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Lightning Talk Intermediate First Talk

Responsible AI through Open Source: Transparent Intelligence Beyond Black Boxes

Proposal status is Withdrawn
Session Description

AI agents are evolving quickly, yet their decision-making often remains a black box.This talk explores how open-source AI frameworks enable transparency, accountability, and responsible design. Attendees will see practical examples of AI agents where decisions can be inspected, audited, and improved. The goal is to show how developers, students, and communities can shape a future where AI is truly open and built for everyone.

Key Takeaways

  1. Understand the risks of black-box AI and why transparency is essential.

  2. Learn how open-source AI frameworks make autonomous agents inspectable and accountable.

  3. See practical examples of responsible AI in action, including reasoning and decision auditability.

  4. Gain actionable insights on building ethical, transparent, and trustworthy AI systems.

References

https://www.microsoft.com/en-us/ai/responsible-ai
https://www.oecd.org/en/topics/policy-issues/artificial-intelligence.html
https://huggingface.co/docs/transformers/index
https://www.langchain.com/

Session Categories

Technology architecture
Knowledge Commons (Open Hardware, Open Science, Open Data etc.)
Speakers are hidden and anonymized for this event.