Jo Cribb’s Post

Women play a pivotal role in guiding AI toward accountability and inclusivity. Through interdisciplinary work and mentorship, women are shaping a future where technology advances in line with social responsibility. https://bit.ly/3ZEzkJ8 #WomeninResearch #MRX #MarketResearch #AI #Inclusion

AI gender equity meaning is likely to be one of the meanings that will dissipate into buzziness. Key important happenings informed by my recent research, as well as the past and current policy and practice discourses; 👉🏾 STEM has been predominantly male dominated industry, which poses a challenge in developing tools and services that cater for needs that are specific for women and girls, and/or consider their unique needs when creating and deploying AI solutions.  👉🏾 Systemic-sponsored unequal power relations, whether in professional fields or in communities, create barriers for women and girls, who have to depend on the good will and occupy the limited space created for them by those who own and control resources. 👉🏾 AI can discriminate women and girls by creating a barrier to unequal access to services, employment, financial assets, or better clinical decisions. 👉🏾 A narrow focus on skilling and/or increasing number of women in AI spaces, musks the nuanced power dynamics within those spaces. From my research this was observable in the way power and control of resources and design spaces is shared in AI development and deployment spaces(particularly in agriculture). 👉🏾 The policy tools are not helping this discourse either, as gender equity keeps getting obscured in broad statements like inclusivity, responsible AI, and ethical AI. Isn't it time we start critically deconstructing these terms and meanings one by one? 👉🏾 I want to re-use the words of Amartya Sen, in his coined word "Missing women", despite focusing on gender mortality. In the next few decades more than a billion women may be missing literary and/or figuratively, due to their narrowed space to harness the power of AI economies, as well as the deep seated unaddressed systemic issues that create barriers different layers of women in the society. Co-creating AI with communities, especially women calls for important terms and meanings to be co-defined, in policy and practice, while keenly focusing on the power dynamics that may limit some groups from participating in these discussions. She doesn't have to watch from the margins, she can be part of the conversation. #ai #genderequity #agtech #cocreating #aiethics #responsibleai

The Conversation has a piece discussing the impact of artificial intelligence (AI) on many jobs and outlining that while women on average are less interested in AI using it could help them advance at work https://lnkd.in/eXmmkVB7. #artificialintelligence #equality #women #futureofwork #transformation #theconversation

The integration of AI in the digital economy is inevitable and potentially transformative. However, it must be approached with a conscious effort to promote gender equality. Here are some key points from a recent article on the implications of AI for women in the digital economy: 1. Gender Disparity in AI: Women account for only 22% of the workforce in the AI sector globally. This underrepresentation exacerbates the exclusion of women's perspectives in AI development and implementation. 2. AI's Impact on Employment: AI is increasingly taking over roles traditionally held by women, such as customer service and brand ambassadorship, often using female personas for AI systems. This not only reduces job opportunities but also perpetuates harmful gender stereotypes. 3. Need for Inclusive AI Development: Increasing women's participation in AI development is crucial. Diverse teams can bring varied perspectives, leading to more equitable and inclusive AI solutions. 4. Bias Audits for AI Systems: Implementing regular bias audits can help identify and mitigate gender biases in AI systems, ensuring fairer outcomes for all users. 5. Support Programs for Affected Workers: Creating support programs for workers displaced by AI can help them transition to new roles, ensuring that the digital economy remains inclusive and equitable. By addressing these issues proactively, we can harness the benefits of AI while ensuring that the digital economy is a space where everyone, regardless of gender, can thrive. What steps can we take today to ensure a more inclusive digital economy tomorrow? #AI #DigitalEconomy #GenderEquality #Inclusion #TechForGood

Great article from our Strategey Director Sarah Sandberg perfectly framing the potential pitfalls of using AI without human intervention, intelligence and experience driven interpretation. Our position on AI is it accelerates and elevates the creative process, enabling our human specialists to have more time and headspace to be more informed and value-additive. HI x AI = Intelligent Progress.

'As of 2022, only one in four researchers publishing on AI worldwide was a woman, highlighting the severe gender gap in AI research. While the number of publications co-authored by women is increasing, women still contribute to only about half of all AI publications compared to men.' (https://lnkd.in/gshSvfgm) On average, every day this year has seen the word ‘AI’ published in 1500 articles across Australia. It has become a common phrase and discussion point. AI is trending in a whole new way… But yet again, there’s a minority within the ‘next big thing’; and it's women. Across this trending topic, only a quarter were written by women, and only half co-authored articles included a woman. This aligns with greater STEM representation, with a small 15% of STEM careers being held by women in Australia. As much as I’m an advocate for broadening the scope around what a ‘tech job’ means, this shouldn’t preclude women from having much better representation within the current (rather narrow) definition. We need to see both happen, at the same time in order to see the full potential of these advancements. Today I asked generative AI to create a team picture composed of a doctor, a mathematician, a scientist, a technician, an engineer and an AI expert. Only two were women, and only one was in a lab coat. I do think it's cause and effect: when you have women in the development of such programs, they will advocate for the needs of their demographic. I think of women’s health, and how the treatment of women’s health only started seeing real developments once female doctors and researchers stepped into the field. In the same way, women in AI will ensure the future of AI sees the benefit of all people, including women. So how can we build the pathways for women to enter the realms of AI? Would love to hear your thoughts in the comments below! #artificialintelligence #AI #research #WomenInTech #STEMWomen

The gender gap in AI/ML is a serious issue that affects innovation and fairness. With less than 22% of AI professionals being women, we're missing out on diverse perspectives that could shape more inclusive technologies. It's time for women to take up space in AI/ML roles, conferences, and leadership positions. If you love working with data, AI/ML might just be the next step for you. #WomenInTech #AI #ML #DiversityInTech

Research shows that women are more likely than men to consider societal, ethical and political implications in their work on #AI – one of the many reasons we should be minding the gender gap in #AI. I am a firm believer that when diversity of thought is brought to the table, we are better able to shape and face the challenges of the future. Cheers to empowering women to be at the forefront of the AI revolution. #GenderEquality

There is a big gender gap related to AI skills --> (women 29% / men 71%). AI will have an impact on every aspect of our lives, which presents a chance for women to advance their skills!  https://lnkd.in/djEbxhUA