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Responsible AI Standards

What Are Responsible AI Standards? The Simple Definition

A set of principles and guidelines to ensure that an organization’s AI systems are developed in a way that’s ethical, transparent, and fair.

The Technical Definition

Responsible AI Standards refer to a set of guidelines, principles, and best practices established to ensure that the development, deployment, and use of artificial intelligence (AI) systems adhere to ethical, legal, and societal norms.

These standards aim to promote transparency, fairness, accountability, and the responsible use of AI technologies, mitigating potential risks and harmful consequences associated with AI applications.

Explain It Like I’m Five

Think of Responsible AI Standards like rules for using AI. Just like there are rules for playing games to make sure everyone has fun, these rules make sure AI is used in a fair and safe way, so it doesn’t hurt anyone or make unfair decisions.

It’s like having a referee in a game to make sure everyone plays by the rules and nobody cheats.

Use It At The Water Cooler

How to use “Responsible AI Standards” in a sentence at work:

“We need to adhere to Responsible AI Standards in our AI development process to make sure our technology respects ethical guidelines and doesn’t discriminate against any group of users.”

Related Terms

Artificial Intelligence (AI), Adverse Impact Analysis

Additional Resources

New York DFS AI Regulation, What Insurers Need To Know

New York DFS AI Regulation, What Insurers Need To Know

A must-read for insurance professionals. Instead of combing through pages and pages of legislation, this overview highlights everything you need to know. Understand fairness principles, and what is required for regulatory compliance for insurers licensed in New York. Stay informed about the best practices in AI governance to prevent discrimination and ensure transparency in insurance processes.

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