Background: Despite significant progress women have made to make workplace gender discrimination illegal, the world still faces gender inequality, especially in the workplace. With AI on the rise, a hidden issue emerges: women are overlooked in a future shaped by AI, as Generative AI is not ruled by law. It tends to reproduce human biases, particularly against women. AI, powered by biased datasets, can perpetuate gender stereotypes and inequalities, affecting women's representation and opportunities, and regressing years of progress for women in the workplace. Data from MIT and UNESCO state that AI image-generating tools think 97% of professionals are men. Our client, Aurora50, a leading Diversity, Equity, and Inclusion (DEI) Impact Agency in GCC, that promotes inclusive workplaces and diverse leadership, aimed to combat this bias, not just in real-world workplaces but also in the virtual world. The Idea/The Execution: Fixing the bAIs. We used AI to fix AI itself. We turned the tables on AI using its own tools—Midjourney, DALL-E2, and Stable Diffusion. We created a huge databank of inclusive and diverse images of women in various professions. We removed gender from their metadata (file names, tags, and descriptions) and added this powerful database to fixingthebias.com, Our website, fixingthebias.com, became the hub, disseminating these game-changing images to stock image banks, social media, and the open datasets used to train AI. Crafting over 80,000 inclusive and diverse images of women, we injected diversity directly into AI's veins and started teaching AI that all professionals can be women, too. Results: Fixing the bAIs didn't just address the problem but created a long and lasting solution. The campaign contributed to passing of first regulation on Artificial Intelligence, the EU's AI Act, which deems bias in datasets unacceptable, adopted by 52 countries at the EU parliament. Fixing the bAIs is being used as a benchmark to fix gender bias in AI at world summits and councils, such as the Council of Europe and CAI. Acknowledged by AI scientists at Ceimia and Mila (largest concentration of deep learning academic researchers globally), the project has inspired white papers affirming its significance. Its impact extends to educational institutions worldwide, showcased at schools and universities. With a global army of supporters, we birthed a perpetual community, a lifelong generator of images on our discord channel, dismantling AI bias, one prompt at a time. Nine datasets, including Liaon 5B (the world's biggest openly accessible image-text dataset) have undergone training. We also set a World Record for the most pledges received for a gender equality in the workplace campaign in 24hours. Campaign reached 4.4 billion people and earned $4.5 million in media, campaign has gained substantial impact and recognition. Target Audience Our campaign targeted influential figures - key figures in the AI industry, policymakers, AI developers, tech leaders, organizations, media, societal representatives - Like KAY FIRTH-BUTTERFIELD World's First Chief AI Ethics Officer | Executive Director of governance of AI JANA NOVOHRADSKA UNESCO Representative | Gender Equality Rapporteur for AI, human rights, rule of law, and many others who could spark meaningful change. We directly addressed this issue with key decision-makers and women in prominent positions across various professions. By showcasing how AI image-generating tools failed to represent them, we sparked a crucial conversation about the impact of technology on gender equality. Alarmed by the implications, they became advocates, spreading awareness, educating others and encouraged image generation. Our approach empowered individuals to become advocates, fostering meaningful dialogue and driving real change through direct action and education. Our campaign initiated a global conversation.