We contribute to science
For a sustainable future
The AI Transparency Institute is engaged in research activities that promote the achievement of the UN Sustainable Development Goals.
We care about you. We care about the nature. We contribute to science for a sustainable future for today and future generations.
We are grateful to the Montreal AI Ethics Institute for showcasing our research on AI sustainability.
Our priorities
Artificial intelligence
Circular Economy
Climate Change
Digital Health
AI
Art
AI Art
We offer an access to a strong network of researchers in AI and Machine Learning, a unique opportunities for networking and connecting with our affiliated experts for stimulating conversations and many more.
When you become a member you will benefit from a number of advantages, of which one is our self-assessment test. Join us to help pioneer responsible AI.
We have analyzed publicly available Twitter data to provide a glimpse into the public sentiments around corporate responsibility. We seek to use public sentiments as an additional metrics to assess corporate responsibility.
As a case study, the following plot shows the public sentiment –raising from -1 (negative sentiment) to +1 (positive sentiment)– for Google for the 1 year period of 2020-2021. The throughs and peaks are indicative of notable events. In this case the firing of vital figures in the AI Ethics team of Google.
Credit: Kirtan Padh
CareAI Indices
Research behind our careai indices
Below are the research articles behind our CareAI Indices.
Thelisson, E., & Verma, H. (2024). Conformity assessment under the EU AI act general approach. AI and Ethics, 4(1), 113-121. Link.
Responsible AI
Thelisson, E. (2017). Towards Trust, Transparency and Liability in AI/AS systems. In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI), 5215-5216. Link.
Digital Responsibility
Thelisson, E., Morin, J. H., & Rochel, J. (2019). AI Governance: Digital Responsibility as a Building Block: Towards an Index of Digital Responsibility. Delphi, 2, 167. Link.
Anti-Trust
De Marcellis-Warin, N., Marty, F., Thelisson, E., & Warin, T. (2022). Artificial intelligence and consumer manipulations: from consumer’s counter algorithms to firm’s self-regulation tools. AI and Ethics, 2(2), 259-268. Link.
Digital Health
Thelisson, E. (2021). AI Technologies and Accountability in Digital Health. Cambridge Bioethics and the Law Series. Cambridge University Press. Link.
ESG Digital and Green
Thelisson, E., Mika, G., Schneiter, Q., Padh, K., & Verma, H. (2023). Toward responsible AI use: Considerations for sustainability impact assessment. arXiv preprint arXiv:2312.11996. Link.