Tags: ethics* + large language model*

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  1. This article discusses the importance of integrating responsible AI practices with security measures, particularly within organizations like Grammarly. It emphasizes treating responsible AI as a product principle, securing the AI supply chain, and the interconnectedness of responsible AI and security. It also touches on the future of AI customization and control.


    The LinkedIn article, “Leading With Trust: When Responsible AI and Security Collide,” by Grammarly’s CISO Sacha Faust, argues that responsible AI isn’t just an ethical or compliance issue, but a critical security imperative.

    Key takeaways:

    • Responsible AI as a Product Principle: Organizations should integrate responsible AI into product design, asking questions about values alignment, employee enablement, and proactive risk identification.
    • Secure the AI Supply Chain: Organizations must trace AI model origins, evaluate vendors, and control key components (moderation, data governance, deployment) to mitigate risks.
    • Blur the Lines: Responsible AI and AI security are intertwined – security ensures systems work as intended, while responsible AI ensures they should behave a certain way.
    • Certification & Transparency: Frameworks like ISO/IEC 42001:2023 can signal commitment to AI governance and build trust.
    • Future Focus: Customization vs. Control: Leaders need to address policies and safeguards for increasingly customized and autonomous AI systems, balancing freedom with oversight.
  2. Grammarly has achieved ISO/IEC 42001:2023 certification, demonstrating its commitment to responsible AI development and deployment, focusing on security, transparency, and alignment with human values.

  3. The article explores the concept of consciousness, arguing for a reductionist approach by Alan J. McComas. It discusses how consciousness is a function of the brain, with neural activities often preceding awareness. The piece also examines the role of large language models in chatbots, highlighting potential manipulative techniques and the need for vigilance in interactions. Additionally, it addresses the integration of AI in research and evolving journal standards.

  4. Stay informed about the latest artificial intelligence (AI) terminology with this comprehensive glossary. From algorithm and AI ethics to generative AI and overfitting, learn the essential AI terms that will help you sound smart over drinks or impress in a job interview.

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