Toward an Inclusive Artificial Intelligence: The Ms. Q&A With Gabriela de Queiroz

Many people see language models, like ChatGPT and other new machine learning technologies like Meta’s Make-A-Video, as the beginning of the end. And as a woman in tech—a field dominated by men—Gabriela de Queiroz has reason to be skeptical of AI.

But when de Queiroz talks about her efforts to make artificial intelligence more inclusive, she takes a different approach to understanding the ever more influential and pervasive role of AI in contemporary societies.

Cecilia Aragon: Women in Data Science Breaking Down Binaries and Taking a Human-Centered Approach

While the total number of women receiving college degrees increases, what hinders the expansion of diversity in the data science field? To address this persistent gap, women working in the fields that feed into data science have been working to change the circumstances that hinders women from pursuing work in the field, as well urging society to consider the harmful consequences of a field which has historically excluded the voices of women.

Dr. Cecilia Aragon is a major contributor to these ongoing discussions. She is an award-winning author, airshow pilot and professor—the first Latina to earn the rank of full professor in the College of Engineering at the University of Washington in its 100-year history. Her interdisciplinary methods, active inclusion of diverse students with diverse academic backgrounds, and perceptive research questions, all challenge the traditional expectations of data scientists and question the false assumptions of data science.

Women Data Scientists of the World, Unite!

The Women in Data Science Conference (WiDS) was born of a problem: How can we remove the barriers to success that traditionally bar women from accessing the increasingly critical field of data science? To Margot Gerritsen, professor at Stanford University and co-founder and co-director of WiDS Worldwide, ensuring women can see other women in the field will help them destroy the myth that data science is a field exclusively for men

The WiDS conference will be held on March 7, 2022—the day before International Women’s Day. Tune into WiDS Worldwide Livestream throughout the day to watch keynotes, tech talks, panel discussions and meet-the-speaker interviews.

Care For the Caregivers: COVID Has Transformed Academic Medicine. How Can We Support Teaching Physicians?

Clinical scientists often juggle research responsibilities, teaching and mentoring students, and caring for patients, along with their family, home and childcare responsibilities outside of work. The demands made of them only grew during the pandemic, especially for women scientists and scientists of color.

The COVID-19 Fund to Retain Clinical Scientists (or FRCS) grant is made up of $12.1 million awarded to 22 medical schools across the United States, designed to support caregivers in the workplace.

Dr. Andrea Ghez, Only the Fourth Woman to Win the Nobel Prize for Physics, Shows the Rarity of High-Achieving Women in Science

Of more than 900 Nobel Prize laureates, 866 have been men, while only 56 have been women. Only 16 Nobel prize winners have been Black.

Last month, Ms. had the opportunity to speak with one of these women: Dr. Andrea Ghez, who won the 2020 Nobel Prize for Physics. As only the fourth woman (all of them white) to win the award for physics, Ghez understands the Nobel also confers on recipients the responsibility of serving as an international role model for girls contemplating careers in science and for women scientists.

Women in Science Wikipedia Edit-a-Thon Helps Close Gaps in Women’s History

Despite educators’ tendency to discourage students from using Wikipedia, Wikipedia is so much more than a source or a final destination. It’s a portal into other sources. Adding to and enhancing that portal to include knowledge and perspectives hitherto suppressed or marginalized is an important political project.

Join the Women in Science Wikipedia edit-a-thon on Monday, Aug. 31, from 12p.m.-2p.m. ET—part of an effort to increase the representation of women on Wikipedia and to close the editor and content based gender gaps on the site.