Session Description
Responsible AI and AI Governance are two related hot topics that focus on the emerging ethical and governance challenges of modern AI systems, and their impact on business, individuals, and society. Through real-life examples, the session explores Responsible AI principles, such as fairness, privacy, and reliability, and their application in real-world scenarios. The session covers key risks—bias, privacy breaches, controllability, and safety concerns—while introducing governance frameworks like the EU AI Act. The session discusses the governance strategies to implement ethical AI practices, ensure compliance, and build trust in AI-powered solutions to support AI adoption in government, business and daily life.
Session Agenda
The session shall cover the following key points:
· An introduction on AI and its uses in business and society.
· Challenges and risks associated with AI systems with real-life examples.
· Responsible AI principles and their importance in fostering trust in AI solutions.
· Overview on different governance frameworks and strategies to ensure ethical, reliable and safe AI adoption.
Target Audience
This session targets the stakeholders and decision-makers in organizations that provide or consume AI-powered solutions, as well as AI developers and users concerned with AI risks and ethical use. Target audience include, but not limited to:
· Executives and managers overseeing AI strategy or deployment.
· Policy makers and compliance officers ensuring AI governance.
· Product owners and project leads managing AI-related projects.
· Engineers and practitioners involved in the various stages of the AI system lifecycle.
· Stakeholders seeking to understand AI ethics, risks, and governance approaches.
More Info: https://docs.google.com/forms/d/113Wyz9FMTeEMkYmNnWVHEZWC9aS6RQ8qe9z5QShzitA/viewform?edit_requested=true#responses
