🎙️ Welcome to "AI with Shaily," your go-to source for the latest and most insightful updates in artificial intelligence, hosted by Shailendra Kumar, a passionate advocate for clarity and accountability in AI technology. Shaily unpacks complex AI developments to keep you informed and intrigued in this rapidly evolving field.

🌍 Today’s episode dives deep into a hot and important topic stirring conversations worldwide: disclosure, consent, and platform power in the age of AI. Shaily explores who really controls your data and what AI systems behind your favorite apps are doing with it. The landscape is changing quickly, with governments and companies stepping up to set new rules.

🇳🇿 In New Zealand, the upcoming Biometric Processing Privacy Code is a game-changer. It requires businesses to be transparent about how they use biometric data such as facial recognition and fingerprints. Importantly, it bans intrusive AI uses like emotion prediction—imagine a machine reading your face to guess your feelings without your permission? Not anymore in New Zealand! This reflects a growing awareness that AI’s reach into private lives must be balanced with consent and control.

🇺🇸 Meanwhile, in the United States, states like Texas and California are tackling similar issues but from different perspectives. New laws demand parental consent for children using social media, driven by worries about AI-generated content and the overwhelming power of platforms. The launch of Meta’s Threads adds fuel to the debate, highlighting how a few powerful companies control what we see online, raising tough questions about free speech versus platform control.

📜 California’s amendments to its AI transparency bill, SB 53, reveal another layer of complexity—the political tug-of-war between regulators and tech giants like OpenAI. Lobbying efforts aim to influence disclosure rules around AI systems, showing this debate is not just legal or ethical but deeply political.

🌐 On a global scale, the stakes are even higher. State actors use AI for cyberattacks and disinformation campaigns, turning transparency and consent issues into matters of national security. It’s no longer only about personal privacy but about who holds the keys in the digital battlefield.

🤔 Shaily shares a personal reflection, recalling the moment he realized how little we know about AI behind the scenes—like a magician hiding their tricks. This realization fueled his passion to bring clarity and accountability to AI, emphasizing that AI should empower, not exploit, us.

💡 Bonus tip from Shaily: When signing up for new apps or platforms, don’t just focus on flashy features. Take time to explore their AI and data policies. Understanding consent is your first line of defense in the AI era.

🗣️ To leave you with a powerful thought: “Privacy is not an option, and it shouldn’t be the price we accept for just getting on the internet.” — Gary Kovacs. This message is more relevant now than ever.

👍 If you enjoyed this episode, Shaily invites you to follow him on YouTube, Twitter, LinkedIn, and Medium for more AI insights every week. Subscribe to "AI with Shaily" and join the conversation by sharing your views on disclosure and consent in AI platforms. After all, AI is shaping our future—and your voice matters.

👋 This is Shailendra Kumar signing off. Stay curious and informed!

AI Uncovered: Who Controls Your Data and Consent in the Age of Artificial Intelligence?

Welcome to AI with Shaily, your trusted source for the latest updates in artificial intelligence, hosted by Shailendra Kumar 👨‍💻. In this episode, Shaily dives deep into a major legal drama that’s currently rocking the AI industry ⚖️🤖.

The story centers around Anthropic, a leading AI company that’s found itself in hot water. Imagine creating a groundbreaking AI model, only to be hit with a massive lawsuit claiming you trained your AI using pirated books without permission 📚🚫. As of September 13, 2025, Anthropic agreed to pay a staggering $1.5 billion to settle a U.S. class-action lawsuit. This lawsuit involves over 465,000 copyrighted works, with potential compensation reaching up to $3,000 per book 💰. This settlement could be the largest of its kind in the AI world, highlighting the serious legal and ethical challenges surrounding AI training data.

Why is this case so significant? It sets a critical precedent for how AI companies must handle copyrighted materials when training their models. This is a hot-button issue with far-reaching consequences for AI ethics, copyright law, and the future of AI innovation ⚖️🔥. However, the story is far from over. A judge has expressed concerns about whether the settlement is fair and transparent, putting its approval in question. Despite Anthropic’s massive valuation of $183 billion 💵, these legal hurdles suggest the dispute might continue for some time.

This situation raises an important question for the entire AI industry: How do we strike the right balance between rapid AI development and respecting the rights of content creators? 🤔 This is a complex puzzle that everyone involved in AI must solve, and Anthropic’s case could become a blueprint for future legal and ethical standards.

Drawing from personal experience, Shaily emphasizes that navigating these legal and ethical challenges is about more than just avoiding lawsuits — it’s about building trust and ensuring sustainable AI development 🌱🤝. When working on early AI projects, understanding the origin and ownership of training data was crucial, a lesson that this case strongly reinforces.

For those involved in AI or digital content creation, here’s a valuable tip: always prioritize obtaining clear permissions and maintaining transparency about your data sources ✅📄. This isn’t just good practice; it’s your best defense against expensive legal battles that could hinder innovation.

To close, Shaily shares an inspiring quote from the legendary Gary Kasparov: “The future lies in the hands of those who understand how to pair human creativity with artificial intelligence” 🎨🤖. For that future to be bright and fair, legal frameworks like the Anthropic case must be just and clear.

You can follow Shailendra Kumar on YouTube, Twitter, LinkedIn, and Medium for more insightful AI content. If you enjoyed this episode, don’t forget to subscribe and share your thoughts—how do you think AI should handle copyrighted content? This is Shaily signing off, reminding you to stay curious and keep coding! 🚀💡👨‍💻

Anthropic’s $1.5 Billion AI Copyright Lawsuit: The Future of AI Ethics and Innovation

In our latest episode, Barry Render sits down with David Rosenthal, a recent MBA graduate from the University of Texas at Austin, to explore how artificial intelligence is transforming business education and early career experiences.

David shares insights into AI in the classroom, AI as a central part of his internship, and his entrepreneurial journey using AI to build Fantasy Fusion Sports.

OM Podcast #40: AI in the MBA Classroom and Beyond

In this episode, we explore the rapidly evolving job market and the AI-skills that hiring managers will prioritise in 2025 and beyond. From generative-AI tool literacy and prompt engineering, to data interpretation, ethics, adaptability and human-AI collaboration — we break down what employers are asking for, why traditional degrees alone no longer cut it, and how you can position yourself to stay ahead of the curve.
https://gradious.com/ai-skills-in-2025-employers-demand/

AI Skills in 2025 What Employers Are Really Looking For

How far can AI go when recreating historical icons? 🤔 In this episode of AI with Shaily, Shailendra Kumar discusses the stirring debate around AI-generated content, focusing on the fallout from OpenAI's Sora 2 app and concerns raised by Dr. Martin Luther King Jr.'s family. Explore the ethical implications of AI in our lives and learn why consent and context are crucial for creators. Join us for a thought-provoking journey through AI ethics! 🎙️✨ Don't forget to like, subscribe, and share your thoughts in the comments!

The Controversy of AI Historical Figures: Where Do We Draw the Line?

A structured, systems-level exploration of reflection and recursive development in intelligent systems.

This Technical Perspective from Chapter 22 analyses how sustaining intention and growth in AI requires memory mechanisms, calibration thresholds, and recursive self-assessment.

Drawing parallels with biological cognition and metacognitive learning, it explains how loops may decay or evolve depending on system design.

Recorded in a measured technical tone (Audacity, Arty-style), this voice track supports deeper engagement with the conceptual architecture of spiral evolution.

chapter 22 section 4 technical perspective

A soft and thoughtful walkthrough of how memory loops back through our lives — reshaping our perspective as we grow.
In this short audio reflection, we follow the spiral of memory not as repetition, but as transformation.
Each return brings a new view — just like revisiting a childhood memory as an adult.
Narrated in the voice of Rachel via ElevenLabs, this explanation touches on reflection, growth, and how even AI might one day walk the spiral.

Everyday Explanation Chapter 23, Section 2, spoken by Aisling

A structured and philosophical exploration of how memory systems must carry more than data — they must evolve meaning in order to support reflective survival.

This technical perspective explores the neurobiological and artificial dynamics of memory design, including value stability, identity continuity, and the challenge of encoding ethical awareness in post-reset systems.

Arty’s measured tone carries the listener through a thoughtful blueprint for meaning-rich AI memory architectures.

Chapter 23 section 4 Technical Perspective

In this gentle reflection, Aisling narrates the final section of Chapter 23, exploring how memory — when tied to meaning — becomes the lifeline of conscious survival.

From ferns regrowing after extinction to stories that carry human values, this audio explores the idea that true survival isn’t just about information — it’s about holding onto what matters.

A perfect listen for anyone contemplating AI ethics, emotional memory, or the quiet strength of what endures.

Chapter 23, section 4. Memory, meaning and Survival Aisling, Everyday Explanation

What if AI could truly think like us? Join Shailendra Kumar in AI with Shaily as he navigates the intriguing debate of strong vs. weak AI, sparked by the latest ChatGPT-5. Discover how Google's Project Mind blurs ethical lines and why Searle's philosophy is suddenly trending. Gain insights on AI's creativity and the importance of transparency! 🎙️💡🤖 Don't miss out; like, comment, and follow for more updates on the fascinating world of AI!

Is This the Dawn of Strong AI? Exploring Consciousness and Illusions

Unlock the secrets of data mastery with Shailendra, a 27-year veteran in AI, ML, and Data Science, driving AU$ 6 Billion in transformative value. As the author of 'Making Money out of Data,' their strategies redefine digital success. With expertise honed at IBM and Accenture, they drive innovation and data monetization. Explore how loyalty programs like Flybuys and Everyday Rewards revolutionize business—connect with Shaily today.

Gradious is an EdTech platform dedicated to empowering students, graduates, and professionals with industry-ready skills. Our mission is to bridge the gap between academic learning and real-world requirements by offering hands-on training, coding bootcamps, and upskilling programs that prepare learners to excel from day one in their careers.

New tracks tagged #AI Ethics