What Are Guardrails in AI?The primary goal of generative AI guardrails is ensuring ethical and responsible AI systems that operate safely and within the boundaries of societal norms and regulations. As generative AI continues to advance and become widely adopted in industries like healthcare, finance...
Get to know and directly engage with senior McKinsey experts on AI guardrails Lareina Yeeis a senior partner in McKinsey’s Bay Area office, whereRoger Robertsis a partner;Mara Pomettiis a consultant in the London office; andStephen Xuis a senior director of product management in the Toronto...
The AI developers need to prioritize transparency and accountability. Governments have to put some guardrails in place with smart regulations. And we, as the public, have to educate ourselves on both the potential and pitfalls of AI. At the end of the day, AI is a powerful tool – but it...
With “seize the future” champions lined up squarely against “the end is nigh” critics of AI’s breakneck evolution, legislators are in the awkward spot of having to propose regulatory guardrails with little consensus on how to evaluate risks, anticipate capabilities, or plan for the technolog...
Editorial Lead, AI Models What is AI governance? Artificial intelligence (AI)governance refers to the processes, standards and guardrails that help ensure AI systems and tools are safe and ethical. AI governance frameworks direct AI research, development and application to help ensure safety, fairness...
What is the history of AI? The term “artificial intelligence” wascoined in 1956by computer scientist John McCarthy for a workshop at Dartmouth. But he wasn’t the first to write about the concepts we now describe as AI. Alan Turing introduced the concept of the “imitation game” in a...
“AI is going to be everywhere,” Greensaid. “If we want to live in a happy future and not a horrible one we need to be working hard on [safety] right now.” Frequently Asked Questions What are the safety concerns of AI? The safety concerns of AI vary widely. The most immediate ...
AI ethicsis a multidisciplinary field that studies how to optimize AI's beneficial impact while reducing risks and adverse outcomes. Principles of AI ethics are applied through a system ofAI governanceconsisted of guardrails that help ensure that AI tools and systems remain safe and ethical. ...
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Microsoft releasedversion 2of its "Responsible AI Standard," a guide for organizations managing AI risks and incorporating ethical AI governance into their strategies. Other companies that have committed to implementing governance standards and guardrails include Amazon, Anthropic, Google, IBM and Inflectio...