Key Issues in AI Ethics

Artificial intelligence (AI) is revolutionising every aspect of our lives, from the way we communicate and work to how we make decisions and solve problems. Its far-reaching influence can be seen in healthcare, where AI aids in diagnosing diseases; in finance, where it optimises trading strategies; in law enforcement, where it enhances surveillance capabilities; and so on. ‘Key Issues in AI Ethics’ is designed to explore the ethical questions surrounding the development and implementation of artificial intelligence. As AI technology becomes increasingly integral to various aspects of society, it brings about significant ethical challenges that require thoughtful consideration and responsible action. Already purchased this module? You can access the module at this link . Just make sure you are logged into your account to access the course material.

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About Key Issues in AI Ethics

What's covered

This module is divided into four parts. The first part covers the definitional complexities and structure of AI systems, providing a fundamental understanding of how AI works to navigate its ethical challenges. In the second part, we examine the ethical values applicable to AI design and application, such as transparency, fairness, equality, accountability, and environmental sustainability. The third part introduces a range of regulations with profound implications for AI practices, including the EU AI Act, GDPR, and Equality Act, amongst others. The fourth part provides strategies for mitigating the AI ethical risks faced by organisations. After completing this module, you will have the knowledge and tools to navigate the complex ethical terrain of AI, enabling you and your team to approach AI with responsibility and integrity.

Key Issues in AI Ethics

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