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  2. As AI becomes standard, watch for these 4 DevSecOps trends

    techcrunch.com/2024/01/07/as-ai-becomes-standard...

    The evolution of AI in DevSecOps is already transforming code testing, and the trend is expected to accelerate. GitLab’s research found that only 41% of DevSecOps teams currently use AI for ...

  3. Regulation of AI in the United States - Wikipedia

    en.wikipedia.org/wiki/Regulation_of_AI_in_the...

    Discussions on regulation of artificial intelligence in the United States have included topics such as the timeliness of regulating AI, the nature of the federal regulatory framework to govern and promote AI, including what agency should lead, the regulatory and governing powers of that agency, and how to update regulations in the face of rapidly changing technology, as well as the roles of ...

  4. With the EU AI Act incoming this summer, the bloc lays out ...

    techcrunch.com/2024/05/29/with-the-eu-ai-act...

    One key upcoming role for the AI Office will be in drawing up Codes of Practice and best practices for AI developers — which the EU wants to play a stop-gap role while the legal rulebook is ...

  5. Ethics of artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Ethics_of_artificial...

    The term "robot ethics" (sometimes "roboethics") refers to the morality of how humans design, construct, use and treat robots. [14] Robot ethics intersect with the ethics of AI. Robots are physical machines whereas AI can be only software. [15] Not all robots function through AI systems and not all AI systems are robots.

  6. Best practices for developing a generative AI copilot for ...

    techcrunch.com/2023/11/21/best-practices-for...

    The 5 S’s of Model Selection can help developers decide which type of model is right for them: Smarts: Through fine-tuning, open source models can absolutely outperform closed models on narrow ...

  7. Artificial intelligence in healthcare - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence_in...

    v. t. e. Artificial intelligence in healthcare is the application of artificial intelligence (AI) to copy human cognition in the analysis, presentation, and understanding of complex medical and health care data, or to exceed human capabilities by providing new ways to diagnose, treat, or prevent disease. [1] [2] Specifically, AI is the ability ...

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