Saleh Afroogh

Ph.D. of Philosophy - AI Ethics

Senior RPC | AI Research fellow

UT-NSF Ethical AI

The University of Texas at Austin

I am an AI Research fellow at The University of Texas at Austin workin on UT-NSF Ethical AI program. I have received my Ph.D. in Philosophy (AI ethics and bioethics) from the State University of New York at Albany, and was a co-investigator at SUNY-IBM AI Research Alliance from 2021 to 2023. My research interests lie at the intersection of (individual & social) values, data, and machine learning, in different domains including engineering design, AI technology, medicine, bioethics, and climate change. My recent area of research involves responsible and trustworthy artificial intelligence. This includes topics in fairness, accountability, transparency, privacy, and explainability, in artificial intelligence. I am a painter in my leisure time.

Highlights

Selected Publications

Embedded Ethics for Responsible Artificial Intelligence Systems (EE-RAIS) in disaster management: a conceptual model and its deployment

A model of Embedded Ethics for Responsible Artificial Intelligence Systems (EE-RAIS), which is empowered by four platforms of embedded ethics—educational, cross-functional, developmental, and algorithmic embedded ethics—as well as four imperative metrics—ethical intelligence, legal intelligence, social-emotional competency, and artificial wisdom. .

Afroogh, Saleh, Ali Mostafavi, Ali Akbari, Yasser Pouresmaeil, Sajedeh Goudarzi, Faegheh Hajhosseini, and Kambiz Rasoulkhani. "Embedded Ethics for Responsible Artificial Intelligence Systems (EE-RAIS) in disaster management: a conceptual model and its deployment." AI and Ethics [ AI and Ethics ]

Tracing app technology: an ethical review in the COVID‑19 era and directions for post‑COVID‑19

A systematic literature review on the ethical considerations of the use of contact tracing app technology, in COVID-19 pandemic; and elaboration on seven essential ethical considerations—privacy, security, acceptability, government surveillance, transparency, justice, and voluntariness—in the ethical use of contact tracing technology design and application.

Afroogh, S., Esmalian, A., Mostafavi, A. et al. (2022) Tracing app technology: an ethical review in the COVID-19 era and directions for post-COVID-19.Ethics and Information Technology[ Ethics and Information Technology ]

Probabilistic theory of trust concerning artificial intelligence: can intelligent robots trust humans?

A novel probabilistic theory, which accounts for the four major types of AI-related trust: an AI agent’s trust in another AI agent, a human agent’s trust in an AI agent, an AI agent’s trust in a human agent, and an AI agent’s trust in an object (including mental and complex objects)

Afroogh, S. (2022). A probabilistic theory of trust concerning artificial intelligence: can intelligent robots trust humans?. AI and Ethics, 1-16.[AI and Ethics]

The Mirage of Motivation Reason Internalism

Proposing a third cause for motivation, some unconscious cause, other than cognitive or affective attitudes, which can still be a motivation maker or breaker. These unconscious causes, such as an underlying biological inclination or psychological bias, functions as motivation maker/breaker but not a reason maker/breaker.

Afroogh, S. (2022). The Mirage of Motivation Reason Internalism. The Journal of Value Inquiry, 1-19.[The Journal of Value Inquiry ]

COVID-19, Scarce Resources and Priority Ethics: Why Should Maximizers Be More Conservative?

The standard consequentialist version of the maximization principle, in COVID-19 crisis, is shown to yield intuitively immoral results. The deontological version of this principle is preferable because it can retain the merits of the standard consequentialist version without falling prey to its problems.

Afroogh, S., Kazemi, A., & Seyedkazemi, A. (2021). COVID-19, Scarce Resources and Priority Ethics: Why Should Maximizers Be More Conservative?. Ethics, Medicine and Public Health, 18, 100698.[Ethics, Medicine and Public Health]

Empathic Design in Engineering Education and Practice

In this paper, we argue that an inclusive and effective community resilience approach requires empathy as a missing component in the current engineering education and practice. We show that three kinds of empathy, namely cognitive, affective, and conative, play a central role in creating and sustaining an inclusive and effective approach to community resilience. We also propose a model to cultivate empathy in engineering education.

Afroogh, S., Esmalian, A., Donaldson, J. P., & Mostafavi, A. (2021). Empathic design in engineering education and practice: an approach for achieving inclusive and effective community resilience. Sustainability, 13(7), 4060.[Sustainability]

For a full list, have a look at my Google Scholar page.

Paintings

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