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Designing Responsible AI Solutions
Artificial Intelligence   Latest   Machine Learning

Designing Responsible AI Solutions

Last Updated on March 31, 2024 by Editorial Team

Author(s): Dr Richard Matthews – Chief AI Officer RHEM Labs

Originally published on Towards AI.

Microsoft’s 6 responsible AI Principles that we use at RHEM Labs

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At RHEM Labs, we run on trust, and we’re committed to building using the latest responsible AI solutions and guidelines to provide our partners and customers with secure platforms for business and data.

Image – MockUp by RHEM Labs

When you create technologies that can change the world, you must ensure they’re used responsibly. When you’re building a revolution, you need to do so responsibly. We partnered with Microsoft to bring the latest views on this vital topic to Australia. It’s about listening to those who have paved the way for innovators who boldly ventured into uncharted territories, braved risks, and successfully transitioned technology from ideation to real-world applications.

Understanding concerns around the potential misuse of technology intended to aid human productivity, RHEM Labs is committed to responsible AI by design. Development and deployment are grounded in principles of fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability. These principles are potent tools for identifying, measuring, and mitigating harm.

Leveraging our strong Microsoft partnership, we at RHEM Labs are committed to ensuring these principles are translated into the Australian ecosystem. That’s why we’re bridging the gap and bringing you the 6 responsible AI principles we’ve learned since we commenced our partnership.

The… Read the full blog for free on Medium.

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Published via Towards AI

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