Welcome to Innovate Now: The Pulse of Future Technologies, where we explore the fascinating world of emerging technologies and the future of innovation. Join us as we embark on a thrilling journey, delving into the most groundbreaking advancements in artificial intelligence, AGI, fintech, the AI arms race, and the tech start-up ecosystem. Each episode, we'll bring you compelling interviews with industry experts, thought leaders, and visionaries who are reshaping our world. Together, we'll uncover the ethical, social, and economic implications of these technologies and envision the possibilities they hold for our future. Subscribe now to stay informed and inspired by the cutting edge of tomorrow's tech landscape. In this epic episode, we are diving headfirst into an issue of paramount importance: Algorithmic Bias and its implications on society, and the significance of ethics in the development and usage of artificial intelligence. Major Points Addressed in the episode includes: - Implications of algorithmic bias and the importance of ethics in AI development and usage - We discuss how algorithms are trained and where the bias comes from - Real-world examples of algorithmic bias in various sectors (e.g. finance, healthcare, law enforcement) -The Impact of Algorithmic Bias on Systemic Racism - How algorithmic bias can perpetuate and exacerbate systemic racism - Spotlight specific cases where AI and algorithms have been linked to racial bias - The importance of addressing algorithmic bias in the fight against systemic racism - Future developments in AI ethics and the potential for AI to contribute positively to society. The Work of Pioneers in AI Ethics : Timnit Gebru and Rediet Abebe - their backgrounds, and their contributions to the field of AI ethics - In-depth discussion on their research, focusing on their work related to algorithmic bias and systemic racism How can we use AI to combat systemic racism - How AI can be a tool to identify and combat systemic racism - Spotlight on existing projects and initiatives that use AI for this purpose How can we mitigate algorithmic Bias - Strategies for reducing bias in AI, including diversified data sets, transparency in algorithms, and regulation. - The role of interdisciplinary collaboration in addressing algorithmic bias. Check out a few books on the subject: Josh Luberisse. ⁠⁠⁠⁠⁠Embracing the Singularity: Envisioning the Future of Humanity in a World Led by Benevolent AGI⁠⁠. Fortis Novum Mundum. Josh Luberisse. ⁠⁠⁠The Geopolitics of Artificial Intelligence: Strategic Implications of AI for Global Security⁠⁠⁠. Fortis Novum Mundum Josh Luberisse. ⁠⁠⁠AGI Architects: Building a Symbiotic Civilization with Superintelligent Systems⁠⁠⁠. Fortis Novum Mundum. Josh Luberisse. ⁠⁠⁠Algorithmic Warfare: The Rise of Autonomous Weapons⁠⁠⁠. Fortis Novum Mundum.

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