As AI and machine learning technologies continue to evolve and permeate various aspects of society, concerns about their ethical implications and the need for regulation are rising. Key challenges include ensuring fairness, transparency, and accountability in AI decision-making, protecting data privacy, and preventing misuse of AI technologies. Furthermore, a significant challenge is the development of regulatory frameworks that can keep pace with rapidly evolving AI technologies while fostering innovation and protecting public interest.
Our research is dedicated to championing Ethical and Regulated AI. We are developing AI systems and algorithms with built-in ethical considerations, such as fairness, transparency, and accountability. Additionally, we are exploring ways to protect data privacy and security in AI applications. To address the regulatory aspects, we are conducting interdisciplinary research, incorporating inputs from legal, social, technological, and policy perspectives to propose robust, adaptable, and comprehensive regulatory frameworks for AI. Our work also includes ongoing dialogues with stakeholders, policy makers, and the public to ensure the responsible development and use of AI.