Coursera

Avoiding AI Harm (Coursera)

Offered by Fred Hutchinson Cancer Center,
Avoiding AI Harm (Coursera)

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.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

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

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

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.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

New Technologies for Business Leaders (Coursera) Coursera
Rutgers University

New Technologies for Business Leaders (Coursera)

Marketing & Communication Business

This introductory course is developed for high-level business people (and those on their way) who want a broad understanding of new Information Technologies and understand their potential for business functions (e.g. marketing, supply change management, finance). This is not a course for people looking for guidance on how to become a deep technical expert or implement these technologies.

Nov 23rd 2026
5-12 Weeks
Business Artificial Intelligence Big Data
Details
Tools and Practices for Addressing Pandemic Challenges (Coursera) Coursera
Politecnico di Milano

Tools and Practices for Addressing Pandemic Challenges (Coursera)

Statistics & Data Analysis Data Science

An overview of the tools, techniques, and practices that can be enacted by policy makers, countries, and organizations to monitor, manage, and react to pandemics and mitigate and govern their impacts. An introductory, multidisciplinary course covering data science, social science, healthcare, and management, paving the way to various courses on specific matters.

Nov 23rd 2026
2 Weeks
Healthcare Public Health Social Science
Details
Understanding China, 1700-2000: A Data Analytic Approach, Part 2 (Coursera) Coursera
The Hong Kong University of Science and Technology - HKUST

Understanding China, 1700-2000: A Data Analytic Approach, Part 2 (Coursera)

Statistics & Data Analysis Data Science

The purpose of this course is to summarize new directions in Chinese history and social science produced by the creation and analysis of big historical datasets based on newly opened Chinese archival holdings, and to organize this knowledge in a framework that encourages learning about China in comparative perspective. Our course demonstrates how a new scholarship of discovery is redefining what is singular about modern China and modern Chinese history.

Nov 23rd 2026
4 Weeks
History China Data Science
Details
Journalism, the future, and you! (Coursera) Coursera
Michigan State University

Journalism, the future, and you! (Coursera)

Art and Culture

You will learn about the career paths that are available in journalism, and what opportunities the skill sets of a journalist can offer in other fields. You will explore areas such as being an international correspondent, self-publishing in journalism, as well as how to freelance in the field. You will be empowered to develop your own path in journalism, from being an active and informed consumer, to being a journalist.

Nov 23rd 2026
5-12 Weeks
Ethics Journalism Journalist
Details
Introduction to Sustainability (Coursera) Coursera
University of Illinois at Urbana-Champaign

Introduction to Sustainability (Coursera)

Sci: Energy & Earth Sciences

This course introduces the academic approach of Sustainability and explores how today’s human societies can endure in the face of global change, ecosystem degradation and resource limitations. The course focuses on key knowledge areas of sustainability theory and practice, including population, ecosystems, global change, energy, agriculture, water, environmental economics and policy, ethics, and cultural history.

Nov 23rd 2026
5-12 Weeks
Earth Sustainability Energy
Details
Machine Translation (Coursera) Coursera
Karlsruhe Institute of Technology - KIT

Machine Translation (Coursera)

Data Science

Welcome to the CLICS-Machine Translation MOOC. This MOOC explains the basic principles of machine translation. Machine translation is the task of translating from one natural language to another natural language. Therefore, these algorithms can help people communicate in different languages. Such algorithms are used in common applications, from Google Translate to apps on your mobile device.

Nov 23rd 2026
5-12 Weeks
Machine Learning Translation Data Science
Details
Corruption (Coursera) Coursera
University of Pennsylvania

Corruption (Coursera)

Social Sciences

You can't understand the world today if you don't understand corruption. Every day, we see high-level government officials resigning, governments changing, hundreds of thousands of people standing in squares, holding up signs, and often risking their lives to protest the corruption in the world. It's critically important to the health of our societies to understand what people are protesting against. We want to understand corruption. This course is designed to teach you about what corruption is, what causes corruption, the effects of corruption, and how to control corruption.

Nov 23rd 2026
4 Weeks
Ethics Corruption Business Strategies for A Better World Specialization
Details
Machine Learning in Healthcare: Fundamentals & Applications (Coursera) Coursera
Northeastern University

Machine Learning in Healthcare: Fundamentals & Applications (Coursera)

Health & Society Data Science

Examines data mining perspectives and methods in a healthcare context. Introduces the theoretical foundations for major data mining methods and studies how to select and use the appropriate data mining method and the major advantages for each. Students are exposed to contemporary data mining software applications and basic programming skills. Focuses on solving real-world problems, which require data cleaning, data transformation, and data modeling.

Nov 23rd 2026
4 Weeks
Healthcare Artificial Intelligence Machine Learning
Details
Ethical Issues in Data Science (Coursera) Coursera
University of Colorado Boulder

Ethical Issues in Data Science (Coursera)

Statistics & Data Analysis Data Science

Computing applications involving large amounts of data – the domain of data science – impact the lives of most people in the U.S. and the world. These impacts include recommendations made to us by internet-based systems, information that is available about us online, techniques that are used for security and surveillance, data that is used in health care, and many more. In many cases, they are affected by techniques in artificial intelligence and machine learning.

Nov 23rd 2026
5-12 Weeks
Philosophy Artificial Intelligence Security
Details
AI-Enhanced Content Creation:Elevate Copywriting with Humata (Coursera) Coursera
Coursera Instructor Network

AI-Enhanced Content Creation:Elevate Copywriting with Humata (Coursera)

Data Science

AI-driven writing isn't just about words; it's about understanding emotions. Advanced algorithms can analyze sentiments and tailor messages to evoke specific feelings, creating a powerful connection with your audience that goes beyond the text on the screen. This one-hour course is for those interested in automating the process of creating effective advertisement campaigns, website content, email marketing, and more with generative AI. More specifically, you'll learn to use Humata AI to identify a target audience and to create a compelling Facebook advertisement and blog post.

Nov 23rd 2026
1 Week
Artificial Intelligence Copywriting Advertisements
Details