This session explores the importance of understanding and managing the risks associated with generative AI with specific reference to:

·       Risk Assessment Techniques: Developing practical strategies for conducting comprehensive risk assessments of generative AI applications

·       Ethical Frameworks: Establishing ethical frameworks to evaluate and mitigate potential risks in generative AI systems

·       Auditing Staff Capability: Understanding the capability gaps in your organisation and how they can be addressed

·       Governance: how data and model governance should evolve to remain appropriate and adequate to mitigate relevant risks

Women are under-represented at all levels in the technology sector. Particularly within leadership positions, where they represent only 24% of

professionals. In the field of artificial intelligence, only 22% of professionals are women. Just 18% of authors at leading AI conferences are women. Unveiling the underrepresentation of women in the technology sector, this panel discussion addresses critical discussion points and strategies to increase visibility and amplify the voices of women in the field of AI.

• Enhancing representation: Implementing strategies to increase the visibility and inclusion of women in AI.

• Amplifying voices: Providing platforms for underrepresented groups to showcase their expertise and perspectives.

• Empowering leadership: Cultivating an inclusive culture by empowering women in leadership positions within the AI industry.