2025-04-16 One-Minute Post

Microsoft’s EVP of AI, Mustafa Suleyman, upgrades Copilot for user privacy. Meta faces privacy concerns in Europe. Viral AI doll raises privacy worries. Bias in AI systems addressed through synthetic data. Consumer trust in AI influenced by fairness, security, and accountability. Implementing AI in the public sector focuses on fair, secure, and accurate usage. Gender bias in AI being challenged for fairness, innovation, and economic inclusion.

Articles we found interesting:

1. Mustafa Suleyman Details Microsoft Copilot's AI Upgrades Focused on User Privacy and Control link Highlight: Microsoft's EVP of AI, Mustafa Suleyman, announced major Copilot updates focused on personalization, memory, and user control to set it apart in …
2. Meta is once again playing with fire in Europe—and points to rivals Google and OpenAI link Highlight: The company's AI training efforts had been hampered by stringent European Union data privacy laws, which give people control over how their personal …
3. Everyone wants the viral AI doll – but it's a privacy nightmare waiting to happen | TechRadar link Highlight: Millions have already given away their face and sensitive data to jump on the latest viral AI trend.
4. Shadow AI: the risks of the AI you don't see - Lexology link Highlight: Bias and Other Ethical Issues: Bias is an issue that plagues most AI systems, and if a specific AI tool has been trained on biased datasets, this …
5. Unlocking AI's Potential with Synthetic Data: A Secure, Scalable, and Unbiased Approach link Highlight: Bias in AI is one of the most widely discussed challenges in artificial intelligence development. Traditional datasets often reflect the biases …
6. Strategic AI readiness for cybersecurity: From hype to reality - Help Net Security link Highlight: … bias. Scalable infrastructure and secure deployment: AI models require high computational power to process large datasets and run complex …
7. Study reveals key paradoxes influencing consumer trust in AI - FutureCIO link Highlight: … AI responsibly, prioritising fairness, security, and accountability. Succeeding in the AI era. "For AI to deliver real business value …
8. Implementing AI in the public sector: Four tips to enhance adoption | THINK Digital Partners link Highlight: You have to demonstrate the importance of the framework, why shortcuts shouldn't be taken, and the impact on fair, secure and accurate AI usage,” …
9. Breaking the Gender Bias In The Age Of AI - BW People link Highlight: Empowering women in AI is essential for fairness, innovation, economic inclusion, and a truly representative technological future.

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