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I’m officially a Harvard graduate.

In this final entry of the Harvard AI Diaries, I wrap up an intense, unforgettable week at the Kennedy School, where I presented my AI Political Communications Assistant to a room of brilliant global leaders. It was a week of early mornings, late nights, and real applied learning that pushed me to think bigger about AI, leadership, and governance.

I came with a solid foundation in AI, but I’m leaving with a transformed perspective on how we can use these tools responsibly and meaningfully in our work. More than anything, it was the people who made this experience: world-class faculty, diverse classmates, and the kind of camaraderie you don’t forget.

Thank you for following this journey with me. 

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This week on AI SIX, we’re taking a ride, literally.

Join me for a special carpool karaoke-style conversation as I drive through Cambridge and Downtown Boston with Dr Steve Morreale, a former federal agent and seasoned criminal justice professor with deep insights into leadership, ethics, and innovation in policing. He’s also the host of The CopDoc Podcast, where he speaks with thought leaders across law enforcement and criminal justice.

As we cruise past the iconic Harvard Square—where I’ve been studying this week as part of the Executive Education programme in Leading in Artificial Intelligence and Public Policy at Harvard Kennedy School—we talk candidly about how AI is reshaping the future of policing.

Plus, we throw in a few fun facts about Harvard, chat about tech in Boston, and reflect on what ethical AI leadership really looks like.

Buckle up it’s an episode packed with insight, action, and a few unexpected turns.

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Today, we tackle the tough questions shaping AI in government and the public sector:

- Can AI outputs be copyrighted?
- Are LLMs infringing on copyright?
- Who’s responsible for misinformation?

We dive into live case studies like OpenAI vs The New York Times, explore the “liar’s dividend,” and debate trust and governance in an AI-flooded world.

Plus, what are agentic AI agents, and how are they already changing workflows? And what does generative AI mean for the future of work and skills?

The hype is fading, and the hard questions are here. Join me for Day 4 from Harvard.

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Is AI a risk, or is the real risk ignoring it?

On Day 3 at Harvard Kennedy School, we dive into what “AI risk” truly means for government, policy, and society. From misaligned models and over-reliance on automation to environmental impacts and job futures, today’s sessions pushed us to see risk not as a reason for inertia, but a reason to act.

We also explored the opportunities: better public services, new tools for creativity, and smarter governance.

We wrapped the day by building our own AI Assistants, ready to test in real-world policy scenarios.

If you’re in government or shaping policy, this episode will help you move beyond “if AI” to “how.”

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 Key Takeaways from Today’s AI Class – Cargo Cults, Prompting, and the Rise of Intelligent Agents, and what about Privacy 

In today’s Part II of Harvard AI Diaries, I reflect on a series of thought-provoking sessions exploring how AI intersects with human intelligence, decision-making, and future technologies.

We dug into the “Cargo Cult AI” analogy, the limits of current models, and how good prompting — using frameworks like TIC and Chain of Thought — can unlock better results. The day also covered the rise of intelligent AI agents, distilled models, and the critical role of privacy and human oversight in real-world deployments.

Short on hype, big on insights — this episode is packed with practical takeaways for anyone building or leading with AI.

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Welcome to a special edition of AI Six Podcast, reporting daily from Harvard University. I’ve joined 72 public sector leaders from around the world at the Kennedy School to explore how AI is reshaping government, policy, and society.

On Day One, we dove into the science of generative AI, the ethics of model training, and why AI + Me is the real superpower. From beating Gandalf in a gamified challenge to debating key policy questions, it’s been an intense and inspiring start.

Tune in to hear how this week might just rewrite a chapter of my upcoming book — and what it’s like to have a front row seat to the future of AI in the public interest.

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Ever wish you could clone yourself to answer client questions or onboard your team? In this episode, I take you behind the scenes of building AI-J, my AI agent trained on 10+ years of my marketing and comms work, using Botpress.

You’ll learn:
- Why I built it
- How it works
- What it can do for public sector comms pros
- Lessons from testing

I’m also looking for public sector marketing and comms professionals to join a focus group to test AI-J in real-world settings. If you’re curious about building your own AI agent or want to see how this could amplify your work, this episode is for you.

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Midjourney just took its first step into AI video with the launch of its V1 Video Model in June 2025, and it’s making waves.

In this episode, I break down what this launch means for creators, marketers, and businesses eager to explore AI video, covering:

- How Midjourney’s image-first approach to video generation works
- The “Animate” feature that transforms images into 5–21 second videos
-  Motion controls and what low vs high motion settings offer
- Pricing that undercuts competitors like Sora, Veo, Firefly, and Runway
- What the limitations are (480p, silent, image input only)
- Why Midjourney’s vision of real-time, interactive 3D worlds matters for the future of content creation 

If you’ve been curious about AI video but overwhelmed by complexity or cost, this episode will show you what’s possible today, and what’s coming next. 

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Ever wondered how a daily six-minute podcast gets made while running a business, teaching, and speaking across Europe? The answer: AI (and a committed team).

In this episode, I take you inside AI SIX, revealing how AI powers every step of producing a daily show – from idea to recording, editing, and promotion – while still requiring human insight to create meaningful content.

You’ll learn:
- How I plan episodes in Notes, ChatGPT, and Perplexity
- The workflow across Monday.com and Google Drive with my team
- How tools like Adobe Podcast Enhance, Descript, and OpusClip speed up editing
- How Canva, AgoraPulse, and Buzzsprout help distribute and promote each episode
- Why AI is not replacing humans but supercharging them to deliver consistent, high-quality podcasts

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Still proud of your perfectly formatted press release or your five-step Excel hack? AI can do those now, and faster. It’s time to move yourself up the value chain before your role evolves without you.

In this episode, I unpack:

• Which skills AI is already replacing (and what Salesforce’s CEO says about it)
• How to audit your current tasks to see what AI should take over
• Why hanging onto old skills isn’t safe but risky
• How to free up space for strategy, creativity, and influence

If AI can do it, should you still be doing it?

This is your call to reclaim your time and let AI take the tasks you’ve outgrown so you can focus on what truly adds value.

Want to go deeper on AI? 

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