April 29, 2024
Updated June 11, 2025
17 minute read
The Expanding Horizon of AI Auditing: A Comprehensive Career Guide
An AI Auditor is a professional responsible for the evaluation and assurance of artificial intelligence systems. Their primary goal is to ensure that AI technologies operate ethically, comply with legal and regulatory standards, and function as intended without bias or undue risk. This relatively new but increasingly vital role sits at the intersection of technology, ethics, and governance.
gq6zzf|
Find a path to becoming a AI Auditor. Learn more at:
OpenCourser.com/career/gq6zzf/ai
Reading list
We've selected some books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
AI Auditor.
Provides a comprehensive overview of deep learning. It valuable resource for anyone who wants to learn more about the technical aspects of deep learning.
Provides a comprehensive overview of the safety and security issues surrounding AI, covering topics such as adversarial attacks, malware, and cybercrime. It is written by a leading researcher in the field and is essential reading for anyone interested in the security implications of AI.
Provides a philosophical exploration of the human values that should guide the development and use of AI. It covers topics such as autonomy, privacy, and fairness. It is written by a leading philosopher in the field and is essential reading for anyone interested in the ethical implications of AI.
Provides a philosophical exploration of the potential dangers of AI, arguing that we need to develop strategies to ensure that it is used for good. It is written by a leading philosopher in the field and is essential reading for anyone interested in the ethical implications of AI.
Offers a comprehensive and critical examination of the entire lifecycle of AI, from the mining of raw materials to the labor involved and the environmental impact. It reveals the hidden costs and power structures behind AI, providing a broader context for understanding how bias is embedded in the very foundation of these systems. This book is excellent for gaining a deep and critical understanding of AI and its societal implications.
While not exclusively about AI, this book provides extensive evidence of how a lack of sex-disaggregated data and a male-centric default in design lead to bias and discrimination in various systems, including those that inform AI. It's a crucial read for understanding the importance of inclusive data collection and its impact on fairness in AI.
Provides a comprehensive overview of AI. It valuable resource for anyone who wants to learn more about the technical aspects of AI.
Provides a deep dive into the technical foundations of explainable AI, covering topics such as model interpretability, counterfactual reasoning, and causal inference. It is written by a leading researcher in the field and must-read for anyone interested in developing and deploying AI systems that are both accurate and understandable.
Delves into the technical aspects of designing algorithms that are socially aware and fair. It's more technical than some of the other recommendations, making it suitable for those with a stronger technical background who want to understand the computational challenges and solutions related to AI bias. This book can serve as a useful reference tool for practitioners and researchers.
Explores the complex challenge of aligning advanced AI systems with human values. While not solely focused on bias, it provides essential context for understanding the broader issues of control, safety, and ethical considerations in the development of powerful AI. It thought-provoking read for those considering the long-term implications of AI.
Examines the increasing power of algorithms and their lack of transparency in areas like finance, healthcare, and search engines. It discusses how these opaque systems can lead to unfairness and discrimination. This book valuable resource for understanding the broader societal implications of algorithmic decision-making.
Advocates for a framework of design justice, where technology and design processes are led by communities who are directly impacted by them. It offers practical guidance for creating more equitable and inclusive technologies, which is highly relevant to mitigating bias in AI development.
Examines how bias is built into the technology products and systems we use every day, with a focus on the impact on women and other marginalized groups. It provides relatable examples of how biased algorithms can lead to harmful outcomes. This book offers a practical and accessible entry point into understanding bias in technology.
Offers a feminist perspective on data science, highlighting how power and inequality are embedded in data and algorithms. It provides a set of principles for more ethical and equitable data practices, which are directly applicable to addressing AI bias. This book is valuable for understanding the social and political dimensions of data and AI.
This handbook provides a comprehensive overview of the legal, ethical, and policy implications of AI. It covers a wide range of topics related to AI governance, including bias and discrimination. valuable reference for researchers, policymakers, and advanced students interested in the regulatory landscape of AI.
Uses case studies to explore ethical challenges in AI, providing a practical approach to understanding and addressing issues like bias, privacy, and accountability. It's a valuable resource for gaining insight into real-world ethical dilemmas in AI development and deployment.
Provides a comprehensive overview of the ethical issues surrounding AI. It covers topics such as fairness, transparency, accountability, and safety.
Provides a clear and accessible introduction to the ethical issues surrounding AI. It great starting point for anyone who wants to learn more about this topic.
Provides a visionary look at the future of AI, exploring its potential to improve our lives and solve some of the world's most pressing problems. It is written by a leading AI researcher and entrepreneur and is essential reading for anyone interested in the potential benefits and risks of AI.
Provides a geopolitical perspective on the development and use of AI, exploring the competition between China and the United States. It is written by a leading AI researcher and entrepreneur and is essential reading for anyone interested in the global implications of AI.
Written by a leading AI researcher, this book explores the potential risks of advanced AI and how to ensure that AI remains beneficial to humanity. While it covers broader AI safety concerns, it provides important context for understanding why addressing issues like bias is crucial for building trustworthy AI systems.
Provides insights into the global landscape of AI development, focusing on the competition between the US and China. While not solely about bias, it offers valuable context on the rapid advancements in AI and the ethical considerations that arise in this competitive environment.
Explores the implications of AI for human life. It argues that AI has the potential to revolutionize our world, but that we need to be careful to use it wisely.
Explores the potential future of humanity in light of the development of AI. It discusses the challenges and opportunities that AI poses and the ways in which it could shape our future.
For more information about how these books relate to this course, visit:
OpenCourser.com/career/gq6zzf/ai
Save
