Riyanka Roy Choudhury is an experienced legal tech strategist and legal designer who advises startups globally in implementing legal tech in their organizations. She is a CodeX fellow at Stanford Law School’s Computational Law Center, where she is developing legal automation applications to simplify law while also speaking, writing, and building a legal tech community. She also coleads the RegTrax and Machine-Generated Legal Documents projects at Stanford. Choudhury received an award as part of Facebook’s (Meta) Ethics in AI Research Initiative for the Asia Pacific in 2020 and was recognized as one of the 100 Brilliant Women in AI Ethics in 2022.
|RAI constrains AI-related innovation. Strongly disagree||“Responsible AI creates a guideline to mitigate AI risks. Responsible AI influences innovations to create a paradigm shift in AI algorithms to reduce the effect of replication of human decision-making in its machine learning at the core level. It results in growth and brings in social responsibilities for organizations in AI-related innovations. In my experience, I have seen that conventional AI methods overlook the need for complete information to deal with complexity that responsible AI accounts for in its guidelines. Since it plays a constructive role for AI to reach its full potential, responsible AI frameworks and systematic approaches will help machine learning to reach its full potential in future innovations. Backed by empirical studies, research organizations have been able to identify and describe key areas of responsible AI as a set of fundamental principles that are important when developing AI innovations. I strongly believe that when adopted universally, responsible AI can open up new opportunities leading to fairer and more sustainable AI.”|
|Responsible AI should be a part of the top management agenda. Strongly agree||“Responsible AI is an economic and social imperative. It’s vital that AI is able to explain the decisions it makes, so it is important for companies to include responsible AI as a part of the top management agenda. Having a regular agenda item for leadership meetings will ensure fair AI throughout the supply chain. This will make it easier for the businesses creating or dealing with AI technologies to tackle the unique governance challenges that AI creates — for example, privacy issues, and managing the data and complexity that ML/computational systems can bring in, like bias and discrimination.”|