Meta has refused to sign the European Union’s code of practice, although the AI Act (effective August 2, 2025) is legally binding, whereas this Code is voluntary. It will have implications to how we approach AI security with our clients. Meta is currently the only major U.S. tech firm declining to sign the code, OpenAI and Mistral have committed to signing; Microsoft is “likely to” (Reuters). Thoughts?

If you're diving into the world of AI or implementing AI for companies, embrace best practices right from the start to avoid the pitfalls! Here are a few key pointers to keep you on the right track: 🤖 Data is King - Ensure you have quality, diverse datasets to avoid biases. Garbage in, garbage out, as they say! 🔐 Ethical Responsibility - Be transparent about your AI's capabilities and limitations. Don't overpromise and underdeliver. 👥 Cross-Disciplinary Teams - Combine tech experts with domain specialists for a well-rounded approach to problem-solving. 🔄 Continuous Learning - AI isn't a set-it-and-forget-it deal. Constantly train and retrain your models for accuracy. 🌐 Security & Privacy - With great power comes great responsibility. Protect user data like it's your own. Adopt these best practices, and you'll be well on your way to AI success! 🚀 #AI #BestPractices #MachineLearning #DataScience #EthicalAI

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AI can automate almost anything—but if we don’t secure it, we create more problems than we solve. So here’s a challenge: Pick one small AI process you’ve implemented (or plan to) and map out what could go wrong. ✅ Could someone spoof the inputs? ✅ Is data encrypted at rest and in transit? ✅ Does it log activity for review? Then… share your answers below. I’ll be here giving feedback and suggestions 💬 Let’s get used to thinking like builders AND defenders.

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