Areas of Thematic Research
By focusing on the key research areas of AI ethics by design, privacy-enhanced analytics, and AI accountability, the unique interdisciplinary structure of RAI allows for an unbiased approach to the responsible development of AI without undue sector influence and with relevance to government, industry and civil society stakeholders.
With AI’s potential to impact millions of people, it is imperative for developers and implementers to understand its ethical implications regarding privacy, transparency and bias. AI ethics by design research enables industries to shape their processes, guidelines and governance structures needed to achieve responsible AI.
Key researchers include Robin Cohen, external link, Maura Grossman, external link, Reihaneh Rabbany, external link and Joanna Redden, external link.
Research in this area allows for personalized responsible AI applications that enhance both user experience and society and achieve stakeholders’ goals. In addition, this research offers accelerated safe data collection and collaboration and maximized data value without compromising consumer privacy.
Key researchers include Benjamin Fung, external link, Sébastien Gambs, external link, Qinmin (Vivian) Hu and Zack Marshall, external link.
With the proliferation of AI applications in high-stakes decision-making contexts, there is an urgent need to address AI accountability questions and establish AI’s trustworthiness. AI accountability research allows future AI experts to collaborate across disciplines to recognize and eliminate societal threats, challenges and negative impacts of AI innovations.
Key researchers include Faezeh Ensan, Frauke Zeller, Robin Cohen, external link and Maura Grossman, external link.