Developing an AI/ML Data Strategy: Data Bias & Ethical Considerations in AI

Skillsoft issued completion badges are earned based on viewing the percentage required or receiving a passing score when assessment is required. This course focuses on the ethical aspects of data analytics and artificial intelligence (AI) in our rapidly evolving world. It explores how AI and data analytics impact our society and emphasizes the importance of addressing ethical concerns, particularly data bias. In this course, students will learn to identify and address data bias in AI, exploring its real-world implications. Additionally, students will delve into the ethical aspects of AI, including transparency, fairness, and regulatory compliance, while considering the manager's role in ensuring ethical AI practices. By the end of this course, students will have a thorough grasp of the ethical issues that arise in AI and data analytics and be able to identify, assess, and mitigate bias in AI systems.