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Trustworthy AI Lab

While the emergence of Artificial Intelligence (AI) has opened up new horizons, it also raised unique challenges. In order to comprehend the true implications of AI, we must delve beyond mere innovation and strive to ensure that AI technology is utilized ethically, conscientiously, and in a manner that fosters sustainability. There is a pressing need to expand our awareness of the best practices that underpin the concept of Trustworthy AI.
The Trustworthy AI in Practice lab at the DY Patil College of Engineering, Akurdi Campus will be an interdisciplinary and international research community to evaluate and discuss the mindful use of artificial intelligence (#MUAI) as part of the Z-Inspection® Initiative. The Z-Inspection® approach is a validated assessment method that helps deliver ethically sustainable, evidence-based, trustworthy, and user-friendly AI-driven solutions. The method is published in IEEE Transactions on Technology and Society. The Lab connects academia, industry, and the community, including developers of AI solutions, students, end-users, researchers, and stakeholders, offering the possibility of training, and doing research.
Z-Inspection® is distributed under the terms and conditions of the Creative Commons (Attribution-NonCommercial-ShareAlike CC BY-NC-SA) license.
We closely collaborate with the international Z-Inspection® Initiative 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. Z-Inspection® is listed in the new OECD Catalogue of AI Tools & Metrics.

 Team - Trustworthy AI Lab

Scientific Advisors


Adarsh Srivastava



Manu Dev



Gokul Gawande



Ishwar Chavan



Sharmistha Chatterjee


Himanshi Allahabadi


Usha Rengaraju




Roberto V. Zicari
Z-Inspection Advisor

Divya Dwivedi
Legal Advisor



Dr. P. Malathi
(Principal, DYPCOE Akurdi)


Dr. S.S. Sarnobat
(Vice Principal DYPCOE, Akurdi)


Mrs. Jasmita Kaur
(Dean Placements)


Dr. Mrs. M.A Potey
(HOD Computer Engg.)


Dr. Vinayak Kottawar


Dr. Mrs. Preeti Patil
(HOD Information Technology)









Some existing Affiliated Labs link for reference

The Laboratory for Trustworthy AI at Arcada University of Applied Sciences (Helsinki, Finland).

The Ethical and Trustworthy AI Lab at Illinois Institute of Technology’s Center for the Study of Ethics in the Professions (Chicago, USA).

Ethical Assessment for Trustworthy AI at LEN.IA – AI & Digital Ethics Lab (Montréal, Québec, Canada).

Trustworthy AI Lab Venice at Venice Urban Lab (Venice, Italy).

Trustworthy AI Lab at the University of Copenhagen (Copenhagen, Denmark)

The Trustworthy AI Lab at L3S Research Center Leibniz, University Hannover (Hannover, Germany)

The Laboratory for Ethical and Trustworthy AI in Practice at the Swinburne University of Technology Sarawak Campus (Sarawak, Malaysia)

Trustworthy AI Lab at The Center for Bioethics and Research (CBR) (Ibadan, Nigeria)

Trustworthy AI Lab at the CIRSFID, Alma Mater Research Center for Human-Centered Artificial Intelligence, University of Bologna (Bologna, Italy)

Trustworthy AI Lab at the Imaging Lab, University of Pisa (Pisa, Italy)

Trustworthy AI Lab at the Goethe University Frankfurt (Frankfurt, Germany)

Trustworthy AI Lab at the Graduate School of Data Science, Seoul National University (South Korea)

Trustworthy AI for healthcare Lab, Tampere University (Finland)

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