Overview

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In this course, you'll explore the ethical challenges posed by AI in modern society, focusing on critical issues such as privacy, misinformation, and job displacement. You will gain an understanding of AI's societal implications and discover practical strategies for ethical AI governance. The course combines theory with real-world examples, providing actionable knowledge to navigate the ethical and regulatory landscape of AI today and in the future. Through detailed case studies, you will analyze AI's role in misinformation, privacy violations, and the displacement of jobs, learning to develop strategies that foster ethical AI development and regulation. By the end of the course, you’ll be equipped with the tools to critically assess AI technologies and their societal impacts, ensuring you can engage with AI ethically. What sets this course apart is its focus on providing you with both the theoretical foundation and practical strategies for navigating the evolving world of digital ethics and AI governance. This course is designed for professionals, students, and anyone interested in understanding the ethical implications of AI and how it affects privacy, society, and governance. This course is based on a book published by IT Governance Publishing. © Dr Julie E. Mehan 2024. The author has asserted the rights of the author under the Copyright, Designs and Patents Act, 1988, to be identified as the author of this work. First published in the United Kingdom in 2024 by IT Governance Publishing.

Syllabus

A Digital World and Ethics

In this section, we examine ethical challenges in digital systems, evaluate AI's impact on social trust, and identify key stakeholders in ethical decision-making.

Digital Technology Disruption and AI

In this section, we explore how digital technology disruption and artificial intelligence are transforming industries.

An Overview of AI and Generative AI Setting the Stage

In this section, we explore artificial intelligence, its learning methods, and real-world impacts.

The Role of AI and Generative AI in Misinformation and Disinformation

In this section, we examine how AI and generative tools contribute to misinformation and disinformation. Key concepts include deepfake detection, ethical AI use, and digital literacy for critical thinking.

AI and Online Disinhibition

In this section, we examine how online anonymity influences behavior, distinguishing between benign self-disclosure and toxic aggression, and explore the implications for digital interactions.

Biased Brains Challenging All Types of Bias

In this section, we examine how AI bias arises from training data and algorithmic processes, focusing on its origins, impacts, and mitigation strategies for fairer technology systems.

AI and Job Displacement

In this section, we examine AI's impact on job markets, focusing on workforce changes, job security, and inequality. Key concepts include AI-driven automation, cognitive class risks, and policy responses.

AI Imitation Is Not a Form of Flattery

In this section, we examine AI's impact on creative works, evaluate IP protection challenges, and assess ethical implications of AI replication in the digital age.

Digital Technology, Ai, And Privacy - Is Anything Really Private Anymore?

In this section, we examine privacy definitions, AI's impact on personal data, and strategies for protecting digital information in modern technology.

AI and Autonomous Things

In this section, we examine AI's role in autonomous systems, focusing on IoAT applications in transportation and healthcare, and how IoT integration enhances efficiency and decision-making.

AI Is Rewiring Our Society and Our Behavior

In this section, we examine AI's impact on human behavior, social interactions, and societal norms, emphasizing ethical challenges and mitigation strategies.

AI Regulation and Policy 2024 and Beyond

In this section, we examine global AI regulation trends, emphasizing the need for responsible AI frameworks and ethical governance strategies to mitigate compliance risks and ensure sustainable AI deployment.

What's Next in AI

In this section, we examine AI trends, ethical implications, and advancements in healthcare and NLP, highlighting their potential societal impact and future applications.