As we continue to grapple with the explosion of Generative AI, this panel will explore the evolution of Responsible AI practices in enterprises to innovate with this technology while ensuring ethical, compliant, safe, and impactful deployment. As AI continues to shape industries, understanding and adapting to the evolving landscape practices are crucial for sustainable innovation.
Panelists will delve into:
• Navigating the rapidly changing world of Generative AI, how the risks posed have shifted the responsibilities for companies.
• Top priorities and challenges internally.
Maximizing Business Value Through AI Model Security: Addressing Key Threats, Embracing Adversarial Testing, and Driving Continuous Innovation.
This interactive session is for sharing case studies and discussing ideas. This is a chance for you & your peers to delve into the critical aspects of AI safety, responsibility, accountability, trust, internal culture, organisation, prioritisation, forming of dedicated RAI teams, and productivity.
The BBC has developed AI principles and a risk management framework to guide the corporation’s approach to the rapidly changing AI landscape. But turning key principles into practice means diving into the challenging world of evaluating the technical performance of AI. In this talk James and Oli will share the BBC’s emerging approach to AI evaluation, with practical examples of testing AI services and measuring public service values like representation and universality in personalised platforms such as iPlayer.
Explore strategies to overcome bias and hallucinations in generative AI models for inclusive datasets. Learn how varying data governance leaders in leading organizations are:
• Employing diverse datasets and rigorous testing to identify and mitigate biases.
• Implementing ethical guidelines and validation processes to ensure inclusivity and fairness.
• Collaborating with diverse stakeholders to address ethical concerns and promote transparency.