As we delve into the complexities of AI governance and ethics, this section will provide you with a
comprehensive understanding of the multifaceted challenges and considerations that come with integrating
AI into various sectors.
You will learn about the legal challenges posed by AI, particularly focusing on tort liability and
responsibility, which will help you appreciate the intricacies of assigning blame and ensuring accountability
when AI systems malfunction or cause harm.
We will then explore intellectual property rights in AI system ownership, examining how traditional
IP laws apply to AI generated content and the rights of creators and developers.
This will prepare you to navigate the legal landscape surrounding AI innovations.
You will also gain insights into the importance of educating users on the functions and limitations
of AI, emphasizing the need for transparency and informed usage to mitigate misunderstandings and misuse.
Addressing workforce upskilling and reskilling needs is crucial.
In an era where AI is transforming job roles, you will learn strategies to ensure that the workforce
remains relevant and skilled in an AI driven world.
Furthermore, the concept of building a profession of AI auditors will be introduced, focusing on establishing
standards and training that ensure AI systems operate ethically and effectively.
Automated governance for AI ethical issues will be discussed to illustrate how automated systems can
help enforce ethical standards and compliance.
Finally, you will explore the preparations needed for the future of AI governance and ethics, equipping
you with the foresight and knowledge to anticipate and address emerging challenges in AI deployment.
This section aims to equip you with a robust understanding of the legal, ethical and practical aspects
of AI governance, thereby fostering a thoughtful and proactive approach to managing and regulating
AI technologies.
Prepare to engage with these critical topics and emerge with a well-rounded perspective on the future
of AI.