As AI becomes an integral part of organisational operations, the challenges of managing associated risks are growing exponentially. AI systems come with vulnerabilities and a wide range of software dependencies, making effective auditing essential for IT and compliance leaders. Recent updates, such as OWASP’s expanded Top 10 list of risks for large language models (LLMs) and generative AI (GenAI), underscore the urgency of addressing these risks.
This webinar will explore the evolving risk landscape of AI, focusing on key concerns such as ethics, compliance, and vulnerabilities, with a specific emphasis on European organisations. With the EU AI Act and other regional regulations shaping AI governance, businesses must adapt their compliance frameworks to meet these stringent requirements. Attendees will gain practical insights into auditing AI systems to ensure compliance, mitigate risks, and safeguard organisational integrity.
Led by industry experts, this session will provide strategies for evaluating AI-driven risks and implementing robust governance practices. Whether tackling algorithmic bias, data privacy challenges, or AI-linked cybersecurity threats, this webinar will equip you with tools and frameworks to thrive in a rapidly evolving regulatory landscape.
Key Takeaways
- Addressing Key AI Risks: Discover strategies for mitigating algorithmic bias, enhancing AI system transparency, and managing cybersecurity threats linked to AI
- Practical AI Risk Auditing Frameworks: Learn step-by-step approaches to auditing AI systems, ensuring alignment with industry standards and regulatory mandates
- Compliance Readiness for AI Regulations: Understand the implications of emerging regulations like the EU AI Act and how to prepare your organisation for compliance
