AI/ChatGPT

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Mar 20, 2025

Targeting EU Pharma Policy-Makers: How AI Can Refine Your Advocacy Strategy

Who exactly are the EU policy-makers shaping pharma regulations, and how do you craft messages that resonate with them?

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Mar 19, 2025

How Deep Are Your AI Questions? Unlock Better Insights with Smarter Prompts

The quality of your AI-generated answers depends on the depth of your questions. Want more meaningful insights?

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Mar 17, 2025

100+ Comms Pros, 1 Big Question: How to Use AI Without Losing Quality?

Time-strapped and overwhelmed by AI tools, comms professionals are looking for practical solutions.

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Mar 17, 2025

Do AI Tools Have Political Bias? A New Study Sheds Light

AI models may not have personal opinions, but their responses are shaped by built-in or inferred values—meaning the way you phrase a question can influence the answer.

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Mar 15, 2025

AI Policy vs. AI Skills: UK Minister’s ChatGPT Blunder Sparks Debate

UK Cabinet Minister for AI, Peter Kyle, made a classic mistake—treating ChatGPT like a search engine.

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Mar 13, 2025

The Next Frontier: AI Dataset Manipulation and the Battle for Truth

SEO was the last battleground—now, AI dataset manipulation is the real threat. As language models shape how we understand social issues, subtle biases and unseen influences could redefine public perception without anyone realizing it.

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Mar 12, 2025

How AI Can Support the Humanitarian Sector

AI offers a lifeline for humanitarian organizations facing budget cuts and resource constraints. From improving content quality to streamlining analysis, practical AI tools can help small teams maximize their impact. Here's how.

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Mar 12, 2025

The Ultimate Persuasion Formula: Science Meets Influence

Persuasion isn't just an art—it’s a science. While many rely on intuition, others seek a data-driven approach. For my fellow geeks, here’s the ultimate formula to master influence.

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Mar 10, 2025

AI in Brussels: Insights from Conversations and Workshops

From Sora to AI agents, professionals in Brussels are embracing AI—but with caution. While expectations rise, the need for critical thinking and practical use cases remains. The key? Start small, test, and build. How is AI shaping your work?

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