If it’s not diverse, it’s not ethical
The Alan Turing Institute’s Women in Data Science and AI project that launched earlier this year highlighted a striking scarcity of quality data on the gendered nature of data science and AI careers. Findings did reveal extensive disparities between women and men in skills, status, pay, seniority, industry, job, attrition and educational background. But as AI becomes ubiquitous in everyday life, how can such a lack of diversity be ethical? What needs to change to ensure that all of society reaps the benefits of technological advances like AI?