enables rapid developer deployment of deep tech integrations for highly specific use cases like real-time energy tracking.

Matching moments

1:10 min

Adopting the modern AI accountability technology stack

Nnenna Ndukwe Nnenna Ndukwe · World Congress 2026 Europe

1:40 min

Addressing data sovereignty and compliance blind spots within AI

Sebastian Kister Sebastian Kister · World Congress 2026 Europe

3:21 min

Enabling autonomous AI agents with programmable blockchain budgets

Brian Whippo Brian Whippo · Coffee With Developers

1:54 min

Establishing C-level accountability for AI orchestration

Björn Bringmann Björn Bringmann +3 · World Congress 2024

2:12 min

Balancing artificial intelligence abundance with blockchain assurance capabilities

Ed Marquez Ed Marquez · World Congress 2024

4:01 min

Finding practical intersections between blockchain technology and artificial intelligence

Arthur Breitman Arthur Breitman +2 · World Congress 2024

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