To celebrate International Women's Day, we take a look back over the past 12 months and highlight some of the women we've interviewed and featured, and who've written about their research on AIhub. Elizabeth Ondula is an Electrical Engineer from the Technical University of Kenya and is currently a PhD student of Computer Science at USC. She is a member of the Autonomous Networks Research Group, and co-organizes a bi-weekly reinforcement learning group, SUITERS-RL. Prior to academia, she had roles as a Software Engineer at IBM Research in Kenya, Head of Product Development of Brave Venture Labs and Co-lead of Hardware Research at iHub Nairobi. We interviewed Elizabeth as part of our series featuring the AAAI Doctoral Consortium participants.

This comes after a report by the Los Angeles Times detailed the movie's alleged funding ties to Russian billionaire Dmitry Rybolovlev. The toy maker also used International Women's Day, on March 8, to honor six other women recognized as trailblazers in STEM fields -- including German marine researcher and microbiologist Prof Dr Antje Boetius and Mexican electrical engineer and Science Show host Katya Echazarret. Meanwhile, Thor: Love and Thunder filmmaker Taika Waititi is reportedly working on a new Star Wars feature, in which he is also rumored to star.

For International Women's Day, Sophia Ignatidou, Group Manager for AI and Data Science, discusses how bias can arise in AI, the importance of addressing AI-driven discrimination and how we can all work towards equity in these systems. Her blog also appears on the International Women's Day website. As a woman who also became an immigrant, the concepts of equity and inclusion have always been close to my heart. My career began as a journalist, working for newspapers across both Greece and the UK. I wanted to have a more meaningful impact on the world and in the hope that a career change would enable this, I decided to study international relations and diplomacy.

International Women's Day is a time to celebrate the achievements of women and raise awareness about the ongoing struggle for gender equality. This year, we want to take a moment to highlight the contributions of women in the rapidly growing field of artificial intelligence. Artificial intelligence is a rapidly evolving field that has the potential to transform the world in many ways. It is also a field that is traditionally male-dominated, with women often underrepresented in leadership positions and technical roles. However, despite these challenges, there are many women making important contributions to the field of artificial intelligence. One of the biggest areas where women are making an impact in AI is in the development of ethical AI.

To celebrate International Women's Day, we take a look back over the past year and highlight some of the women we've interviewed, written about, chatted to, and featured on AIhub. Rose Nakasi is a Lecturer of Computer Science and a Research Scientist at the Makerere Artificial Intelligence Lab, in Makerere University, Uganda. She holds a PhD in Computer Science from Makerere University. Her research interests are in artificial intelligence and data science, and particularly in the use of these for developing improved automated tools and techniques for microscopy diagnosis of diseases like malaria in low-resourced but highly endemic settings. We spoke to Rose Nakasi about her work developing machine learning techniques to aid diagnosis of microscopically diagnosed diseases: Interview with Rose Nakasi: using machine learning and smartphones to help diagnose malaria.

On March 8, International Women's Day (IWD) we celebrate the political, socioeconomic and cultural achievements of women and the women right's movement towards gender equality. "Whilst the social and political rights of women are greater in some places than others, there is no country where gender equality has been achieved" says Mary Evans, professor at the London School of Economics and Political Science in her book "The persistence of gender inequality" (Polity Press 2017). In 2022 this situation has not changed either globally or at the European level as indicated in the EU Gender Equality index for 2020 where the average of the EU is 67.4% and the maximum is Sweden with 83.8%. Although there has been a clear commitment from the European Union on gender equality (specially in innovation and science), there are still structural forms of inequality that must be challenged and changed. It is not the aim of this article to analyse or comment on those, but to show what is being done and is available, especially in the European Union, for us to contribute as individuals and as a community towards gender equality in the field of robotics.

Join our #IWDHack2022 Hackathon inspiring young people into AI for Impact in celebration of International Women's Day 2022! About this event: Calling all teens aged 12-18! Join us for a 5 day hybrid(both physical and virtual) event of fun and learning about Artificial Intelligence. The dates are: 5th-6th March 2022 12th-13th March 2022 19th March 2022 Solve a real problem and change the world. What are you waiting for? Teens in AI are running our 5th Global Hackathon to celebrate International Women’s Day by inspiring young people aged 12-18 into AI. Our hackathons bring together young people, especially girls, across the world to learn the skills to drive innovation and a community that believes in them. For the fifth time, we are hosting the #IWDHack2022 Hackathon in Nairobi,Kenya: #IWDHack2022 #teensinainairobi #IWDHack2022Nairobi Teenagers from all over Kenya and Nairobi are invited to join this campaign that is on a mission to promote diversity in the tech industry. Join us to boost your understanding about AI, develop a diverse set of skills including project management, design & coding, and be guided by key industry mentors. For more information, please visit: https://www.teensinai.com/iwdhack2022/

For the International Women's Day on March 8, we bring you more useful resources to help more women enter and succeed in the field. The problems of bias in AI and Machine Learning have been receiving more well-deserved recognition recently, and having more women, and more diverse participation in the field will help all. WiMLDS non-profit organization, supporting and promoting women and gender minorities who are practicing, studying or are interested in the fields of machine learning and data science. The Growing Participation of Women in the Data Science Community We still have a long way to go before the gender representation becomes more equalized, but the field at large indicates hopeful trends about women working in the role or desiring to do so in the future. Resources For Women In Data Science and Machine Learning A comprehensive list of resources for Women in Data Science and Machine Learning, including a list of useful tech groups and published lists for finding Women speakers.

To celebrate International Women's Day, we take a look back over the past year of AIhub content and highlight some of our favourite articles, interviews, podcasts and videos, by, or featuring, women in the field. Falaah Arif Khan is an engineer/scientist by training and an artist by nature. She is currently Artist-in-Residence at the Center for Responsible AI at New York University. When we interviewed Falaah in 2020 she had just completed her first comic book, Meet AI. She has since teamed up with other AI researchers on other exciting projects.

This intersectional group is disproportionately affected by instances of bias in both the design and application of AI, and they are also leading the fight to make new technologies more equitable for everyone. Intersectionality – the proposition that race, class, gender and other individual characteristics intersect in a way that impacts how a person is viewed, understood and treated – opens possibilities for deeper thinking about how injustices occur in everyday life. Kimberlé Crenshaw, a professor of law at Columbia and the University of California, Los Angeles, coined the term in 1989 in'A Black Feminist Critique of Antidiscrimination Doctrine, Feminist Theory and Antiracist Politics'. Crenshaw's work was rooted in Critical Race Theory – the belief that the structure of law and society are intrinsically racist – and she saw the failure to recognise the intersection of race and sex as part of that structure. In that essay, Crenshaw argues that black women, through being both black and female, suffer specific forms of discrimination that black men or white women may not.