The Good AI Podcast

The Good AI Podcast

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A podcast that helps leaders and professionals understand where AI can go wrong - and how to get it right. We explore the risks, mistakes, legal questions, and business challenges behind AI implementation, while building practical AI literacy and helping listeners move toward true AI fluency.

1d ago

Career Transitions in the Age of AI: Our Stories So Far - Good AI #5

Thinking about a career change in the age of AI? Here's what we have learned from going through career changes ourselves. AI is reshaping careers, creating new opportunities, and challenging how we think about professional growth. But what does it actually take to leave an established career and build something new? In this episode of The Good AI Podcast, hosts Vija Kalnina and Agate Ambulte share their personal career transition stories: from leaving a lifelong judicial appointment and moving beyond software engineering and business management to building new careers in AI. We discuss: Why we decided to walk away from established career paths and embrace uncertainty. How AI is transforming professions and creating new career opportunities. The fears, concerns, and identity challenges that come with changing careers. How to translate your existing experience and identify transferable skills for the AI industry. Practical steps to build confidence, develop new skills, and navigate career transitions. Why continuous learning and adaptability are essential in the age of AI. The key takeaway? You don't need to start from scratch or have a technical background to build a career in AI. Your existing experience might be a good foundation for building a career in AI. Whether you're considering a career pivot, exploring AI opportunities, or simply wondering how to future-proof your professional life, this conversation offers personal insights and practical advice to help you move forward. Timestamps: 00:00 Introduction: Navigating Career Transitions in the Age of AI 01:56 Our Career Transition Stories 02:12 From Judge to AI Ethics and Governance 07:43 From Software Engineering to AI Consulting 11:09 How AI Is Changing the Future of Work 15:42 Finding the Courage to Change Careers 18:42 Leaving Career Stability Behind 21:24 Finding Your Professional Identity in AI 25:02 Practical Steps to Build a New Career in AI 27:23 Transferring Your Existing Skills Into AI 28:33 The Challenges of Career Reinvention 30:13 Why Lifelong Learning Is Essential 31:50 Final Thoughts and Advice for Listeners 💬 Join the conversation: How is AI changing your career plans? Are you excited about the opportunities or concerned about what's next? Share your thoughts in the comments! 🎧 Listen to The Good AI Podcast: Spotify: https://open.spotify.com/show/033GKht2KIzA6kGwbiMJWA YouTube: https://www.youtube.com/@TheGoodAIPodcast Apple Podcasts: https://podcasts.apple.com/us/podcast/the-good-ai-podcast/id6806605260 Instagram: https://www.instagram.com/thegoodai.podcast/
Oct 2

100 Most Popular AI Use Cases in 2026 - Good AI #4

How are people really using AI in 2026? In this episode, we unpack the latest research on the most popular AI use cases, from therapy and relationship advice to troubleshooting, work support, storytelling, agentic operations, and even tarot readings. We also explore what these trends reveal about how AI is becoming part of both personal and professional life, where business use cases are growing, and why different studies can paint very different pictures of AI adoption. You’ll come away with fresh ideas for how to use AI, what people are experimenting with today, and where AI use may be heading next. Timestamps: 00:00 Why understanding AI use cases matters 01:06 The research: How People Are Really Using AI in 2026 01:37 Breaking down the top AI use cases 02:12 #1 Therapy and companionship 02:59 #2 Troubleshooting 04:08 #3 Fun and nonsense 05:00 #4 Fan fiction and storytelling 06:11 #5 Technical use of software 07:02 #6 Autonomous and agentic operations 08:13 #7-10 Relationship advice, work buddy, tarot and general advice 10:36 What the top AI use cases reveal about people's needs 11:52 Surprising use case: Fake reality TV 12:58 Is AI replacing human connection? 13:52 How people are using AI at work 15:15 What businesses can learn from these use cases 16:44 The six main categories of AI use 18:08 Why different AI-use studies reach different conclusions 18:59 How to use the research for your own AI experiments 19:37 How do you use AI?
Sep 2

AI Capabilities Are Increasing. Is Safety Keeping Up? - Good AI #3

The AI race is accelerating. But the safety scores? Not so much.In this episode, Agate Ambulte and Vija Kalnina break down the Future of Life Institute’s Summer 2026 AI Safety Index, and the results that raise some uncomfortable questions. Even the strongest performers, including Anthropic, OpenAI, and Google DeepMind, are still nowhere near top-tier safety grades.So what does that mean for companies adopting AI right now?The smartest companies won’t avoid AI, instead they’ll build the internal judgment, guardrails, and governance needed to use it without creating unnecessary risk.Because the real question isn’t “Should we use AI?”It’s: “Where can we use it safely, where do humans stay accountable, and where should we draw the line?”Mentioned links: https://futureoflife.org/ai-safety-index-summer-2026https://www.pacingthefrontier.com/Timestamps:00:11 — Why AI safety deserves attention01:14 — Inside the 2026 AI Safety Index02:30 — Which AI companies score best—and worst03:08 — Why the overall grades are so low04:23 — How AI companies are evaluated05:10 — The biggest red flag: existential safety06:40 — Meta improves, xAI declines, Europe disappoints07:46 — Why inadequate AI safety is a global problem08:46 — Why 1,300+ AI insiders are calling for slower development10:56 — Why business leaders should care11:18 — AI safety can’t be outsourced12:38 — Should companies stop using AI?13:01 — The questions every company should ask before using AI14:31 — Building your own AI safety guardrails16:01 — Why AI safety is a moving target17:10 — Don’t compare AI models on capability alone17:56 — A practical framework for AI risk decisions18:45 — Final takeaways19:06 — Closing
Aug 2

Good AI #2 - From AI Literacy to Adoption: What Organizations Need to Get Right

AI literacy isn't just a buzzword - it's now a legal obligation for many organizations under the EU AI Act. In this episode, we break down what AI literacy actually means, why it matters beyond simply knowing how to use ChatGPT, and how companies can turn compliance into a competitive advantage. You'll learn: What AI Literacy Means Under the EU AI Act; What an effective AI literacy program should include; Why AI literacy is about responsible decision-making - not just prompting; How leaders can drive AI adoption while reducing legal, ethical, and business risks; Practical tips for individuals and organizations to stay AI-ready. Whether you're a business leader, HR professional, compliance expert, or simply preparing for an AI-powered future, this conversation will help you understand why AI literacy is becoming an essential business capability. Timestamps: 0:01 Why AI literacy matters now1:10 AI literacy in the EU AI Act2:02 What AI literacy actually means3:50 Not all AI is the same5:13 AI literacy is not just ChatGPT7:14 Why the legal requirement feels vague8:04 What companies should include9:36 How much should leaders know?12:11 Data and privacy awareness14:21 The adoption challenge16:55 Why training must be tailored19:24 Business value of AI literacy22:30 Company responsibility vs personal responsibility26:10 Where companies should start27:34 AI adoption as change management41:25 Fearful vs reckless AI use43:15 Legal gray zones and ethics47:55 Personal AI learning habits53:02 Final takeawaysEditor’s note: This episode was recorded in spring 2026 and reflects the EU AI Act and official guidance available at that time. Since the recording, Article 4 has been amended. The AI literacy obligation remains, but some legal details discussed in the episode may differ from the current wording.
Jul 2

Good AI #1 - Intro and why good AI implementation matters

AI can create enormous value for businesses, products, and internal processes — but when implemented without the right legal, ethical, and strategic thinking, it can also create serious risks.In this first episode, we explore where AI development meets law, governance, business strategy, and real-world responsibility. The conversation brings together two complementary perspectives: hands-on AI implementation and legal/ethical AI governance.We discuss why business leaders should not treat legal questions as an afterthought, how AI systems can go wrong, and why AI literacy is becoming essential for everyone — from executives and lawyers to developers, consultants, and public-sector professionals. Timestamps:00:11 – Why AI needs a legal and strategic conversation01:45 – Introducing Via: AI ethics, law, and governance background02:53 – Agate’s AI implementation and business strategy experience05:14 – Why legal questions are often ignored in AI projects06:37 – Common AI failures and real-world incidents06:53 – Bias in AI systems, HR tools, and discrimination risks08:22 – Reputational, legal, and financial consequences of AI mistakes09:03 – The uncertain legal landscape around AI10:44 – GDPR, data protection, and AI-related legal questions11:31 – Different types of AI systems and data use12:28 – Personal data, intellectual property, trade secrets, and sensitive information15:27 – Mapping the legal risks of AI implementation16:50 – Why AI literacy matters across professions18:28 – What business leaders should ask before adopting AI19:18 – The mindset leaders need: curiosity, not ignorance20:36 – Why everyone needs to understand AI fundamentals22:36 – Why it is hard to keep up with AI, law, and new risks23:54 – AI literacy as a smart investment for organizations24:39 – Teaser: unpacking AI literacy in the next episode25:07 – Closing thoughts and invitation to ask questions

5 Episodes

A podcast that helps leaders and professionals understand where AI can go wrong - and how to get it right. We explore the risks, mistakes, legal questions, and business challenges behind AI implementation, while building practical AI literacy and helping listeners move toward true AI fluency.

Creator

The Good AI Podcast
Years Active

2026
Episodes

5
Rating

Clean
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© The Good AI Podcast
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The Good AI Podcast