全学自由研究ゼミナール　(Artificial intelligence and society AIと社会を考える)

In the last few years, we have seen a remarkable advancement in artificial intelligence (AI). This technology has seeped into our daily lives in both visible and invisible ways. The algorithm used in machine learning and deep learning are designed by humans and they often reflect the societal assumptions about a population. The data fed into these algorithms are also collected by humans and are not untainted, objective data. These data often reflect unconscious biases about gender, age, race and ethnicity, for instance. This course offers the opportunity to think about how bias can be embedded in data, the ramifications of these bias, and methods to mitigate the perpetuation of inequity in AI.
The learning objectives of this course is as follows:
-Understand AI and its developments as it is discussed in the humanities and social sciences
-Nurture the ability to understand data with a critical perspective.
-Deepen one’s understanding of stereotypes and unconscious bias embedded in data bias
-Deepen one’s understanding of the inequities that exist in society and how it can be embedded in AI
-Enhance one’s thinking on strategies to correct data bias