Artificial intelligence and data privacy - the importance of a diverse engineering and technical workforce

Artificial intelligence (AI) and machine learning are amazing technology which will help manage large sets of data and support decision making and so many applications which will be developed for the benefits of society. The approach taken in relation to artificial around the world is dependent on the culture, perceptions of regulation, privacy, and data management have an impact on the development of tools enabled thanks to AI. In addition, the awareness that the technology can lead to a bias can be addressed by ensuring a diverse team of engineers, coders and developers, who will develop these tools. This session will draw on the work of a task force which was developed between the University of California Berkeley and the French EPF School of Engineers. By allowing a mix team of students and cultures, this task force was able to reflect on the ethics of AI, what constitutes good practices in assembling a trustworthy set of data. It will also review how engineers can be encouraged to think about the impact of their work in AI. Traceability, security, accuracy of the data sets will be discussed. The importance of a robust process which is transparent will also be discussed, and the audience will be invited to participate in the discussion.  Speakers will include students, start-upers, ministers, who will share their insights and discuss with the audience. The workshop is organised by the International Women in Engineering and Science (INWES), and the panel is a mix of women and men who are sensitive about the importance of diversity and its impact on the AI process. We look to exchange with all of you and gather ideas on how to ensure the awareness of the engineers, and the road map that will allow the AI technology to be used t develop tools for which any bias will be eliminated.