Social and Behavioral Sciences Commons^™

Ethical Ai Development: Evidence From Ai Startups, James Bessen, Stephen Michael Impink, Lydia Reichensperger, Robert Seamans

Faculty Scholarship

Artificial Intelligence startups use training data as direct inputs in product development. These firms must balance numerous trade-offs between ethical issues and data access without substantive guidance from regulators or existing judicial precedence. We survey these startups to determine what actions they have taken to address these ethical issues and the consequences of those actions. We find that 58% of these startups have established a set of AI principles. Startups with data-sharing relationships with high-technology firms; that were impacted by privacy regulations; or with prior (non-seed) funding from institutional investors are more likely to establish ethical AI principles. Lastly, startups …

Latinx Millennials Won’T Surrender To Tech-Industry Bias, Josefina F. Bruni

Capstones

Organizations like Techqueria, which seek to improve the odds of Latinx in the tech labor market, have been popping up since 2014 among minorities and other marginalized social groups, with names like LGTBQ in Tech, Blacks in Technology, Latinas in Tech and Lesbians Who Tech. They’re free, fluid and informal, with members constantly exchanging information and support. While they offer many opportunities for face-to-face gatherings, they are powered by social media.

Some of these collective efforts are no more than Slack workspaces. Others cross multiple platforms or even have web pages. Some have even incorporated. But all …