Future Forward: Artificial Intelligence - General Intelligence - Super Intelligence

KG191

AI to AGI to ASI is a forward-looking podcast that explores humanity’s most transformative technological journey — from today’s artificial intelligence to the emergence of artificial general intelligence, and eventually, the era of artificial superintelligence. Each episode dives into the full spectrum of implications: 🔧 Technical Breakdowns of AI/ML architectures, alignment challenges, agentic systems, and breakthroughs leading toward AGI.How compute, scaling laws, robotics, and self-improving systems shape the trajectory. 🏛️ Political & Geopolitical How nations compete and collaborate in the AI race.Global governance, regulation, treaties, national security, and the shifting balance of power in an AI-dominated world. 💰 Economic The futures of work, productivity revolutions, job displacement, UBI debates, and trillion-dollar AI economies.How AGI might reshape markets, ownership, and wealth concentration. 🧠 Human & Social How AI changes identity, meaning, purpose, creativity, and relationships.Psychological Impacts, Digital Companions, and the Future of Childhood and Education. 🌍 Environmental Compute energy demands, ecological impact, green AI models, and how ASI could help (or hinder) planetary sustainability. ⚖️ Ethical & Existential Alignment and safety.The distinction between helpful superintelligence and catastrophic misalignment.What it means to coexist with entities smarter than ourselves. 🌐 Cultural & Civilizational How different cultures interpret AGI.The future role of humans in a world of increasingly autonomous AI agents. This podcast doesn’t sensationalise — it illuminates. It examines the opportunities, risks, philosophies, and realities of a future defined by intelligence beyond our own, helping listeners understand not just what is coming, but what it means for all of us.

Episodes

  1. Tackling AI Bias in a Path to Fairness and Equity

    4 DAYS AGO

    Tackling AI Bias in a Path to Fairness and Equity

    We deep-dive into the growing problem of bias in AI and machine learning. We explain that AI bias is not a single flaw but a spectrum of issues emerging from multiple sources: historical bias embedded in past human decisions, representation bias caused by unbalanced datasets, measurement bias resulting from unfair or inaccurate proxies such as ZIP codes for creditworthiness, and algorithmic bias introduced during model training. Real-world failures—biased hiring systems, discriminatory lending tools, inaccurate facial recognition, and inequitable healthcare risk models—demonstrate how these issues lead to tangible harm. Our discussion emphasizes that auditing AI systems is essential to prevent discrimination, maintain regulatory compliance, and preserve public trust. It outlines key mitigation strategies: pre-processing to rebalance data, in-processing to apply fairness constraints, post-processing to calibrate outcomes, and human-in-the-loop oversight for high-stakes decisions. We stress that ethical AI requires more than technical fixes. Effective governance depends on standardized auditing practices, accountability structures, explainability, diverse datasets, and evolving regulations. Challenges include complex bias sources, resource constraints, and shifting societal expectations of fairness. Ultimately, we argue that AI bias reflects deeper societal inequalities. Ensuring fair and equitable AI demands a blend of technological intervention, ethical principles, and cultural change. Public trust hinges on transparency, independent oversight, and open dialogue. Without meaningful action, AI risks amplifying discrimination and eroding confidence in technology; with continuous commitment, however, AI can support a more just and inclusive future.

    12 min

About

AI to AGI to ASI is a forward-looking podcast that explores humanity’s most transformative technological journey — from today’s artificial intelligence to the emergence of artificial general intelligence, and eventually, the era of artificial superintelligence. Each episode dives into the full spectrum of implications: 🔧 Technical Breakdowns of AI/ML architectures, alignment challenges, agentic systems, and breakthroughs leading toward AGI.How compute, scaling laws, robotics, and self-improving systems shape the trajectory. 🏛️ Political & Geopolitical How nations compete and collaborate in the AI race.Global governance, regulation, treaties, national security, and the shifting balance of power in an AI-dominated world. 💰 Economic The futures of work, productivity revolutions, job displacement, UBI debates, and trillion-dollar AI economies.How AGI might reshape markets, ownership, and wealth concentration. 🧠 Human & Social How AI changes identity, meaning, purpose, creativity, and relationships.Psychological Impacts, Digital Companions, and the Future of Childhood and Education. 🌍 Environmental Compute energy demands, ecological impact, green AI models, and how ASI could help (or hinder) planetary sustainability. ⚖️ Ethical & Existential Alignment and safety.The distinction between helpful superintelligence and catastrophic misalignment.What it means to coexist with entities smarter than ourselves. 🌐 Cultural & Civilizational How different cultures interpret AGI.The future role of humans in a world of increasingly autonomous AI agents. This podcast doesn’t sensationalise — it illuminates. It examines the opportunities, risks, philosophies, and realities of a future defined by intelligence beyond our own, helping listeners understand not just what is coming, but what it means for all of us.