Leveraging FOSS for AI Risk Mitigation

Title of the panel: Leveraging FOSS for AI Risk Mitigation

Objective: This session will be a panel discussion on how FOSS principles can be leveraged for mitigating common risks in AI use cases. It will conclude with a short presentation on Hasgeek's AI and Risk Mitigation report which will be launched in August.

Brief Description and Key Discussion Points:

As AI continues to revolutionize various sectors, it brings both unprecedented opportunities and significant risks. In India, sectors such as Agritech, Fintech, Edtech, public services, and Healthtech are rapidly adopting AI technologies. However, the lack of robust risk mitigation strategies can lead to unintended consequences, including data breaches, algorithmic biases, and systemic vulnerabilities.

Developments in FOSS can help mitigate some of these risks and contribute to not only building responsible AI, but also creating a culture around it.

The discussion will cover the following topics -

1. Role of FOSS principles and methods in mitigating risks like bias, lack of transparency and accountability in AI systems, privacy, etc.
2. Role of FOSS communities in fostering collaboration and conducting peer reviews to improve the security and reliability of AI technologies.
3. Impact of FOSS on shaping legal and policy frameworks around AI, including licensing models and regulations to promote responsible AI deployment.
4. Challenges faced in implementing FOSS-based mitigation strategies for AI risks, as well as opportunities for innovation and improvement in AI governance through FOSS collaboration.

Format:

Panel discussion followed by a short presentation, ending with audience Q/A. The discussion will include 4-5 panelists and 1 moderator, and I will be the presenter.