Artificial Intelligence (AI) is transforming industries by automating tasks, optimizing decision-making, and unlocking new efficiencies. However, alongside its benefits, AI presents significant risks, including bias, security threats, misinformation, and ethical dilemmas. This session will explore the darker side of AI, highlighting the potential dangers and their impact on organizations. This session will focus on AI failures, security vulnerabilities, regulatory concerns, and the unintended consequences that arise when AI systems operate without proper oversight. The discussion will provide insights into how organizations can mitigate these risks and ensure responsible AI deployment.
Learning Objectives
- Identify key AI risks and major threats, including bias in AI models, security vulnerabilities, deepfakes, and misinformation.
- Analyze how AI risks can affect business operations, reputation, regulatory compliance, and security.
- Assess real-world examples of AI failures, ethical challenges, and the consequences of unchecked AI development.
- Determine best practices for responsible AI deployment, including governance frameworks, risk assessment, and bias reduction techniques.
Major Topics
1. Bias and fairness in AI Systems 2. Ethical Challenges and Governance gaps 3. Legal liability associated with AI-driven decisions
