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Aashka Patel
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Building an informed community that's excited about AI's benefits while staying aware of its risks :)

Episodes

  1. Jun 30

    This ONE AI Mistake Could Crash a Bank (She Knows How to Stop It) | Deeba Kazmi, Finbots AI

    *ai in fintech, finbots ai, credit risk, singapore regulation, women in ai, women in fintech, fintech founders, fintech compliance, universal basic income, future of banking, ai literacy, emerging markets* Summary: In this engaging conversation, Aashka Patel interviews Deeba Kazmi, co-founder and chief data scientist at Finbots.ai, exploring the intersection of AI and FinTech. Deeba shares her journey from lead data scientist to co-founder, the mission of Finbots.ai in revolutionizing credit risk management, and the significant impact of women in leadership roles within the industry. The discussion also delves into compliance with regulations, the importance of explainability in AI models, bias monitoring, and the challenges of rolling out AI in legacy systems. Deeba emphasizes the need for high-quality data, the role of human oversight in high-risk scenarios, and the emerging trends in fraud detection. The conversation concludes with insights on AI literacy, the skills needed for the future of FinTech, and the relationship between AI and universal basic income. Featured Experts: ▶️ Deeba Kazmi, Co-Founder & Chief Data Scientist @ Finbots.ai▶️ Host: Aashka Patel In this episode: 00:00 Precap02:21 AI in FinTech – Everything You Need to Know 04:41 Deeba Kazmi & Finbots.ai – Founder Journey 07:27 Women in AI – Leading the Change 10:18 AI Compliance – FinTech Essentials 13:08 Explainable AI – Why It Matters 16:01 Data Quality for Better AI Models 18:54 Fighting AI Bias – Monitoring & Fixes 21:58 Upgrading Legacy Systems with AI 24:43 Human vs AI – Who Makes Financial Decisions? 28:23 How AI is Evolving FinTech Decisions 29:37 AI Guardrails – Keeping Finance Safe 31:41 Testing AI – Navigating Regulations 31:51 AI & Fraud – New Threats to Lenders 33:29 Credit Assessment – Insights from Emerging Markets 35:05 AI Literacy – What FinTech Teams Must Know 38:14 FinTech Future Skills – What to Learn 41:59 AI & Universal Basic Income – Financial Inclusion 45:01 FinTech Founder Tips – Thriving in Change 50:31 Outro Takeaways: Deeba Kazmi's journey from lead data scientist to co-founder at Finbots.ai.Finbots.ai focuses on solving credit risk challenges in the banking industry.The inclusion of women in leadership roles has led to more user-centric AI products.Compliance with regulations like MAS Veritas is crucial for AI solutions.Explainability in AI models is essential for regulatory approval and user trust.Local explainability is important for individual customer assessments.High-quality data is vital for effective AI model development.AI toggle feature allows clients to choose between traditional and AI approaches.Automated monitoring helps catch model drift and bias in AI lending.AI and universal basic income can complement each other in the future.Sound Bites: "Finbots aims to solve credit risk challenges.""Automated monitoring reports catch model drift.""AI and UBI will complement each other."Keywords: AI, FinTech, credit risk, women in leadership, compliance, explainability, bias monitoring, data quality, legacy systems, human oversight, fraud detection, emerging markets, AI literacy, skills, universal basic income, FinTech founders#aiinfinance #fintech #airegulation #aipodcast

  2. Jun 23

    The LAST Human Job: $55 Billion Market AI Can't Replace (Yet) | Ryan Carrier, Jimmy Farrell

    *ryan carrier forhumanity, AI audits, babl ai, iaseai, AI governance, AI ethics, EU AI Act, ai incidents, ai job loss, incident reporting, autonomous systems, ai agents risks, AI compliance, jimmy farrell, AI ethics* Summary:In this conversation, Aashka Patel engages with Ryan Carrier and Jimmy Farrell to explore the critical themes of AI audits, governance, and the implications of AI on job displacement. They discuss the necessity of independent audits for AI systems, the challenges posed by autonomous systems, and the importance of incident reporting as outlined in the EU AI Act. The conversation also touches on the need for international coordination in managing AI incidents, the ethical considerations of AI's role in society, and the future of AI compliance initiatives. The speakers emphasize the urgency of addressing AI-related risks and the potential for significant economic impacts due to job displacement. Featured Experts: ▶️ Ryan Carrier, Executive Director @ ForHumanity▶️ Jimmy Farrell, EU AI Policy Lead @ Pour Demain▶️ Host: Aashka Patel In this episode: 00:00 Precap01:52 AI Audits EXPLAINED ft. Ryan & Jimmy 02:50 Sam Altman: Genius PR or Guilt Trip? 05:13 Will AI Kill Jobs? UBI vs Taxes vs Sovereign Funds 09:30 Auditing AI: The Next $55B Industry? 13:22 Why Auditing Autonomous AI Is 10x Harder 18:05 AI Incidents: From Risk to Reality 20:37 EU AI Act: What MUST Be Reported 23:37 Do We Need a CERN for AI? 25:52 What Happens AFTER an AI Incident? 28:24 Maternal Instincts in AI?! Geoffrey Hinton's Idea 32:44 AI Alignment Is Broken: Here's Why 35:57 India's AI Law & Free Auditor Training 40:11 Australia's AI Stress Test: What They Found 43:10 AI Liability Law Killed by Lobbyists? 45:31 AI Suicides, Deepfakes & Agents Gone Wrong 47:49 If AI Harms You, DO THIS 49:30 Final Thoughts & AI Risk Literacy 49:53 Outro Takeaways: AI audits are essential for building trust in AI systems.Job displacement due to AI is a growing concern that needs addressing.Independent AI auditing could become as lucrative as financial auditing.Auditing autonomous systems presents unique challenges compared to traditional models.Incident reporting is crucial for managing AI risks and ensuring accountability.The EU AI Act sets specific requirements for incident reporting and categorization.International coordination is necessary for effective AI incident management.Real-world AI incidents highlight the need for robust regulatory frameworks.The concept of maternal instincts in AI raises ethical questions about AI's role in society.For Humanity is working on global compliance initiatives for AI regulations.Sound Bites: "It's the ultimate conflict of interest.""We need to establish our own guardrails.""The EU AI Act is not just a suggestion."Keywords: AI audits, AI governance, job displacement, EU AI Act, incident reporting, autonomous systems, AI compliance, AI liability, AI incidents, AI ethics#aiautomation #artificialintelligence #aipodcast

  3. Jun 16

    How China Just Outplayed America? | Casey Handmer: Founder, Terraform Industries

    Summary: While everyone obsesses over AI chips and compute power, the REAL bottleneck in the AGI race is energy. China knows this. America is just waking up.In this deep-dive conversation, Casey Handmer—Founder of Terraform Industries and former NASA JPL engineer—reveals why the US-China AI competition will be won or lost on energy infrastructure, not algorithms. We explore the $500 billion Stargate project, the future of synthetic fuels produced from sunlight and air, and why India could become the third AI superpower if it plays its cards right.Why This Matters:The AGI race isn't about who has the best models—it's about who can power them. This conversation cuts through the hype to reveal the real infrastructure challenges facing artificial general intelligence development. About Casey Handmer: Casey is revolutionizing energy production through Terraform Industries, which creates synthetic fuel using only sunlight, air, and innovative engineering. His unique perspective bridges space exploration, AI infrastructure, and the geopolitics of AGI development. Key Topics Covered: • Why energy, not compute, is the real bottleneck in AGI development• Inside the Stargate Project: America's $500B bet on AI infrastructure• How Terraform Industries is building a "photosynthesis machine" for synthetic fuel• The truth about water scarcity, desalination, and energy production myths• India's potential path to becoming the third AI superpower• Solar power regulation failures and how to fix them• Why space-based solar power is economically unfeasible• The future of data centers and dedicated power plant requirements• Energy infrastructure supply chain constraints in the AI race• Quantum computing's role in future AI development Featured Experts: ▶️ Casey Handmer, Founder @ Terraform Industries▶️ Host: Aashka Patel In this episode: 00:00 AIR Bites (Precap)01:40 The Real Bottleneck in the AI Race Isn’t Compute03:10 Inside Stargate: The $500B Project Powering AGI04:29 Terraform’s Photosynthesis Machine: Fuel from Sunlight and Air07:02 Water Myths in Energy: Why Desalination Isn’t the Problem09:36 Can India Become the Third AI Superpower?13:29 From Mars to Mainframes: How Terraform Fuels Both13:46 The Future of Energy: Solar Power and Regulations15:31 Solar vs Synthetic Fuels: What Data Centers Really Need17:49 Why Solar Regulation Is Broken (and How to Fix It)20:07 Energy = Wealth: The Harsh Truth About Global Power22:53 If AI Mobilized a Manhattan Project, How Fast Could We Scale?24:33 Do We Have Enough Land for 100% Solar Earth?25:57 Japan’s Energy Scarcity and Solar Redemption29:08 Why Space-Based Solar Power Makes No Sense29:48 Batteries Are Killing Transmission Lines31:05 Supply Elasticity Walls in Energy Infrastructure34:15 Data Centers Will Need Their Own Power Plants36:38 Will Quantum Computing Save Us From the Energy Crisis?39:08 My 2027 Prediction: The AI Grid Will Flip44:10 How to Get Rich in Ideas: Advice for Young Physicists50:18 Why Casey Says Yes to Podcasts51:28 Outro Takeaways: Energy is the primary bottleneck in the AI race.Terraform Industries aims to produce synthetic fuels from sunlight and air.Water resources for synthetic fuel production are not as scarce as perceived.India has the potential to become a leader in solar energy.Mars industrialization will require converting local resources into usable materials.Data centers will increasingly rely on solar and battery power.Intermittency in solar energy is manageable with proper infrastructure.AI data centers may become the main power merchants in the future.Investing in index funds is a sound strategy for wealth building.Writing and sharing knowledge online can significantly enhance one's career prospects.#agi #artificialintelligence #airace #geopolitics

  4. Jun 9

    The One Thing That Could Stop AI by 2027 | Hemali Rathnayake: Co-Founder, Minerva Lithium

    *lithium, Minerva Lithium, material science engineering, quantum computing, google deepmind, lithium battery, lithium battery recycling, lithium extraction, hemali rathnayake, pushmeet kohli, rare earth elements* Summary: Lithium extraction, AI materials discovery, battery supply chain crisis, and quantum computing materials explored. Aashka Patel and Hemali Rathnayake discuss why lithium is the real bottleneck for AI data centers, not chips. Learn about Minerva Lithium's 48-hour water-free extraction method, the coming lithium shortage threatening AI's future, and why recycling e-waste is critical. Discover how AI is revolutionizing materials science by finding thousands of new compounds, room-temperature superconductors, and next-generation cooling technologies for AI chips. Topics include rare earth elements powering quantum computing, sustainable battery innovation scaling by 2027, AI-designed semiconductors, and the 5GW data center lithium requirements. Expert advice for future material scientists adapting to AI advancements in energy breakthroughs and the Manhattan Project-level challenges ahead. About Hemali Rathnayake: Dr. Hemali Rathnayake is a materials scientist and nanoscience professor at the University of North Carolina at Greensboro who co-founded Minerva Lithium, revolutionizing sustainable lithium extraction for AI's future. Her breakthrough adsorption-based technology produces battery-grade lithium carbonate from hard-rock deposits in just 48 hours without water waste—advancing from prototype to pilot scale for commercialization by 2027. Her expertise spans AI materials discovery, rare earth elements for quantum computing, semiconductor development, and next-generation cooling technologies for AI data centers, with research funded by NASA and the Department of Defense. In this episode: 00:00 AIR Bites/Precap02:26 The Real Bottleneck of AI Isn't Chips — It's Lithium04:56 Inside the Hidden Bottleneck of America's Battery Supply Chain 06:01 Can Innovation Fix the Lithium Crisis? Meet Minerva Lithium 06:55 How Lithium Is Actually Extracted — and Why It's So Dirty 08:52 A 48-Hour Lithium Revolution: Extracting Without Water Waste 10:03 From Lab to Market: Can Sustainable Lithium Scale by 2027? 12:03 How Much Lithium Would a 5GW AI Data Center Need? 13:57 The Coming Lithium Shortage: Can Recycling Save AI's Future? 16:42 Why AI Data Centers Demand a Whole New Kind of Battery 18:50 AI in Materials Discovery — A Revolution Already Happening 20:50 Can AI Help Discover Room-Temperature Superconductors? 22:05 How AI Found Thousands of New Materials We Missed 25:39 Quantum Computing: The Next Material Crisis26:48 The New Oil: Rare Earths That Power Quantum & AI30:28 The Secret Materials That Could Cool AI Chips Safely 33:34 Will AI Design the Materials to Build Itself? 35:05 By 2027: What's the Next Big AI Energy Breakthrough? 36:40 If You Had a Manhattan Project Budget for AI Energy… 38:07 Advice for Future Material Scientists 42:52 Outro Key topics: China controls the lithium supply chain but lacks battery technology.The US produces less than 4% of the world's lithium.Lithium extraction is energy-intensive and environmentally impactful.Recycling battery e-waste is crucial for sustainability.AI is significantly aiding material discoveries.Room temperature superconductors are a key goal in material science.Energy demand is a major challenge for future technologies.AI can revolutionize material science and semiconductor development.Adaptability to AI is essential for future researchers.Understanding algorithms is critical for effective research. Keywords: lithium, battery technology, AI, material science, recycling, energy infrastructure, quantum computing, rare earth elements, cooling technologies, semiconductor development #lithium #artificialintelligence #aipodcast #materialscience

  5. Jun 2

    Forget AI Agents: This Is The Path To Safe, Profitable Superintelligence | Dr. Craig Kaplan

    *agi, ai agents, superintelligence, herbert simon, ai research, ai alignment, ai predictions, ai safety, future of ai 2026, ai governance, ai dangers, ai doom, cognitive science, future of learning* Summary: This interview with Dr. Craig Kaplan explores the future of safe AGI development, emphasizing democratic AI systems, collective intelligence, and the importance of aligning AI values with human ethics. It addresses the risks, challenges, and philosophical questions surrounding AI safety and governance. In this insightful interview, Dr. Craig Kaplan explores the future of AI, its ethical implications, and how we can prepare for a post-AGI world by developing critical thinking and values. Discover how AI reasoning, safety, and economic models could reshape society and the importance of aligning AI development with human values. About Dr. Craig Kaplan: Dr. Craig Kaplan has been building intelligent systems since the 1980s, long before AI was famous. He co-authored research with Herbert Simon, a Nobel laureate and one of the founding fathers of AI. He built & sold a Silicon Valley company, called PredictWallStreet, that traded billions using collective intelligence. And in 2006, nearly two decades before it became a buzzword, he bought the domain 'superintelligence.' Featured Experts: ▶️ Dr. Craig Kaplan, Founder & CEO @ iQ Company ▶️ Host: Aashka Patel In this episode: 00:00 AIR Bites (Precap) 01:55 AGI Race Is Broken (Both Sides Are Wrong) 03:45 The Third Path: "Democratic AI" 04:34 Why One AI Can't Beat Millions (Collective Intelligence) 06:19 AI Agents → Multi-Agent Systems → Superintelligence 07:23 Collective Intelligence: Harnessing Human and AI Collaboration 08:07 Your Personal AI Clone (With Your Values) 09:26 Why Democracy Fails Today (And How AI Could Fix It) 10:15 The Challenge of Amplifying Voices in AI 13:07 Probabilities and Perspectives: Understanding Risks 14:31 P(Doom): Why 1% Change Saves 83 Million Lives 15:57 Dynamic Values: Adapting AI to Human Ethics 19:42 Your Behavior Is Training AI (Right Now) 19:57 Social Media Is Warping Reality (AI Sees the Truth) 20:28 AI's Objective Reality: A New Lens on Human Behavior 26:14 Constitutional AI: The Need for Individual Values 26:40 Why "Constitutional AI" Might Fail 30:35 India vs US Values: Can AI Respect Both? 34:13 The Ethics of Outrage and AI Training 34:42 Humans Are Better Than We Think (Data Proves It) 36:41 Mythos AI Escaped. This Changes Everything 38:00 The Rise of Superintelligent AI 39:54 Only AI Can Control AI (Scary Truth) 40:23 The "Tree Moment": Humans Can't Keep Up Anymore 45:38 Aligning AI Safety with Economic Incentives 48:26 Why AI Safety Is Failing (And What Actually Works) 48:54 Earn While You Sleep (AI Versions of You) 51:57 Replace Ads With Money-Making AI Tasks 58:41 Are AI 'Reasoning' Models Actually Thinking? A Cognitive Scientist Answers 59:23 Cognitive Science and AI Learning 59:52 Are AI Models Actually "Thinking"? 01:01:09 From Autocomplete → Real Reasoning 01:03:25 How Humans (and AI) Actually Solve Problems 01:08:37 Herb Simon Proved AI Was Creative in 1956, Nobody Noticed 01:10:25 The One Skill That Will Save Kids From an AGI World 01:11:12 Fostering Critical Thinking in Education 01:14:12 Why You Should Actively Seek Out Opinions You HATE Link to all the whitepapers discussed in the episode: https://www.superintelligence.com/si-research-whitepapers Key topics: Democratic AI systems with checks and balances Collective intelligence and multi-agent systems Evolving human values and AI alignment AI safety and ethics AI reasoning and problem solvingEconomic models and AI marketplace Keywords: AI safety, democratic AI, collective intelligence, AGI, AI ethics, AI risks, superintelligence, AI governance, AI alignment, future of AI AI safety, cognitive science, AI reasoning, post-AGI world, AI ethics, human values, AI marketplace, AI training, AI and capitalism, AI problem solving #agi #superintelligence #aipodcast

  • 5 Episodes

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Building an informed community that's excited about AI's benefits while staying aware of its risks :)

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  • Creator
    Aashka Patel
  • Years Active
    2026
  • Episodes
    5
  • Rating
    Clean
  • Copyright
    © Aashka Patel
  • Show Website
    On AIR with Aashka