Inioluwa Deborah Raji is a Ph.D. student at the University of California, Berkeley, and Mozilla fellow. She is interested in questions on algorithmic auditing and evaluation. In the past, she worked closely with the Algorithmic Justice League initiative to highlight bias in deployed AI products. She has also worked with Googleʼs Ethical AI team and been a research fellow at the Partnership on AI and AI Now Institute at New York University, working on various projects to operationalize ethical considerations in ML engineering practice.
Computer scientist and activist Inioluwa Deborah Raji, a Canadian-Nigerian, focuses on algorithmic audits, algorithmic bias, and AI accountability. Raji has previously conducted research on racial and gender prejudice in facial recognition technologies alongside the Algorithmic Justice League, Timnit Gebru, and Joy Buolamwini. She has previously served as a research fellow at the Partnership on AI and AI Now Institute at New York University, where she studied ways to operationalize ethical issues in machine learning engineering practice. She has also collaborated with Google’s Ethical AI team. She is now a Mozilla fellow and has been named one of the world’s leading young innovators by Forbes and MIT Technology Review.
2023
In 2023 Mozilla has released its financial results for 2022, reporting revenues of $593 million. A significant portion of these revenues, amounting to $510 million, comes from the multi-year agreement with Google to set the search engine as the default on Firefox. The partnership, therefore, proves once again to be crucial for Mozilla.
In addition to the Google agreement, Mozilla has diversified its revenue sources through new paid services such as VPN and password monitoring, and thanks to past acquisitions of Pocket and FakeSpot. Overall, non-Google-derived revenues have risen to $75 million. On the cost side, operating expenses increased to $425 million, driven by investments in software development, branding, and marketing.
Will be giving a talk at this workshop – I think it will be fun!
Evaluation is an incredibly important topic when it comes to social accountability – and with LLMs there's a lot of system properties that make traditional approaches difficult! Looking to shed some light on this. https://t.co/mCTfJhcCu1
Perhaps not the right time to say this but something that has been bugging me lately is the actual silliness of the EA mosquito net thing. I started reading dev econ papers & it's incredibly clear that the first papers chose to study that specific intervention out of convenience.
