Ethics, Diversity, and Inclusion in Artificial Intelligence

The ethics of AI involves both the behavior of machines and the humans who design, use, and treat artificially intelligent systems. Ethical challenges include biases in AI systems, privacy concerns, robot rights, threats to human dignity, liability, and the possible weaponization of AI. Discussions on the issues of diversity and inclusion in the AI field and its use occur regularly. Nevertheless, research has shown that AI systems perpetuate gender and racial biases. Another persistent issue is the lack of female representation in the AI field, which affects system designs, among other factors.

Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies

The Future of the Future

The Future of the Future: The Ethics and Implications of AI

A two-day conference was held at UCI in 2020 to discuss multiple AI issues, such as climate, war, medicine, and art.

Diversity and Inclusion for AI Ethics

Reconfiguring Diversity and Inclusion for AI Ethics

NICOLE CHI ET AL.

Data-intensive practices of surveillance and social sorting has been documented to produce discriminatory outcomes, which has led to harm and exclusion.

Gender Bias in Machine Learning

Gender Bias in Artificial Intelligence: The Need for Diversity and Gender Theory in Machine Learning

SUSAN LEAVY

Biases against women are embedded in the way language is used, and machine learning algorithms trained on biased text can perpetuate these issues. In one analysis of adjectives mentioned in this article, men were frequently described in terms of behavior, whereas women were described in terms of appearance.

Twitter taught Microsoft’s friendly AI chatbot to be racist in less than a day

The Verge

JAMES VINCENT

It took less than 24 hours for humans to corrupt a Microsoft chatbot called Tay, turning it into a racist and misogynist.

Semi-Supervised Prediction-Constrained Topic Models.

The Oxford Handbook of Ethics of AI

Oxford University Press

MARKUS D. DUBBER ET AL.

AI will challenge typical ethical concepts as alternate intelligences continue to improve.

3D Scene Reconstruction with Multi-layer Depth and Epipolar Transformers.

Recommendations to Guide the University of California’s Artificial Intelligence Strategy

University of California Presidential Working Group on AI. University of California

The University of California Presidential Working Group on AI has published guidance on developing mechanisms to operationalize the use of existing AI and the development of new applications at UC.