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Artificial Intelligence (GenAI) • Resources & Info: GenAI & Ethics

Resources and information on Generative AI (artificial intelligence)

Ethical Use of GenAI

Common Topics Surrounding Ethical Use of AI Include:

Bias & Discrimination
Transparency & Accountability
Copyright (Ownership) & Creativity
Plagiarism & Academic Integrity
Misinformation / Inaccurate Information / Hallucinations
Privacy, Security & Surveillance
Environmental Impact

Bias & Discrimination

Shedding light on AI bias with real world examples
IBM, October 2023
Does AI Have a Bias Problem?
NEA Today, February 2024
What Do We Do About the Biases in AI?
Harvard Business Review, October 2019
How can we manage biases in artificial intelligence systems – A systematic literature review
International Journal of Information Management Data Insights. 2023
How AI could perpetuate racism, sexism and other biases in society
NPR, July 2023

Privacy & Security

Privacy And Security Issues Of Using AI For Academic Purposes
Forbes, March 2024
Responsible AI: Protecting Privacy and Security
EBSCO, October 2024
Intellectual property and data privacy: the hidden risks of AI
Nature, September 2024
Privacy in an AI Era: How Do We Protect Our Personal Information?
Stanford University HAI, March 2024
AI and Privacy Issues: Challenges, Solutions, and Best Practices
eWeek, June 2024

Plagiarism & Academic Integrity

Generative AI and the future of higher education: a threat to academic integrity or reformation?
International Journal of Educational Technology in Higher Education, March 2024
Students and Professors Believe AI Will Aid Cheating
Inside Higher Ed, July 2024
Linking artificial intelligence facilitated academic misconduct to existing prevention frameworks
International Journal for Educational Integrity, October 2023
Academic Integrity in the Age of AI
Educause, November 2023
AI Eroding AI? A New Era for Artificial Intelligence and Academic Integrity
Faculty Focus, July 2023

Internet Resources

Academic Publishing

Two Major Academic Publishers Signed Deals With AI Companies. Some Professors Are Outraged
Chronicle of Higher Education, July 29, 2024
Taylor & Francis AI Deal Sets ‘Worrying Precedent’ for Academic Publishing
Inside Higher Ed, July 2024
What happens when your publisher licenses your work for AI training?
Author's Alliance, July 2024
My Publisher Fed My Book to AI
Inside Higher Ed (Opinion), Sept 2024
Will Building LLMs Become the New Revenue Driver for Academic Publishing?
Scholarly Kitchen, August 2023
Ensuring attribution is critical when licensing content to AI developers
Scholarly Kitchen, September 2024
We could run out of data to train AI language programs
MIT Technology Review (2022)

Environmental Impact

Three Mile Island nuclear plant will reopen to power Microsoft data centers
NPR, September 2024
The Uneven Distribution of AI’s Environmental Impacts
Harvard Business Review, July 2024
Can We Mitigate AI’s Environmental Impacts?
Yale School of the Environment, October 2024
Tackling AI’s Climate Change Problem
MITSloan Management Review, December 2024
The Environmental Impacts of AI -- Primer
Hugging Face, September 2024
Why efficient AI is essential for the world
The Verge, October 2024

Misinformation & Hallucinations

Is your AI hallucinating? New approach can tell when chatbots make things up
Science, June 2024
Getting a Handle on AI Hallucinations
Information Week, November 2024
How generative AI is boosting the spread of disinformation and propaganda
MIT Technology Review, October 2023
What to Know About AI Misinformation: A Primer for Teachers (Downloadable)
Education Week, November 2024
When AI Gets It Wrong: Addressing AI Hallucinations and Bias
MIT Sloan Teaching & Learning Technologies.
“Hallucinating” AIs Sound Creative, but Let’s Not Celebrate Being Wrong
The Reader (MIT Press), October 2023
Not All Hallucinations Are Bad: The Constraints and Benefits of Generative AI
NTT Data Focus (n.d.)

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