Today, AI has transformed all aspects of human life and become an integral part of our daily lives, permeating industries such as healthcare, law enforcement, and manufacturing. As AI continues to advance in both application and sophistication, we can only imagine the potential impacts on our lives and society as a whole. However, it is essential to recognize that, like any emerging technology, AI carries its own risks, such as bias issues. Therefore, there is a need for research into techniques for designing responsible AI (or AI systems) in order to maximize the benefits of AI and minimize its potential risks. By doing so, we can ensure that AI remains a positive force that benefits humanity in the most ethical and responsible manner possible.
Responsible AI refers to the practice of developing and deploying AI (or AI systems) that are responsible, meaning that they adhere to (or align with) human and societal values and norms, such as being ethical, fair, and transparent. Responsible AI contributes to the development of safer and more reliable AI (or AI systems) that can be utilized without concern for their negative effects, thereby facilitating the optimal use of AI's capabilities.
Our research on responsible AI focuses on addressing the multifaceted challenges of AI by understanding the implications of AI, such as AI biases in various sectors such as healthcare, and developing new (or improving existing) technologies or approaches for AI to mitigate or minimize the negative impact.
Sustainable Development Goals:
Our research on responsible AI aligns with the following Sustainable Development Goals of the United Nations: