We’re thrilled to announce that Holistic AI has been selected as an inaugural member of the National Institute of Standards and Technology (NIST)’s U.S. AI Safety Institute Consortium (AISIC).
The creation of AISIC is a step towards supporting the U.S. Artificial Intelligence Safety Institute (USAISI), an Institute established under the NIST to advance safe and trustworthy AI. AISIC aims to develop science-based and empirically-backed guidelines and standards for AI measurement and policy, laying the foundation for AI safety across the world.
We are excited about the opportunity to collaborate with the AISIC, engage in working groups, and share our knowledge in creating and implementing trustworthy AI systems.
As AI innovation surges forward, so do concerns over associated risks and harms. With regulators worldwide intensifying their focus on governing AI, including initiatives like the US AI Executive Order, UK’s AI Regulation Bill, G7’s International Guiding Principles and a Code of Conduct on Governing Advanced AI Systems and the EU AI Act, enterprises must prioritize integrating AI governance mechanisms. Doing so is essential for effectively managing risks and confidently scaling AI operations.
At Holistic AI, we're committed to ensuring that AI can be relied upon to fulfil its transformative potential for society. Central to this goal is the responsible development and deployment of AI, which begins with robust AI governance. AI governance encompasses the principles and frameworks essential for ensuring the ethical and transparent use of AI and minimizing risks associated with its deployment.
Without effective governance practices in place, organizations expose themselves to potential legal, financial, and reputational risks stemming from misuse and biased outcomes generated by their AI systems. Thus, implementing AI governance becomes imperative to mitigate these threats and foster trust in AI technologies on a broader scale.
Holistic AI takes a proactive approach by collaborating with regulators, policymakers, enterprises, and academia to promote the advancement of responsible, risk-based, and globally applicable AI standards.
DISCLAIMER: This blog article is for informational purposes only. This blog article is not intended to, and does not, provide legal advice or a legal opinion. It is not a do-it-yourself guide to resolving legal issues or handling litigation. This blog article is not a substitute for experienced legal counsel and does not provide legal advice regarding any situation or employer.
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