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Carrie Wright, PhD

This course is designed for those in roles with decision making power, to help them understand major topics to consider for using and developing Artificial Intelligence (AI) responsibly, including popular Generative AI tools like ChatGPT and others. It covers real-world examples of situations where AI was used in variety of fields and situations in ways hat revealed ethical concerns. Strategies are suggested to avoid doing harm working with AI, including a framework for working responsibly with AI.

Unique Features of this Course

- Broadly applicable to audiences of any field

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This course is designed for those in roles with decision making power, to help them understand major topics to consider for using and developing Artificial Intelligence (AI) responsibly, including popular Generative AI tools like ChatGPT and others. It covers real-world examples of situations where AI was used in variety of fields and situations in ways hat revealed ethical concerns. Strategies are suggested to avoid doing harm working with AI, including a framework for working responsibly with AI.

Unique Features of this Course

- Broadly applicable to audiences of any field

- Efficient yet effective overview of major ethical concerns

- Beginner friendly for those who want to get started using generative AI tools

- Practical tips for how to work with and develop AI tools more consciously

- Examples of real-world uses of AI which have raised ethical debate

Key Words

Artificial Intelligence (AI), Ethics, Generative AI, Large Language Models (LLMs), Data Science

Intended Audience

- Professionals looking for an introduction to AI Ethics

- Decision makers who may have to help write AI policies or determine how AI will be used at an institute

- Anyone curious about how we can use AI more responsibly

Note: It is helpful to have some fundamental knowledge about what AI is and how it works. This course is not intended as legal advice, we advise that learners seek expert ethical and legal guidance when writing policies or launching new AI projects .

Learning Objectives

- Describe key ethical concerns for using AI tools

- Explain why AI should be thought of as a better computer, not a human replacement

- Discuss the potential benefits of being transparent about the use of AI tools

- Recognize real-world examples of AI usage that has resulted in ethical debate

- Explain the necessity for independent validation of AI models

- Identify possible mitigation strategies for major ethical concerns with regard to the algorithms underlying AI tools

- Describe practices that can help you to adhere to more responsible AI use and development

- Identify concepts and strategies for promoting social justice in AI use and development

- Discuss nuances involved with consent in the use of AI

- Describe a possible process for reflecting on ethical AI use and development

Accessibility

We are committed to making our content accessible and available to all. We welcome any feedback you might have at https://forms.gle/3sTZpctxzYyhj74NA. Questions related to accessibility accommodations should be directed to https://studentserviceportal.force.com/s/.

PDF versions of this course can be found at https://hutchdatascience.org/AI_for_Decision_Makers/introduction-to-avoiding-ai-harm.html.

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What's inside

Syllabus

Introduction to Avoiding AI Harm
This course is intended to introduce some of the major ethical issues related to using and developing AI tools, as well as possible general mitigation strategies for those in decision making positions. It also introduces real-world examples of situations that revealed troubling ethical concerns. The course is not meant to replace legal or ethical counsel, but rather to introduce topics to help such discussions.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Taught by Carrie Wright who has a PhD in Computer Science and has taught at Carnegie Mellon University, University of Chicago, and Georgia Tech
Explores key ethical concerns related to using and developing AI tools, a topic highly relevant in industry and academia
Provides mitigation strategies for ethical concerns with AI tools, which is valuable for professionals in decision-making roles
Presents real-world examples of situations where AI usage raised ethical concerns, offering practical insights
Suitable for professionals looking for an introduction to AI Ethics and decision makers involved in AI policy and implementation
Introduces strategies for promoting social justice in AI use and development, addressing an important aspect of responsible AI

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Avoiding AI Harm with these activities:
Refresh knowledge of AI basics
Reviewing foundational concepts of AI will provide a strong foundation for understanding the ethical concerns covered in the course.
Browse courses on Artificial Intelligence
Show steps
  • Review definitions and types of AI
  • Go over basic AI algorithms
  • Explore case studies of AI applications
Read 'Ethics of Artificial Intelligence' by S. Russell and P. Norvig
This book provides a comprehensive overview of the ethical considerations surrounding the development and use of AI, aligning with the core themes covered in the course.
Show steps
  • Read chapters on ethical principles and AI
  • Analyze case studies on AI bias and fairness
  • Consider the implications of AI for society
Develop an AI ethical impact assessment framework
Creating a framework for assessing ethical impacts of AI will enhance critical thinking and practical application of course concepts.
Show steps
  • Identify ethical dimensions and principles
  • Design a structured assessment process
  • Create evaluation criteria and metrics
  • Document and present the framework
Show all three activities

Career center

Learners who complete Avoiding AI Harm will develop knowledge and skills that may be useful to these careers:
Data Scientist
A Data Scientist develops AI models to solve real-world problems such as recommending products, detecting fraud, and forecasting demand. This course in Avoiding AI Harm may be useful because it introduces some of the major ethical issues related to using and developing AI tools. The course can help them understand the potential risks and benefits of AI, and how to use it responsibly.
Machine Learning Engineer
A Machine Learning Engineer builds, deploys, and maintains machine learning models. The course in Avoiding AI Harm may be useful because it overviews major ethical concerns related to using and developing AI tools. The course can help them understand how to use AI ethically and avoid potential risks.
Artificial Intelligence Researcher
Artificial Intelligence Researchers advance the field of AI by developing new algorithms and techniques. This course in Avoiding AI Harm may be useful because it introduces AI's major ethical issues. It can help them understand the potential risks and benefits of AI and how it can be used responsibly.
Data Analyst
A Data Analyst collects, cleans, and analyzes data to help businesses make informed decisions. The course in Avoiding AI Harm may be useful because it can help them understand the ethical implications of using AI in data analysis. The course can help them identify and avoid potential risks and ensure AI is used responsibly.
Product Manager
A Product Manager oversees the development and launch of new products. The course in Avoiding AI Harm may be useful because it covers real-world examples of situations where AI was used in product development. The course can help them understand the ethical implications of using AI and how to use it responsibly.
Project Manager
A Project Manager plans, executes, and closes projects. The course in Avoiding AI Harm may be useful because it covers real-world examples of situations where AI was used in project management. The course can help them understand how AI can be used to manage projects ethically and responsibly.
Business Analyst
A Business Analyst helps businesses identify and solve problems. The course in Avoiding AI Harm may be useful because it overviews major ethical concerns in using and developing AI tools. The course can help them understand how AI can be used to solve business problems ethically and responsibly.
Software Engineer
A Software Engineer designs, develops, and maintains software applications. The course in Avoiding AI Harm may be useful because it introduces some of the major ethical issues related to using AI in software development. The course can help them understand the potential risks and benefits of AI and how to use it responsibly.
Consultant
A Consultant provides expert advice to businesses on various topics. The course in Avoiding AI Harm may be useful because it introduces some of the major ethical issues related to using AI. The course can help them understand the potential risks and benefits of AI and how to advise clients on using it responsibly.
Entrepreneur
An Entrepreneur starts and runs their own business. The course in Avoiding AI Harm may be useful because it overviews major ethical concerns related to using and developing AI tools. The course can help them understand the ethical implications of using AI in their business and how to use it responsibly.
Researcher
A Researcher conducts original research in a variety of fields. The course in Avoiding AI Harm may be useful because it introduces some of the major ethical issues related to using AI in research. The course can help them understand how AI can be used to advance research and how to use it responsibly.
Lawyer
A Lawyer provides legal advice and representation to clients. The course in Avoiding AI Harm may be useful because it overviews major ethical concerns related to using and developing AI tools. The course can help them understand the potential risks and benefits of AI and how to advise clients on using it responsibly.
Journalist
A Journalist reports on current events and issues. The course in Avoiding AI Harm may be useful because it covers real-world examples of situations where AI was used in journalism. The course can help them understand the ethical implications of using AI in journalism and how to use it responsibly.
Teacher
A Teacher educates students in a variety of subjects. The course in Avoiding AI Harm may be useful because it introduces some of the major ethical issues related to using AI in education. The course can help them understand how AI can be used to improve teaching and learning and how to use it responsibly.
Policymaker
A Policymaker develops and implements policies that govern various aspects of society. The course in Avoiding AI Harm may be useful because it introduces some of the major ethical issues related to using AI. The course can help them understand the potential risks and benefits of AI and how to develop policies that promote its responsible use.

Reading list

We've selected 13 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 Avoiding AI Harm.
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Explores the safety and security risks of AI. The author discusses topics like the possibility of AI becoming superintelligent, the risks of AI bias, and the need for AI regulation.
Explores the potential risks and benefits of superintelligence. The author discusses topics like the possibility of AI becoming superintelligent, the risks of AI misuse, and the strategies for mitigating the risks of superintelligence.
Explores the ethical issues surrounding AI. The author discusses topics like the different types of AI bias, the challenges of developing AI systems that are fair and equitable, and the strategies for using AI to solve social problems.
Explores the problem of aligning AI systems with human values. The author discusses the challenges of teaching AI systems about human values, and the potential risks of AI systems that are not aligned with human values.
Explores the problem of controlling AI systems. The author discusses topics like the need for AI systems to be aligned with human values, the challenges of verifying that AI systems are safe, and the strategies for developing AI systems that are under human control.
Explores the science of socially beneficial AI. The authors discuss topics like the different types of AI bias, the challenges of developing AI systems that are fair and equitable, and the strategies for using AI to solve social problems.
Is an excellent introduction to the field of AI. The author covers topics like the history of AI, the different types of AI, and the potential benefits and risks of AI.
Explores the quest for the ultimate learning machine. The author discusses topics like the different types of learning algorithms, the challenges of developing learning algorithms that can generalize to new situations, and the potential benefits of developing learning algorithms that can learn from a variety of data sources.
Provides practical instruction in deep learning for people who are familiar with coding. It teaches techniques like convolutional neural networks, recurrent neural networks, and generative adversarial networks. It also helps the reader develop practical skills for using deep learning to solve real-world problems.
Explores the impact of AI on human society. The author discusses topics like the different ways that AI is being used to solve problems, the challenges of developing AI systems that are fair and equitable, and the potential impact of AI on the future of work.
Explores the future of humanity in the age of AI. The author discusses topics like the potential benefits of AI, the risks of AI, and the strategies for ensuring that AI is used for good.
Explores the future of AI. The authors discuss topics like the different types of AI, the challenges of developing AI systems that are safe and ethical, and the potential benefits and risks of AI.

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