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World Congress 2025 • Aug 20, 2025 • Session details

Trust by Design: Creating Responsible AI-Powered Services

Christoph Bräunlein , Dr. Marc Fuchs , Eva Stepkes , Niklas Harzheim

Will your next AI rollout empower users or reproduce systemic discrimination? Discover how to embed human autonomy and robust ethical frameworks directly into your product design.

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#1 about 3 min

AI applications and risks in public administration

Deploying artificial intelligence across administrative environments requires balancing digital efficiency with the severe safety risks of automated decision-making.

#2 about 2 min

Implementing organizational frameworks for ethical AI development

Providing development teams with dedicated ethics enablers and concrete codes of conduct ensures thorough, individual evaluation of every technical use case.

#3 about 2 min

Ensuring responsible artificial intelligence through rigorous testing loops

Implementing comprehensive network evaluation frameworks and continuous red-teaming feedback pipelines mitigates potential harmful outcomes from deployed foundation models.

#4 about 3 min

Addressing algorithmic bias and discrimination in decision systems

Relying on unchecked historical datasets often reproduces hidden demographic biases and causes significant downstream social damage lacking fair remediation paths.

#5 about 2 min

Managing systemic model failures and continuous user feedback

Rapidly rolling back flawed version capabilities based on continuous consumer tracking prevents recurring generation errors and rebuilds necessary systemic trust.

#6 about 4 min

Designing AI interfaces for user autonomy and control

Integrating deliberate application breakout pathways and explicit human-in-the-loop verification processes empowers consumers to override automated operational systems efficiently.

#7 about 4 min

Clarifying algorithmic intent through system and data cards

Publishing detailed service documentation files and verified data fairness labels establishes essential transparency regarding the core operational motives of deployed networks.

#8 about 4 min

Navigating AI legislation and regulatory risk frameworks

Structured legislative policies like the European model regulations align civic interest with technological deployment despite creating initial scaling bottlenecks.

#9 about 5 min

Practical guidance for developing trustworthy AI applications

Engineering teams must utilize provided API safety provisions to continuously iterate deployments while simultaneously optimizing service accessibility for affected user groups.

Matching moments

1:34 min

Introduction to responsible artificial intelligence and societal impact

Toju Duke · WWC 2022

6:00 min

Building trust and cultural adoption for ai frameworks

Kai Grunwitz Kai Grunwitz +2 · WWC 2025

4:25 min

Assessing AI ethics adoption in the private sector

Björn Bringmann Björn Bringmann +3 · WWC 2024

5:18 min

Addressing psychological safety and ethical risks of AI adoption

Vera Slavnić Vera Slavnić · Europe 2026 Virtual

6:23 min

Adopting structured ethical frameworks for trustworthy artificial intelligence

Prathyusha Charagondla · LIVE

1:47 min

Evaluating ethical responsibilities for AI product integration

Krzystof Czieslak · LIVE

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