Championing Ethical and Regulated AI

The challenge

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 response

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.

The goal

The aim of our research is to create AI systems and tools that are ethically sound and operate within well-defined, comprehensive regulatory frameworks. We anticipate contributing to a safer and more equitable AI landscape, where technologies are designed and used responsibly. Our work will provide clear guidelines for AI developers and users, helping them make ethical decisions and comply with regulations. By fostering transparency, accountability, and public trust in AI, we aim to ensure that these technologies continue to bring about positive societal impacts without compromising individuals' rights and privacy.

Connect and collaborate

We are looking for researchers, students, funding and partners to help take our research to the next level.