This podcast explores Italy's pioneering approach to Artificial Intelligence (AI) governance, which blends alignment with the European Union's foundational AI Act with a dedicated national framework, the Provisions and Delegations to the Government Concerning Artificial Intelligence (AI Bill or DDL 1146). Approved by the Senate in March 2025, the AI Bill outlines regulatory principles and sectoral priorities designed to complement EU rules where national legislation retains competence.We delve into the core of Italy’s human-centric governance model, examining guiding principles such as transparency, proportionality, non-discrimination, and human oversight. Discover how Italy is strategically positioning itself to lead responsibly in this technological shift, with specific provisions targeting the use of AI in high-stakes sectors, including healthcare, justice, labor, and public administration. Crucially, the legislation ensures that final decisions in these areas, particularly concerning the interpretation of law or medical treatment, always remain with a human professional.The episode also highlights Italy’s commitment to innovation and research, anchored by strategic programs like the National AI Strategy (2022–2024) and the FAIR (Future Artificial Intelligence Research) initiative. We discuss efforts to advance compute and data infrastructures, foster public trust, and empower the ecosystem through the €1 billion AI fund and support for SMEs and startups.Finally, we address the evolving institutional landscape, including the proposed roles of the Agency for Digital Italy (AgID) and the National Cybersecurity Agency (ACN) in AI oversight, alongside the crucial coordinating functions of the Italian Data Protection Authority (DPA). Learn how Italy is driving forward an AI model rooted in social responsibility, digital sovereignty, and European values.https://www.linkedin.com/posts/ai-%26-partners_it-er-activity-7384105781710909440-eLhP?utm_source=share&utm_medium=member_desktop&rcm=ACoAAAHvlhcBIJlzljZtWd7z__C2yTHfsGOL_Ng

Ever wondered who truly controls the vast amounts of data generated by your smart devices and the digital services you rely on? The **EU Data Act (Regulation (EU) 2023/2854)** is a landmark regulation poised to fundamentally reshape the digital economy across the European Union [1, 2].

Join us as we unpack this crucial legislation designed to establish **harmonised rules for fair access to and use of data**, aiming to boost innovation, competitiveness, and sustainable economic growth within the EU [1, 3].

In this episode, we'll explore how the Data Act:

* **Empowers users** of connected products and related services, giving them the right to access, use, and even share their generated data with third parties of their choice, free of charge in many cases [4-6].

* Obliges **data holders** to make data available under fair, reasonable, and non-discriminatory terms and conditions, addressing previous barriers like contractual imbalances and data silos [4, 7, 8].

* Facilitates **seamless switching between data processing services**, such as cloud and edge computing, by removing technical and contractual obstacles like excessive data egress charges, fostering a more competitive market [4, 9-12].

* Introduces safeguards for **trade secrets** while still promoting data sharing, and clarifies rules for the use of "smart contracts" in data sharing agreements [13-16].

* Enables **public sector bodies** to access necessary data in exceptional circumstances, such as public emergencies, to carry out tasks in the public interest [6, 14, 72, 132(c)].

* Establishes important safeguards against **unlawful international governmental access** to non-personal data held in the Union [111, 112, 132(e)].

Tune in to understand your new data rights, the obligations for businesses, and how this regulation will impact consumers, enterprises, and the future of data interoperability in the European data economy.

In a world defined by constant disruption—economic volatility, geopolitical tension, rapid technological advancement, and widespread organizational change—boundaries are rapidly blurring. This podcast, based on McKinsey’s Research and Innovation Learning Lab's 2025 perspective, explores how organizations and individuals must learn to "bounce forward" and reimagine how work gets done and people learn. We delve into three interdependent macrotrend areas: fluid development ecosystems, responsible AI adoption, and adaptability and resilience. Discover why development must be seen as an act of care, resilience and adaptability as a shared responsibility, and transformation as a permanent and positive condition for thriving in tomorrow's dynamic landscape.

This podcast episode explores the comprehensive benchmark of generative AI (gen AI) adoption and value in global enterprises, based on a survey of 2,500 senior leaders by Google Cloud and National Research Group. We delve into how gen AI is a key driver of business transformation, enabling companies to achieve significant financial returns, improve efficiency, and sustain growth.Key insights discussed include:• Rapid ROI and Revenue Growth: 74% of enterprises using gen AI report ROI within the first year, with 86% of those reporting increased revenue noting a 6% or more increase.• Accelerated Time-to-Value: 84% of organizations can move a gen AI use case from idea to production in less than six months.• Boosted Productivity and Business Performance: 45% of organizations reporting improved productivity have seen employee productivity double or more, and 63% report gen AI has directly driven business growth.• Crucial Role of C-level Sponsorship: 91% of organizations with robust C-level support that also report increased revenue estimate a 6% or more increase.• Trends in Top-Performing Organizations: Learn what differentiates "Gen AI Leaders," who outperform their peers on financial metrics and strategically invest in long-term growth and innovation.This episode offers essential takeaways for business executives looking to unlock the transformative power of AI and achieve lasting success.

As Artificial Intelligence capabilities rapidly advance and Chinese models close the gap with the leading edge, understanding China's approach to AI safety and governance has become more critical than ever. This podcast delves into the "State of AI Safety in China (2025)" report, offering a comprehensive look at how the nation addresses general-purpose AI risks, especially dangerous misuse, accidents, and the profound challenge of losing control over advanced AI systems.Join us as we explore five key domains of China's evolving AI safety landscape from May 2024 to June 2025:• Domestic Governance: Discover how AI safety has been formally elevated to a national priority, with increasingly prominent calls for risk mitigation from top officials, including at the Third Plenum and a Politburo study session. We'll discuss China's expanding AI standards system that elaborates on existing regulations, even revealing intentions to address severe risks like AI's impact on cybersecurity or loss of control.• International Governance: Learn about China's emphasis on AI safety and global AI capacity-building as key themes in its international diplomacy. Hear how Chinese officials have cautioned against unchecked international competition, referring to it as a "gray rhino" risk. We'll also cover the launch of the "China AI Safety & Development Association" (CnAISDA) as China's counterpart to other national AI safety institutes, positioning itself to facilitate international dialogue on extreme risks.• Technical Safety Research: Uncover the rapid expansion of frontier AI safety research output in China, more than doubling in the last year. Previously underexplored areas such as alignment of superhuman systems and mechanistic interpretability have become popular topics, alongside research into deception, unlearning, and CBRN (chemical, biological, radiological, and nuclear) misuse.• Expert Views on AI Safety and Governance: Explore how expert discourse in China is placing greater emphasis on AI safety and governance, reflected in increased coverage at major AI conferences like the World AI Conference (WAIC), which was upgraded to a "High-Level Meeting on Global AI Governance". Experts are also publishing in-depth analyses of AI risks in biosecurity, cybersecurity, and open source AI, often framing AI as a "double-edged sword".• Industry Governance: Understand the impact of leading Chinese foundation model developers signing voluntary "AI Safety Commitments," pledging measures like dedicated safety teams, red teaming, and investment in frontier safety research. We'll also examine the current state of transparency, noting that while companies implement well-known safety methods, detailed safety evaluation results for severe risks are often limited in public disclosures.This podcast highlights China's critical participation in the global effort to govern advanced AI systems, emphasizing that mutual understanding is the foundation for coordination, especially in geopolitically complex times.

This podcast, based on "The Essential AI Handbook for Leaders," offers crucial insights for executives and organizations navigating the transformative power of Artificial Intelligence. It underscores that AI is a major game-changer, akin to a new industrial revolution, with the ability to optimize jobs, minimize risks, and enhance decision-making across all sectors. Learn how success in this new era hinges on leaders making the right decisions faster than competitors, utilizing accurate data, insights, and working with the best people. The handbook aims to demystify AI, explaining how it works and its immense potential, making its benefits available, usable, and affordable for everyone, not just large corporations. Discover how to establish company-wide AI knowledge, identify suitable problems, inventory data, and select the right tools to drive your business to excel at new levels.

Explore America's ambitious strategy to achieve and maintain unquestioned and unchallenged global technological dominance in artificial intelligence (AI). This podcast delves into the Trump Administration's "America's AI Action Plan" from July 2025, outlining three core pillars: accelerating AI innovation, building robust American AI infrastructure, and leading in international AI diplomacy and security. Discover how the plan aims to remove red tape and onerous regulation, empower American workers, support next-generation manufacturing, combat synthetic media in the legal system, and restore American semiconductor manufacturing.We also examine the broader U.S. approach to AI regulation and governance, characterized by a multi-faceted framework that combines executive orders, targeted legislation, voluntary standards like the NIST AI Risk Management Framework, and sectoral initiatives. Understand the nation's commitment to fostering innovation, developing a future-ready workforce, advancing compute and research infrastructure, and ensuring AI systems are objective, free from ideological bias, and reflect American values. This includes a look at how U.S. AI policy evolves, such as President Trump's actions to rescind previous regulations to unencumber the private sector, contrasted with prior frameworks like President Biden's Executive Order 14110 focusing on AI safety, security, and civil rights protections.