We share the broader concerns related to AI science such as privacy infringement, workplace displacement, algorithmic bias against minoritized groups, equitable access to education technology and tech weaponization, among other things.
We use our ethical imaginations to consider what AI should do rather than what it can do in our work, so we can mitigate potentially harmful consequences of AI. We also work with our diverse partners at every step of the way to address the ethical considerations related to our work.
Ethics and Equity
Equity is our guiding principle in all of our research practices. We believe that AI researchers must develop equity-focused practices, which include noticing, decoding, and deconstructing bias and discrimination – including algorithmic bias. We also participated in the Racial Equity Challenge for Institutes 2021 to learn more about how we can be anti-racist when developing our work.
Ethics and Equality
We seek to disrupt forms of systemic inequality by being fully accountable to historically marginalized communities. We include the voices of contributors from historically underrepresented groups throughout the research process so that they shape the agenda of our inquiry. This is done through the development and maintenance of long-term partnerships with grassroots organizations who specialize in drawing out diverse community perspectives on a range of social issues.
Our Culture of Ethics
We recognize that best practices in AI ethics is an evolving subject. Our approach combines both formal training in ethics with steps that foster the culture of ethics within our Institute. This helps our team to develop knowledge about ethics in AI, but also fosters a scientific culture in which ethics considerations are central and not a mere afterthought.