EXPERT PANEL ADDRESSING RISKS & CONCERNS OF GENAI FOR AUTOMOTIVE APPLICATIONS

Generative AI has the potential to revolutionize the way automotive companies operate, but it also poses known and unknown risks, including regulatory, ethical, privacy, and security concerns that need to be carefully managed.

• This panel of experts will delve into where we are at in terms of what we know about known risks, regulations, governance, and data concerns legislation, and how best to adopt AI into the enterprise.

Illuminating the transformative potential of integrating Generative AI into the safety and security protocols of autonomous vehicles, underlining a future where autonomy is synonymous with unparalleled safety.

• Delineate the steps taken in developing verification methods, from leveraging large language models for comprehensive safety assessments and potentially threat analysis.
• Bridge the gap between current safety practices and future needs, offering insights into overcoming regulatory ambiguities and enhancing trust in autonomous technologies.
• Highlight the technical strides made but also emphasize the critical balance between innovation and practical challenges, setting a precedent for responsible AI use in advancing automotive safety.

PANEL DISCUSSION

The industry agrees that Generative AI has powers to transform product development and process automation for the automotive industry. The first step in this direction is safe and effective deployment. This session will provide attendees valuable insight into some of the automotive industry’s burning questions including:

• What is the most effective way to deploy generative AI models so that they can be trusted with in safety-critical areas?
• Should we develop our own fine-tuned generative model or use widely used models?
• What are the benefits of using a ready-made generative model vs. developing an in-house generative model?
• What blockers will we face if we try to develop our own fine-tuned model?
• What do we need to consider from a regulatory, governance and data privacy point of view?