Snigdha Sharma
AI Policy Researcher
Snigdha works as an AI Policy Researcher with a distinct focus on developing AI frameworks and guidelines that align with the principles of safety, security, and trustworthiness. As an AI Policy Researcher, she is responsible for developing and advocating for policies that ensure ethical, safe, and responsible use of artificial intelligence technologies in housing and financial services. This role involves conducting in-depth research, analyzing the impact of AI on society, and collaborating with stakeholders to create frameworks that balance technological innovation in housing with societal well-being and rights.
Her journey began as a Tech Equity Analyst in the Responsible AI team, where she conducted comprehensive research on regulations and laws pertinent to algorithmic systems, and spearheaded projects emphasizing Privacy, Security, Fairness, Explainability, and Interpretability within the Responsible AI ecosystem. Her role also involved leading the department’s efforts in environmental impact assessments of technology, and overseeing auditing services based on the organization’s Purpose, Process, and Monitoring (PPM) framework.
Elevated to Senior Tech Equity Analyst, Snigdha continued to lead research on regulations and laws affecting algorithmic systems, machine learning solutions, and AI systems. She played a pivotal role in ensuring the fairness and equity of AI solutions developed or reviewed by the Responsible AI team. Her leadership extended to various work streams focusing on core aspects of Responsible AI, including Privacy, Security, Fairness, and Explainability. Her extensive experience in overseeing algorithmic auditing services and her commitment to minimizing the environmental impact of technology have been instrumental in her transition to an AI Policy Researcher, where she now aims to shape policies that responsibly govern AI technologies.