Mastering Ethical, Legal, and Practical Aspects of AI Governance
Sub Category
- IT Certifications
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Objectives
- Understand and implement ethical AI governance principles to ensure responsible AI use
- Identify and mitigate risks in AI systems to enhance transparency and accountability
- Navigate global AI regulations, including GDPR and CCPA, to maintain compliance standards
- Engage stakeholders effectively to build trust and support in AI governance practices
Pre Requisites
- Basic Understanding of AI Concepts: Familiarity with general AI principles, such as machine learning and data processing, is helpful for understanding governance frameworks but is not mandatory
- Interest in Ethics and Compliance: A keen interest in ethical considerations, regulatory compliance, and risk management in technology applications will be beneficial for navigating the course material.
- Professional or Academic Background in Technology or Policy (Preferred): Professionals working in fields like data science, technology, law, business management, or policy-making will find the course especially relevant
- Willingness to Engage in Case Studies and Practical Exercises: The course includes real-world case studies and exercises designed to apply AI governance principles, so an open approach to practical learning is encouraged
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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