On May 19th, 2026, Andrea Martin, Boris Abramovic and Dr. Loreta Tauginienė presented during the Communicating AI Ethics: in Research and Practice session at the 2026 The Responsible AI Forum (TRAIF) held at Amerikahaus in Munich. The session was moderated by Communicating AI Ethics track chair Dr. Catarina Fontes.

Andrea Martin: “AI Ethics as Enterprise Value: Inclusive and Responsible Governance”

abstract excerpt: Artificial intelligence (AI) is rapidly transforming enterprise operations and more.  For enterprizes deploying AI in high-stakes domains such as credit scoring, customer profiling, fraud detection, etc., shareholders and the public expect ethical principles to be followed, including Explainability, Fairness, Robustness, Transparency and Privacy. Failures can yield regulatory penalties, reputational damage, and financial losses. Thus, investing in AI ethics is not only socially responsible, but strategically mitigates risks and enhances ROI and economic resilience.

Boris Abramovic: “Communicating AI Ethics: Art-based Approaches for Citizens’ Engagement”

abstract excerpt: In technology development, people are often seen as passive recipients of innovation, with small circles in labs or corporations making key decisions without public input. This results in limited citizen engagement in AI trajectories and growing gaps in public awareness about AI. To navigate the risks and make the most of AI’s progressive applications, people need to better understand how AI operates and its impact on our world. One way to achieve this is through public participation. Among the possibilities for more meaningful citizen involvement in AI trajectories, art-based engagement represents a unique approach to promoting AI awareness and ethics. This is demonstrated in public art initiatives, such as creative experiments with brain-computer interfaces and participatory theater that explore alternative futures.

Dr. Loreta Tauginienė:  “Communicating Ethical Oversight: REC Strategies”

abstract excerpt: Strategies for ethical artificial intelligence (AI) use in research, particularly overseen by Research Ethics Committees (RECs), demand multifaceted approaches to address potential risks. RECs require transparency from researchers to uphold research integrity. To fulfil ethical, legal, educational, social, political and structural responsibilities, RECs should ensure thorough ethical oversight, particularly, informed consent and ethical risk assessment, while also posing new AI-related questions to researchers.

The Responsible AI Forum 2026 was funded by the European Union. More on alignAI.

Watch a video of the talks and Q&A below.