This topic explains what AI ethics is and why it matters. It will introduce the concept of responsible AI and provide examples of where AI can go wrong if ethical considerations are ignored.

Businesses gain a solid foundation for ethical AI development, reducing risks of harm and reputational damage.

''AI Ethics 101 An Introduction to Ethical AI'' by ''John Moore'' on YouTube

Focus on how AI systems can unintentionally reflect biases present in their training data. Students will learn how bias creeps into algorithms and the consequences of biased AI.

Understanding this can help businesses design more equitable products, improving customer satisfaction and avoiding discrimination.

''AI: Training Data & Bias'' by ''Code.org'' on YouTube

Discuss the importance of making AI systems transparent and explainable. Students will learn techniques to make AI models more understandable and how to maintain accountability in AI decision-making.

 Ensuring AI models are explainable can help build trust with customers and regulatory bodies, which is crucial in industries like finance and healthcare.

''Transparency in AI: Why Explainability Matters'' by ''Object Computing'' on YouTube

This topic covers the challenges AI poses to data privacy, particularly in areas like surveillance, personalized advertising, and data sharing. It will explore laws such as GDPR and how to align AI development with privacy standards.

Businesses that respect privacy regulations avoid fines and improve their reputation with customers who value data protection.

''AI and the GDPR (1): Making sense of AI and data protection'' by ''Fieldfisher Silicon Valley'' on YouTube

Students will explore the current legal landscape for AI and how regulatory bodies across different regions are developing frameworks to ensure responsible AI usage.

Ensures businesses stay compliant with laws and policies, avoiding penalties and fostering trust in their AI-driven services.

''EU lawmakers approve world's first legal framework on Artificial Intelligence | DW News'' by ''DW News'' on YouTube

Focus on the ethical implications of using AI in autonomous systems like self-driving cars, drones, and robotics. Explore safety concerns and liability issues.

Businesses deploying autonomous systems can avoid legal liabilities and public backlash by ensuring their systems meet ethical and safety standards.

''The ethical dilemma of self-driving cars - Patrick Lin'' by ''TED-Ed'' on YouTube

Examines the ethical considerations when AI is used in critical areas like healthcare, law enforcement, and finance, where decisions can have life-changing consequences.

 Ensuring ethical AI in these sectors helps businesses avoid costly errors, build public trust, and deliver fair services.

''Artificial Intelligence, ethics and the law: What challenges? What opportunities?'' by ''The Alan Turing Institute on YouTube

Welcome to the quiz section. Before you begin, please make sure you have watched the lesson videos thoroughly, as the questions are designed to test your understanding of key concepts discussed.

Here are a few things to keep in mind:

1. This is a timed quiz, so you’ll need to manage your time effectively.
2. Read each question carefully and choose the best answer based on the material covered in the lesson.
3. The quiz is an excellent opportunity to test your knowledge and reinforce what you’ve learned, so try your best!