Responsible AI: A Non-Technical Guide for Managers
Balancing AI Innovation with Ethics: Fairness, Privacy, and Generative AI Risks for Managers
Responsible AI: A Non-Technical Guide for Managers free download
Balancing AI Innovation with Ethics: Fairness, Privacy, and Generative AI Risks for Managers
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 AI
Core Principles of Responsible AI related to privacy, fairness and transparency
Generative AI Risks as hallucinations, data leakage and bias
Advanced Topics in Responsible AI related to sustainability, AGI and ASI
Implementing Responsible AI in Practice focusing on the responsible AI board, principles and training
Why 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.
