• In October, November & December 2020, Women At The Table & <A+> Alliance facilitated a series of webinars on important questions in AI.

     

    We looked at:  

    • The explosion of new technologies and the data revolution -- what happens next. 
    • How a human rights framework could and should be used to ensure inclusion and gender equality in algorithms we create
    • Why and where  algorithms can be gender and race biased
    • Practical tools and solutions that can be used to mitigate and proactively correct for real life gender, race, and class biases in AI
    • What a feminist vision for an inclusive digital future looks like
     
     

    Where does traditional data collection go wrong? From a feminist point of view, what would inclusive data collection look like Before, During, After data is gathered? What would a methodology be to create this? How can governments (and other actors) ensure / facilitate ?

     

    Speakers:

    • Nuria Oliver

    Commissioner for the President of the Valencian Region in Spain on AI and Data Science against COVID-19, Co-Founder and Vice-President of ELLIS, the European Laboratory for Learning and Intelligent Systems

    She holds a Ph.D. from the Media Lab at MIT. She is the first female computer scientist in Spain to be named an ACM Distinguished Scientist and an ACM Fellow. She is also a Fellow of the European Association of Artificial Intelligence and a IEEE Fellow. She is a member of the Academia Europaea and the fourth and youngest female member of the Spanish Royal Academy of Engineering. In 2018 she was named Engineer of the Year by the Professional Association of Telecommunication Engineers of Spain and she received an honorary doctorate from the University Miguel Hernandez

    • Lauren Klein,

    co-author, Data Feminism

    Lauren Klein is an associate professor in the departments of English and Quantitative Theory & Methods at Emory University, where she also directs the Digital Humanities Lab. Before moving to Emory, she taught in the School of Literature, Media, and Communication at Georgia Tech. Klein works at the intersection of digital humanities, data science, and early American literature, with a research focus on issues of gender and race. She has designed platforms for exploring the contents of historical newspapers, modeled the invisible labor of women abolitionists, and recreated forgotten visualization schemes with fabric and addressable LEDs. In 2017, she was named one of the “rising stars in digital humanities” by Inside Higher Ed. She is the author of An Archive of Taste: Race and Eating in the Early United States (University of Minnesota Press, 2020) and, with Catherine D’Ignazio, Data Feminism (MIT Press, 2020). With Matthew K. Gold, she edits Debates in the Digital Humanities, a hybrid print-digital publication stream that explores debates in the field as they emerge. Her current project, Data by Design: An Interactive History of Data Visualization, 1786-1900, was recently funded by an NEH-Mellon Fellowship for Digital Publication.

    • Emily Courey-Pryor,

    Executive Director, Data2x

    Emily Courey Pryor is Executive Director of Data2X, a dynamic platform hosted at the UN Foundation which promotes and enables the production and use of gender data to improve the lives of women and girls. Previously, Emily helped launch UN Foundation signature initiatives on women’s economic empowerment, and the Girl Up campaign. During her time at the UN Foundation and at the American Red Cross, she has also worked on global health and infectious disease, disaster response, and peace and security issues. Emily has also worked in corporate philanthropy, managing the corporate foundation and giving programs for Gilead Sciences. She received her MPH from the University of Michigan and BA from the University of Florida.

    • Katie Clancy,

    Networked Economies, International Development Research Centre, Canada

    Katie is a Program Officer at the International Development Research Centre (IDRC), where she focuses on AI, data and technology. She is a Program Officer focusing on issues relating to Technology and Innovation at Canada's International Development Research Centre. She is a seasoned advocacy and policy program manager with 10+ years of research management, international development, and communications experience in the non-profit and government sectors. Recognized for demonstrating a natural aptitude for empowering change. Professional focal points include AI, big data, work futures, international development, inclusion and diversity advocacy, immigration policy, multidisciplinary knowledge gathering and advocacy, report and publication development, process efficiencies, event coordination, research, strategic communications, fundraising, social media management, and project management. Delivering superior administration on the latter areas of expertise requires utilization of effective communication skills, as well as creativity, and team leadership to support optimal effects.

     

     

     

    What are the most current technical and design approaches to unbiasing algorithms? What methodologies and environments are needed to mitigate bias? What would algorithms or Automated Decision-Making systems that actively correct for bias (rather than only mitigate bias) look like?

    Speakers:

    • Nyalleng Moorosi

    Nyalleng Moroosi is a Software Engineer and Machine Learning Researcher with the Google AI team where she works on topics related to inclusion and fairness in machine learning. Before joining Google, Nyalleng was a senior Data Science researcher at South Africa’s national science lab, Council for Scientific and Industrial Research (CSIR). In her capacity at CSIR, she worked on projects ranging from: rhino poaching prevention to sentiment analysis of political parties on social media. She is an active member of Black in Artificial Intelligence group, and a founding member for the Deep Learning Indaba.

    • Elisa Celis

    Elisa Celis is an assistant professor in Statistics & Data Science at Yale University, and a co-founder of the Society and Computation Initiative at Yale. Her research focuses on problems that arise in the context of the Internet and its societal and economic implications. She approaches these problems by using both experimental and theoretical techniques. Her work spans multiple areas including social and computing crowdsourcing, data and network science, and mechanism and algorithm design with an emphasis on fairness and diversity in artificial intelligence and machine learning. Celis holds a Ph.D. in Computer Science and Engineering and an M.Sc. in Mathematics, both from the University of Washington. She is a leader in the LatinX in AI and Women in Data Science communities, has received a JP Morgan-Chase faculty award, and was selected as one of the "100 Brilliant Women in AI Ethics".

    • Paola Villarreal

    Paola is a self-taught systems programmer who, since 1998, has worked and played with all things “open” in governments, NGOs, and the private sector. Currently she is the Head of Data Science and Engineering for the National Council for Science and Technology in Mexico's Government. In October 2019 she was named by the BCC one of the 100 most influential women of the World. In November 2018, she was awarded as an MIT Innovators Under 35 LATAM, Visionary of the Year 2018 for her work at the intersection of Data Science and Justice. She was also a 2016-2017 fellow and 2017-2018 affiliate at the Berkman Klein Center for Internet and Society at Harvard University and a 2015 Ford/Mozilla Open Web Fellow working with the ACLU of Massachusetts. Her passion for open government and data, civic tech, and civil rights has fomented a curiosity to explore how and where technology, openness, and code can strengthen human rights.

     

     

     

    For the public & private sector on the sidelines of the UN Business & Human Rights Forum: How can private and public sector AI be leveraged to ensure AI and ADM are unbiased? How can procurement be used to incentivise inclusion and influence of feminists in the conception, budgeting, design, deployment, and monitoring of AI & ADM systems?

    Speakers:

    • Helani Galpaya

    CEO @LIRNEasia

    Helani Galpaya is CEO of LIRNEasia, a pro-poor, pro-market think tank working on digital and other infrastructure policy issues across the Asia Pacific. She researches and engages in public discourse on issues related to net neutrality, policy, and regulatory barriers in Internet access, e-Government, algorithms, bias, and inclusion. At present, she's researching how digitization creates new forms of formalization, exclusion, and inclusion under pandemic shutdowns. Helani serves on the Board of Editors of the Information Technology and International Development (ITID) journal, is on the Board of Directors of the Global Partnership for Sustainable Development Data (GPSDD), and a member of the Multistakeholder Advisory Group (MAG) of the UN Internet Governance Forum. She's currently serving on the Working Group on Innovation And Commercialization of the Global Partnership on AI (GPAI).

     

    • Carina Lopes

    Head @Digital Future Society Think Tank

    Carina Lopes works at Mobile World Capital Barcelona where she is the Head of Digital Future Society Think Tank. This is the research and deliberative arm of the Digital Future Society programme that convenes international experts to explore and propose actionable recommendations on the future of work, digital divides, data governance, and tech and climate emergency. Previously, she worked as d-LAB Programme Manager, responsible for its strategy and setup between 2016 and 2018. While at Citymart (2012-15) she led innovation projects with cities like Barcelona, Moscow, and Athens, local government teams in the US, South Africa, Japan, and Brazil. She holds a Ph.D. in Cultural Studies (2016) from the Goldsmiths College, University of London.

     

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