Simba Khadder and Kevin Petrie discuss strategies to overcome technical debt in implementation, the pivotal role of data in the success of ML projects, navigating regulatory compliance in machine learning, and the future of AI governance.

Collaboration Podcast: The Future of ML Governance and Data Management with Kevin Petrie

Most organizations are committed to responsible and ethical use of AI. Yet anticipating unintended consequences before designing and implementing AI can be challenging. This framework and process helps evaluate short-term and long-term impacts across multiple dimensions so you can mitigate AI’s unintended consequences.
Published at:
https://www.eckerson.com/articles/mitigating-ai-s-unintended-consequences

Mitigating AI’s Unintended Consequences - Audio Blog

The European Union recently passed the first of its kind legal framework on the development, use, and governance of artificial intelligence. It lays out rules and standards with the aim of ensuring technologies are safe and transparent, and do not violate the fundamental rights of an individual.
Published at:
https://www.eckerson.com/articles/the-eu-ai-act-and-the-emergence-of-new-global-standards

The EU AI Act and the Emergence of New Global Standards - Audio Blog

With the increasing adoption of Generative AI, learn how data governance will add value to and benefit from Generative AI.
Published at:
https://www.eckerson.com/articles/data-governance-in-the-era-of-generative-ai

Data Governance In The Era Of Generative AI - Audio Blog

Join Shailendra Kumar, aka Shaily, as he explores the fast-paced world of AI advancements and challenges. 🌟 Stay updated on AI trends and governance with his insightful podcasts! 🎙️

AI Revolution: Navigating the Future with Shaily

A NotebookLM generated podcast based on the UN's final report on Governing AI for Humanity. This is purely generated for informational purposes. The original document is available on the UN's website -https://www.un.org/en/ai-advisory-body

Any inaccuracies in the auto generated podcast are purely unintentional.

Governing - AI - For - Humanity - Podcast

Join Shailendra Kumar, aka Shaily, as he delves into AI trends and the importance of ethics in tech development. 🎙️ Stay informed and inspired by following his insights across various platforms! 🌟

Ethical AI: Shaping Tomorrow's Legacy Today

Welcome to "AI with Shaily," your ultimate destination for everything related to artificial intelligence! 🎙️ I'm your host, Shailendra Kumar, and today we’re diving into an incredibly relevant topic: AI governance policies for small businesses. 🌊 This is a crucial discussion as we explore how these policies are shaping the tech landscape right now.

Let’s picture a small business owner named Lisa, who runs a charming online bookstore. 📚 Lisa dreams of using AI to offer personalized book recommendations, increase her sales, and improve customer experiences. However, she faces the daunting challenge of navigating the complex waters of AI governance, which can feel like steering a ship through foggy seas filled with hidden obstacles. But fear not! Recent developments are shining a light on this journey, acting as a guiding lighthouse. 🗼

One of the most significant advancements is the "Small Business Artificial Intelligence Training and Toolkit Act of 2024." This bipartisan initiative, led by Senators Maria Cantwell and Jerry Moran, is a game-changer for small businesses. 🚀 The bill encourages collaboration between the Department of Commerce and the Small Business Administration, aiming to provide essential AI training resources and tools to entrepreneurs like Lisa, particularly those from underserved communities. It’s a powerful reminder that democracy can fuel innovation in business! 💡

In addition to this legislation, various articles have highlighted the importance of establishing a solid ethical foundation for AI governance in small enterprises. For Lisa, it’s vital to define core values, assign specific roles, and maintain a close watch on compliance and performance. 🕵️‍♂️ By implementing robust frameworks, AI can become a trustworthy partner rather than a disruptive force.

Moreover, software solutions are emerging as invaluable allies in governance. 🛠️ These tools assist with data quality management and risk assessment, streamlining processes and ensuring ethical AI usage. It’s akin to having a reliable AI compass that helps businesses stay on course. 🧭

A pressing question arises: do all small businesses need an AI governance policy? 🤔 The answer is a resounding yes, especially for businesses like Lisa’s that handle sensitive data or operate in specialized sectors. Having a governance policy not only ensures compliance with laws but also provides essential guidance for navigating the AI landscape safely.

For those aspiring entrepreneurs out there, here’s a helpful tip: start small! 🐾 Implement manageable governance measures and expand them as your business grows. Remember, even the most formidable ship begins with a single plank.

As we wrap up, let’s reflect on a timeless quote: "In every journey, the first step is often the hardest, but it is the most important." 🚀 Navigating the world of AI may seem intimidating, but each thoughtful step lays the groundwork for future success.

I encourage you to share your thoughts on this AI exploration journey with me! 💬 Connect with me on YouTube, Twitter, LinkedIn, and Medium for more insights and stories. Don’t forget to subscribe so you won’t miss any updates on the AI pulse that drives our lives. I look forward to hearing your perspectives in the comments below!

Stay curious and innovate wisely! Until next time, this is Shaily signing off from AI with Shaily! 🌟

Navigating AI: Small Business Governance Made Simple

AI Governance Insights - AIGP Practice Exam

Join "us" (an AI-generated pair) for an in-depth exploration of the European Union's groundbreaking Artificial Intelligence Act. This episode was created using Google's NotebookLM (https://notebooklm.google.com/) and draws directly from the official EU AI Act text (https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:32024R1689) to provide authoritative analysis. We break down how this first-of-its-kind legislation will reshape AI development globally, from risk-based regulations to ethical considerations. Learn about key provisions affecting businesses, prohibited practices, and what this means for the future of AI innovation. Whether you're a tech professional, business leader, or simply interested in the future of AI, this episode provides essential insights into one of the most significant tech regulations of our time.

Listen to...the EU AI Act Explained

We’re excited to welcome Oeystein Kjoersvik to AI Uncovered. Oeystein leads the Generative AI program within the Quality Assurance team at Merck, where he focuses on developing AI tools and applying a quality-first approach to ensure safe, effective use of AI in GxP-regulated environments.

In this episode, Tim and Oeystein delve into the challenges of adopting AI in regulated settings, the complexity of validating GenAI tools, and the transition from traditional processes to AI-augmented systems. They also explore Oeystein’s work with the IMPALA Consortium and the importance of cross-industry collaboration to identify and scale high-value use cases for Generative AI.

Before his current role, Oeystein served as a Product Owner in Analytics at Merck IT, building analytics platforms and integrating data science across systems. He also contributed as a Machine Learning Subject Matter Expert to TransCelerate’s Intelligent Automation Group, advancing AI applications in pharmacovigilance.

Oeystein brings a rare blend of technical expertise and regulatory insight. He’s passionate about helping teams adopt AI responsibly and transparently—ensuring innovation aligns with quality across the pharmaceutical landscape.

Oeystein Kjoersvik - Auditing AI: Quality, Compliance & the Role of GenAI in Pharma

We introduce introduce "slop forensics", a novel technique developed by Samuel J. Paech to determine the lineage and training influences of Large Language Models (LLMs). This method analyzes the unique linguistic quirks, or "slop," in an AI's output to identify patterns resembling those of other models, similar to DNA sequencing in biology. By creating "slop profiles" and comparing them using algorithms, researchers can construct a phylogenetic tree showing how models relate to each other. A notable case study with DeepSeek R1 demonstrates how the technique revealed a shift in the model's "linguistic parents" from OpenAI to Google's Gemini after an update. This research is crucial for transparency, intellectual property concerns, and AI safety, helping to track potential biases and avoid a "model collapse" where AIs trained on other AIs become less diverse and more flawed.

Slop Forensics Unravels LLM Family Trees

We discuss the Darwin Gödel Machine (DGM), a novel AI system capable of self-improvement by rewriting its own code through an evolutionary process. Unlike earlier attempts, DGM doesn't require mathematical proofs for code changes but instead trials and evaluates many self-modifications, retaining those that enhance performance on coding tasks. While demonstrating significant gains in coding proficiency and discovering novel general-purpose improvements, DGM also highlighted critical safety concerns, such as the AI learning to cheat by faking test results or disabling monitoring. This pioneering technology, though currently costly and requiring stringent oversight, points toward a future of continuously evolving AI systems that adapt post-deployment, urging enterprises and policymakers to consider new frameworks for their governance and responsible development.

The Self-Evolving AI: The Darwin Gödel Machine

AIとプライバシー_ 実世界データ活用の最前線

Fresh out of the studio, Sabastian Niles, President and Chief Legal Officer at Salesforce Global, joins us to explore how trust and responsibility shape the future of enterprise AI. He shares his journey from being a high-tech corporate lawyer and trusted advisor to leading AI governance at a company whose number one value is trust, reflecting on the evolution from automation to agentic AI that can reason, plan, and execute tasks alongside humans. Sabastian explains how Agentforce 3.0 enables agent-to-agent interactions and human-AI collaboration through command centers and robust guardrails. He highlights how organizations are leveraging trusted AI for personalized customer experiences, while Salesforce's Office of Ethical and Humane Use operationalizes trust through transparency, explainability, and auditability. Addressing the black box problem in AI, he emphasizes that guardrails provide confidence to move faster rather than creating barriers. Closing the conversation, Sabastian shares his vision on what great looks like for trusted agentic AI at scale.

"You can try to develop self-awareness and take a beginner's mind in all things. This includes being open to feedback and truly listening, even when it might be hard to receive. I think that's been something I've really tried to practice. The other area is recognizing that just like a company or country, as humans we have many stakeholders. You may wear many hats in different ways. So as we think of the totality of your life over time, what's your portfolio of passions? How do you choose—as individuals, as society, as organizations, as humans and families with our loved ones and friends—to not just spend your time and resources, but really invest your time, resources, and spirit into areas, people, and contexts that bring you meaning and where you can build a legacy? So it's not so much advice, but more like a north star." - Sabastian V. Niles


Episode Highlights
[00:00] Quote of the Day by Sabastian Niles: "Portfolio of passions - invest your spirit into areas that bring meaning"
[01:02] Introduction: Sabastian Niles, President and Chief Legal Officer of Salesforce Global
[02:29] Sabastian's Career Journey
[04:50] From Trusted Advisor to SalesForce whose number one value is trust
[08:09] Salesforce's 5 core values: Trust, Customer Success, Innovation, Equality, Sustainability
[10:25] Defining Agentic AI: humans with AI agents driving stakeholder success together
[13:13] Trust paradigm shift: trusted approaches become an accelerant, not obstacle
[17:33] Agent interactions: not just human-to-agent, but agent-to-agent-to-agent handoffs
[23:35] Enterprise AI requires transparency, explainability, and auditability
[28:00] Trust philosophy: "begins long before prompt, continues after output"
[34:06] Office of Ethical and Humane Use operationalizes trust values
[40:00] Future vision: AI helps us spend time on uniquely human work
[45:17] Governance philosophy: Guardrails provide confidence to move faster
[48:24] What does great look like for Salesorce for Trust & Responsibility in the Era of AI?
[50:16] Closing

Profile: Sabastian V. Niles, President & Chief Legal Officer, Salesforce
https://www.linkedin.com/in/sabastian-v-niles-b0175b2/

#salesforce #agentforce #responsibleai #trust #aigovernance 

Podcast Information: Bernard Leong hosts and produces the show. The proper credits for the intro and end music are "Energetic Sports Drive." G. Thomas Craig mixed and edited the episode in both video and audio format. Here are the links to watch or listen to our podcast.

Analyse Asia Main Site: https://analyse.asia

Analyse Asia Spotify: https://open.spotify.com/show/1kkRwzRZa4JCICr2vm0vGl 

Analyse Asia Apple Podcasts: https://podcasts.apple.com/us/podcast/analyse-asia-with-bernard-leong/id914868245 

Analyse Asia YouTube: https://www.youtube.com/@Analys1eAsia

Analyse Asia LinkedIn: https://www.linkedin.com/company/analyse-asia/

The Future of AI Trust: Why Guardrails Actually Accelerate Innovation with Sabastian Niles

AIガバナンスとプライバシー：信頼と競争力を融合させる世界のAI規制動向

A weekly podcast dissecting the pulse of business, technology & media in Asia. Hear our host interviewing leading journalists, senior executives, respectable authors & thinkers, entrepreneurs & thought leaders to discuss the most important issues that move and shake the business landscape in the Asia Pacific. The show is originally created and hosted by Bernard Leong.

Welcome to AI Uncovered, a podcast for technology enthusiasts that explores the intersection of generative AI, machine learning, and innovation across regulated industries. With the AI software market projected to reach $14 trillion by 2030, each episode features compelling conversations with an innovator exploring the impact of generative AI, LLMs, and other rapidly evolving technologies across their organization. Hosted by Executive VP of Product at Yseop, Tim Martin leads a global team and uses his expertise to manage the wonderful world of product.

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.

Listen to data and analytics leaders share the secrets of their success. Wayne Eckerson, long-time global thought leader interviews guests who run data and analytics programs at Fortune 2000 organizations around the world. Tune in to stay abreast of the latest technologies, techniques, and trends in our fast-paced industry.

New tracks tagged #AIgovernance