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Tech, AI and Beyond

Tech, AI and Beyond

著者: Tech AI and Beyond
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Welcome to a world where technology meets imagination, where artificial intelligence shapes our future, and where every discovery is a step into the unknown. Welcome to Tech, AI & Beyond.Tech, AI and Beyond
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  • Who Controls AI? The Global Governance Debate [5]:
    2025/12/21
    As AI’s influence grows, governments and organizations are racing to regulate it. In this episode, we navigate the global landscape of AI governance, from the EU AI Act’s risk-based approach to the U.S. NIST AI Risk Management Framework. We’ll also explore the role of international standards in creating a common language for AI trust and security. Through examples like the OECD AI Principles and GDPR’s impact on AI, you’ll understand why the era of self-regulation is ending and why compliance is becoming as critical as innovation.#aiethics #aigovernance #TRISM #AISafety #aitrust #aisecurity #airisks #responsibleai #Cybersecurity #DigitalTransformation #AIEthics #airegulations #aiinclassroom #TechSecurity
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    9 分
  • The Fight for Secure AI: Countering Adversarial Tactics [4]:
    2025/12/19
    AI systems are vulnerable in ways traditional software isn’t. In this episode, we enter the cybersecurity battlefield of AI, where adversaries exploit weaknesses in machine learning models. We’ll explore adversarial examples subtle manipulations that trick AI into making mistakes and model poisoning, where training data is corrupted to sabotage performance. We’ll also discuss AI red teaming, the practice of ethically hacking AI to uncover vulnerabilities before malicious actors do. From tricking Tesla’s Autopilot with stickers to the downfall of Microsoft’s Tay chatbot, you’ll see why defending AI requires new strategies that go beyond firewalls and encryption.#aiethics #aigovernance #TRISM #AISafety #aitrust #aisecurity #airisks #responsibleai #Cybersecurity #DigitalTransformation #AIEthics #airegulations #aiinclassroom #TechSecurity
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    12 分
  • Explainable AI: Bridging Trust and Transparency [3]:
    2025/12/17
    If an AI makes a life-changing decision like approving a loan or diagnosing a disease how can we trust it if we don’t understand why it made that choice? In this episode, we tackle the "black box" problem head-on, exploring the field of Explainable AI (XAI). We’ll break down key techniques like LIME and SHAP, which help demystify complex AI models, and discuss how fairness metrics can audit algorithms for bias. Through examples like Google’s "What If Tool" and DARPA’s XAI program, you’ll discover why transparency and accountability are not just technical challenges they’re the foundation of trustworthy AI.#aiethics #aigovernance #TRISM #AISafety #aitrust #aisecurity #airisks #responsibleai #Cybersecurity #DigitalTransformation #AIEthics #airegulations #aiinclassroom #TechSecurity
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    11 分
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