Responsible AI: A Non-Technical Guide for Managers

Balancing AI Innovation with Ethics: Fairness, Privacy, and Generative AI Risks for Managers

What you’ll learn
Understand the main risks of working with (generative) AI, related to: privacy, fairness, explainability, transparency and accountability.
Evaluate AI projects in terms of responsible AI
Understand these risks and responsible AI practices through real-world examples in areas as banking, recruitment, healthcare and education.
Understand main issues related to regulations, such as the EU AI Act
Define the role and responsibilities of a Responsible AI Board
Implement Strategies for AI Risk Mitigation
Promote Organizational AI Literacy
Understand and Plan for Long-Term AI Risks

Requirements
No advanced technical expertise is required.

Description
In today’s rapidly evolving technological landscape, understanding and managing the risks associated with AI is crucial for business leaders.Course Overview:”Responsible AI: A Non-Technical Guide for Managers” povides a high-level introduction and is tailored to equip managers with the knowledge and tools necessary to navigate the complexities of AI implementation responsibly. The course provides both key concepts, some initial solutions and various cautionary tales to make the issue more tangible.The course is structured in five Sections:Intro to Machine Learning, AI and Responsible AICore Principles of Responsible AI related to privacy, fairness and transparencyGenerative AI Risks as hallucinations, data leakage and biasAdvanced Topics in Responsible AI related to sustainability, AGI and ASIImplementing Responsible AI in Practice focusing on the responsible AI board, principles and trainingWhy Enroll?This course offers a comprehensive, non-technical approach, making it accessible to managers from diverse backgrounds.Through real-world examples and practical insights, you’ll gain the confidence to lead AI initiatives that are not only innovative but also ethically sound and sustainable.Whether you’re new to AI or looking to deepen your understanding of its ethical implications, this course equips you to lead responsibly in a rapidly evolving technological landscape.

Who this course is for
Business Leaders and Decision-Makers: Managers, executives, and entrepreneurs seeking to understand and guide responsible AI practices in their organizations without technical prerequisites.
Professionals in Data-Driven Industries: Those working in sectors like finance, HR, healthcare, education, or government services, where AI governance and ethical considerations are critical.
Compliance and Risk Officers: Individuals navigating AI-related regulatory frameworks, governance policies, and risk mitigation strategies.
AI Project Stakeholders: Anyone involved in the oversight, implementation, or adoption of AI systems, focused on aligning technology with ethical and business goals.
Data scientists: Data professionals who are eager to understand the fundamentals of responsible AI.