Ethical and Trustworthy AI Lab

The Ethical and Trustworthy AI Lab at Illinois Institute of Technology’s Center for the Study of Ethics in the Professions is an interdisciplinary group of researchers interested in the social and ethical implications of Artificial Intelligence (AI).

The group investigates philosophical, ethical, and social aspects of AI including trustworthiness and the question of what it is that makes AI uses ethical, just, and trustworthy; the roles of ethics codes, ethical guidelines, and policy-making in the regulation of AI technology; as well as AI applications in agriculture and medical contexts. 

We seek to involve stakeholders from all fields, such as computer science, technology, engineering, philosophy, social sciences, practitioners, and students, in an interdisciplinary reflection on the ethical uses of AI.

We closely collaborate with the AI@IllinoisTech initiative, in particular its AI Ethics Working Group (AIEWG) and the international Z-Inspection® network. The Z-Inspection® assessment method for Trustworthy AI is an approach based on the Ethics Guidelines for Trustworthy AI by the European Commission High-Level Expert Group on Artificial Intelligence.

Lab members

Elisabeth Hildt (head)
Ori Freiman, University of Toronto
Kelly Laas
Roberto V. Zicari, Z-Inspection® initiative


Mirghaderi, L., Sziron, M., Hildt, E.: "Investigating user perceptions of commercial virtual assistants: A qualitative study," Frontiers in Psychology 13:944714, 2022. doi: 10.3389/fpsyg.2022.944714.

Zicari, R.V., Amann, J., Bruneault, F., Coffee, M., Düdder, B., Hickman, E., Gallucci, A., Gilbert, T.K., Hagendorff, T., van Halem, I., Hildt, E., Kararigas, G., Kringen, P., Madai, V.I., Mathez, E.W., Tithi, J.J., Vetter, D., Westerlund, M., Wurth, R.: "How to Assess Trustworthy AI in Practice." 2022.

Allahabadi, H., Amann, J., Balot, I., Beretta, A., Binkley, C., Bozenhard, J., Bruneault, F., Brusseau, J., Candemir, S., Cappellini, L.A., Chakraborty, S., Cherciu, N., Cociancig, C., Coffee, M., Ek, I., Espinosa-Leal, L., Farina, D., Fieux-Castagnet, G., Frauenfelder, T., Gallucci, A., Giuliani, G., Golda, A., van Halem, I., Hildt, E., Holm, S., Kararigas, G., Krier, S.A., Kühne, U., Lizzi, F., Madai, V.I., Markus, A.F., Masis, S., Mathez, E.W., Mureddu, F., Neri, E., Osika, W., Ozols, M., Panigutti, C., Parent, B., Pratesi, F., Moreno-Sánchez, P.A. Sartor, G., Savardi, M., Signoroni, A., Sormunen, H., Spezzatti, A., Srivastava, A., Stephansen, A.F., Theng, L.B., Tithi, J.J., Tuominen, J., Umbrello, S., Vaccher, F., Vetter,D., Westerlund, M., Wurth, R., Zicari, R.V.: "Assessing Trustworthy AI in times of COVID-19. Deep Learning for predicting a multi-regional score conveying the degree of lung compromise in COVID-19 patients", IEEE Transactions on Technology and Society, DOI: 10.1109/TTS.2022.3195114, 2022.

Laas, K., Davis, M., Hildt, E. (eds): Codes of Ethics and Ethical Guidelines. Emerging Technologies, Changing Fields, Springer, 2022.

Zicari, R.V., Ahmed, S., Amann, J., Braun, S.A., Brodersen, J., Bruneault, F., Brusseau, J., Campano, E., Coffee, M., Dengel, A., Düdder, B., Gallucci, A., Gilbert, T.K., Gottfrois, P., Goffi, E., Haase, C.B., Hagendorff, T., Hickman, E., Hildt, E., Holm, S., Kringen, P., Kühne, U., Lucieri, A., Madai, V.I., Moreno Sánchez, P.A., Medlicott, O., Ozols, M., Schnebel, E., Spezzati, A., Tithi, J.J., Umbrello, S., Vetter, D., Volland, H., Westerlund, M., Wurth, R.: "Co-design of a Trustworthy AI System in Healthcare: Deep Learning based Skin Lesion Classifier", Front. Hum. Dyn., 3:688152, 2021. doi: 10.3389/fhumd.2021.688152.

Hildt, E.: "What Sort of Robots Do We Want to Interact With? Reflecting on the Human Side of Human-Artificial Intelligence Interaction", Frontiers in Computer Science 3:671012, 2021. doi: 10.3389/fcomp.2021.671012.

Schiff, Daniel, Justin Biddle, Jason Borenstein, Kelly Laas. (2021). “AI Ethics Documents in the Public, Private, and NGO Sectors: A Review of a Global Document Collection.” IEEE Transactions on Technology and Society. 2(1): 31-42. doi: 10.1109/TTS.2021.3052127

Zicari, R.V., Brusseau, J., Blomberg, S.N., Christensen, H.C., Coffee, M., Ganapini, M.B., Gerke, S., Gilbert, T.K., Hickman, E., Hildt, E., Holm, S., Kühne, U., Madai, V.I., Osika, W., Spezzati, A., Schnebel, E., Tithi, J.J., Vetter, D., Westerlund, M., Wurth, R., Amann, J., Antun, V., Beretta, V., Bruneault, F., Campano, E., Düdder, B., Gallucci, A., Goffi, E., Haase, C.B., Hagendorff, T., Kringen, P., Möslein, F., Ottenheimer, D., Ozols, M., Palazzani, L., Petrin, M., Tafur, K., Tørresen, J., Volland, H., Kararigas, G.: "On Assessing Trustworthy AI in Healthcare. Machine Learning as a Supportive Tool to Recognize Cardiac Arrest in Emergency Calls", Front. Hum. Dyn 3:673104, 2021. doi: 10.3389/fhumd.2021.673104.  

Hildt, E., Laas, K., Sziron, M.: "Editorial: Shaping Ethical Futures in Brain-based and Artificial Intelligence Research", Science and Engineering Ethics 26(5): 2371-2379, 2020.

Hildt, E.: "Artificial Intelligence: Does Consciousness Matter?", Frontiers in Psychology 10:1535, 2019, doi: 10.3389/fpsyg.2019.01535.

Recent Webinars

Artificial Intelligence and Ethics in Agriculture

Held on November 15, 2021, this webinar explored questions related to the ethical use of AI in agriculture with speakers William Aderholdt and Gabriel Thomas. 

Link to Youtube

Increasing Trust in Artificial Intelligence: Approaches and Limitations

Held on September 22, 2021, this webinar explored questions related to trust in AI with speakers Jason Borenstein, Hille Haker, and Roberto Zicari. This event was part of the Ethics in AI webinar series.

Link to Youtube

Artificial Intelligence and Law

A recording of a talk given by Dr. Roberto V. Zicari for the course of Dr. Seongwook Heo at the Seoul National University Law School on March 30, 2022. The English section of the talk begins at minute 27 (the video will start automatically at that point.) This talk introduces the EU Framework for Trustworthy AI, his research on assessing trustworthy AI, and the EU AI Act.

Link to Youtube