This presentation by Angelika Hellweger, Legal Director of Rahman Ravelli discusses the use of AI as evidence in criminal proceedings and the challenges it presents. The reliability and integrity of AI-generated evidence are crucial, as inaccurate data can lead to false outcomes and wrongful accusations.
The black box problem, where the inner workings of AI systems are not visible, raises concerns about understanding and evaluating the evidence. The chain of custody is also important in ensuring the authenticity of AI evidence. The technical complexity of AI and the lack of AI expertise make it difficult for defendants to challenge the evidence. Minimum standards, transparency, and training are needed to address these challenges.
Please do note Angelika’s audio has been supplemented by AI generated subtitles as the line was not the best!
Takeaways
- The reliability and integrity of AI-generated evidence are crucial in criminal proceedings
- The black box problem, where the inner workings of AI systems are not visible, raises concerns about understanding and evaluating the evidence
- The chain of custody is important in ensuring the authenticity of AI evidence
- Defendants face challenges in overcoming AI-generated evidence due to technical complexity and lack of AI expertise
- Minimum standards, transparency, and training are needed to address the challenges of using AI evidence in criminal proceedings
Sound Bites
- “The authenticity and the integrity of this data is more important.”
- “The inner operations of most of the AI systems are not visible to humans.”
- “From the moment the chain of custody is breached, evidence can no longer be considered as real.”
Chapters
00:00 – Introduction: AI as Evidence in Criminal Proceedings
03:07 – Authenticity and Integrity of Digital Data
04:33 – Challenges in Scrutinizing and Assessing AI Evidence
05:02 – The Chain of Custody in AI Evidence
06:55 – Difficulties for Defendants in Challenging AI Evidence
09:15 – The Judge’s Evaluation of AI Evidence
15:11 – Case Study: Risks of AI Deepfakes
19:35 – Conclusion: Addressing Challenges and Ensuring Procedural Guarantees
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