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  • Building trust: Foundations of security, safety, and . . .
    Models publicly released to the community and developed according to open source principles could play a significant role in the future of AI models While most current efforts by model makers concentrate on security features, safety is equally important for responsible, ethical, and trustworthy use
  • 10 Ethical Considerations Shaping the Future of AI in Business
    Artificial Intelligence is reshaping business practices, bringing with it a host of ethical considerations This article explores key ethical aspects of AI implementation in business, drawing on insights from industry experts
  • AI Ethics : Challenges, Importance, and Future - GeeksforGeeks
    The future of AI ethics is promising to provide ethical guidelines to promote ethical AI The following contain the key aspects of how future of AI looks: Advancements in Ethical AI Research: Continued research and development efforts that include developing new algorithms, techniques, and methodologies have the capability of advancing the
  • What Is AI Safety? - IBM
    AI safety helps ensure that AI systems are used as responsibly as possible and that the future of AI is developed with human values in mind Developing and maintaining safe AI involves identifying potential AI risks (such as bias, data security and vulnerability to external threats) and creating processes for avoiding and mitigating these risks
  • The Future of AI Governance: What 2025 Holds for Ethical . . .
    In summary, as 2025 unfolds, regulatory bodies embracing a risk-based approach to AI governance will prioritize protecting fundamental rights and safety while fostering an environment that accelerates ethical innovation in AI technologies
  • Evaluating social and ethical risks from generative AI
    In our new paper, we propose a three-layered framework for evaluating the social and ethical risks of AI systems This framework includes evaluations of AI system capability, human interaction, and systemic impacts We also map the current state of safety evaluations and find three main gaps: context, specific risks, and multimodality
  • How far will AI go to defend its own survival? - NBC News
    Recent safety tests show some AI models are capable of sabotaging commands or even resorting to blackmail to avoid being turned off or replaced Some of the most powerful artificial intelligence





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