Join us on AI and Justice: Redefining the Future, where we dive into the high-stakes world of artificial intelligence and explore a groundbreaking shift toward ethical technology. As OpenAI and Google push the boundaries of AI in their quest to dominate the digital search landscape, a new contender, Justice AI, emerges with a revolutionary vision: the Decolonial Intelligence Algorithmic (DIA) Framework. This isn't just a tech story—it's a powerful movement toward AI that is fair, transparent, and anchored in social justice.

Each episode, we unpack how Justice AI's DIA Framework challenges the status quo by prioritizing decolonial and anti-oppressive values over market dominance, offering a transformative approach to digital knowledge. We’ll explore why leading tech giants, despite their innovations, fall short on ethics and how Justice AI’s mission is set to change the future of technology for everyone. If you're curious about AI's role in shaping global narratives and what true ethical technology looks like, this podcast is for you.

Prepare for thought-provoking discussions, expert interviews, and an exploration of how AI can—and should—be a force for good.

In this episode, we dive deep into the intersection of activism and artificial intelligence, exploring the powerful and concerning rise of killer robots and deepfake technology. How are these innovations shaping our future? We examine the potential threats posed by autonomous weapons and AI-generated misinformation, along with the ethical challenges faced by governments and corporations in regulating these technologies. Featuring activists on the front lines, we also discuss how AI can be decolonized to serve justice, dismantle systemic oppression, and protect marginalized communities. Tune in for a crucial conversation on the future of AI and activism.

In this powerful episode, we explore Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification, a groundbreaking study authored by Joy Buolamwini and Timnit Gebru. This work shines a spotlight on how AI systems, widely used in facial recognition, disproportionately misclassify women of color. Using an intersectional framework, Buolamwini and Gebru reveal the deep flaws in commercial AI systems, with error rates of up to 34.7% for darker-skinned women, while lighter-skinned men show error rates as low as 0.8%. Their research exposes the urgent need for more inclusive and ethical AI design, and it has sparked a global conversation about bias in technology.

Join us as we discuss how this research is pushing tech companies to rethink algorithmic fairness and accountability, and the steps we can take to build a more equitable future in AI.

Credit: Joy Buolamwini and Timnit Gebru
(Source: Proceedings of Machine Learning Research 81, 2018)

Tune in to learn how this work is revolutionizing the way we approach ethics in AI, and why it’s a message the world needs to hear.