Abstract
We present key challenges and future research directions in the security and privacy of agentic AI, based on a horizon-scanning exercise that brought together thirty leading international experts from academia, industry, and government to engage in focused discussions and collaborative exercises on the emerging risks associated with the growing agency of AI.
Main Challenges
- Data Protection: Ensuring the security and privacy of user data as AI capabilities increase is a significant challenge.
- Algorithm Transparency: There is a need to enhance the transparency of AI decision-making processes so that users can understand and trust its operations.
- Ethics and Compliance: Developing ethical standards and regulations for AI usage globally to ensure responsible use of technology.
Future Research Directions
- Interdisciplinary Collaboration: Encourage experts from various fields to collaboratively explore AI security and privacy issues.
- New Technology Development: Innovate new encryption techniques and privacy-preserving methods to tackle the complexity of AI.
- User Education: Raise public awareness regarding AI security and privacy to empower users in self-protection.
Blogger's Review: The issues of security and privacy in agentic AI are increasingly important, especially as its autonomy grows. Future research should not only focus on technical aspects but also enhance discussions on ethics and legislation to ensure the healthy development of AI.