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Responsible AI: A Non-Technical Guide for Managers
3.058 Teilnehmer:innen
Das wirst du lernen
- 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
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Kursinhalt
5 Abschnitte • 18 Lektionen • 1 Std. 7 Min. Gesamtdauer
Anforderungen
- No advanced technical expertise is required.
Beschreibung
Includes full captions in English, Spanish, French, Portuguese, Hindi, Arabic, Japanese, German, Turkish, Indonesian, Korean, Polish, Vietnamese, Thai, Dutch, Swedish, Traditional and Simplified Chinese, and Italian!
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.
Für wen eignet sich dieser Kurs:
- 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.