Prompt engineering. Access to prompt engineering course on LinkedIn learning - 

The impact of data bias on AI outcomes. LinkedIn Learning video, part of Navigating AI Through an Intersectional DEI Lens

Legal Research using Generative Artificial Intelligence (Gen AI) (OER book section)

Living guidelines on the responsible use of generative AI in research. European Research Area (ERA) Forum

Automated Decision-Making Systems and Discrimination Understanding causes, recognizing cases, supporting those affected A guidebook for anti-discrimination counseling

The Coloniality of Data Work for Machine Learning. Julian Posada, Centre for Ethics (video)

Humans Are Biased. Generative AI Is Even Worse. Bloomberg interactive article,

Artificial intelligence needs to be trained on culturally diverse datasets to avoid bias. The Conversation

Supporting Responsible AI: Discussion Paper Australian Government

Australian Human Rights Commission • Using artificial intelligence to make decisions: Addressing the problem of algorithmic bias • Technical Paper • 2020

UNESCO ChatGPT and artificial intelligence in higher education: quick start guide. 2023

Ethical impact assessment: a tool of the Recommendation on the Ethics of Artificial Intelligence. UNESCO 2023

Recommendation on the Ethics of Artificial Intelligence. UNESCO 2023

includes   "Policy Action Areas, which allow policymakers to translate the core values and principles into action with respect to data governance, environment and ecosystems, gender, education and research, and health and social wellbeing, among many other spheres"

AI Fairness 360: Understand and mitigate bias in ML models. an extensible open source toolkit that can help users examine, report, and mitigate discrimination and bias in machine learning models throughout the AI application lifecycle. It is designed to translate algorithmic research from the lab into the actual practice of domains as wide-ranging as finance, human capital management, healthcare, and education.