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.

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 6 Principles you need to focus on are as follows:

Implementing new knowledge requires more than just learning; it demands a well-thought-out strategy for execution within your organization.

As you craft your strategy for implementing a user-facing AI system, you’ll encounter three lifecycle stages, each of which comes with benchmarks that help you make an impact while protecting your business, customers, and community.

Identify high-priority areas within your AI development and how you will track the process, review, and secure approvals.

Questions to ask at this stage include:

From data collection to supporting fairness in performance and representation, build your AI systems responsibly.

Questions to ask at this stage include:

As you deploy, it’s critical to empower the right people and reinforce common practices to fortify responsible AI use, operationalization, and performance metrics.

Questions to ask at this stage include:

You don't have to navigate this complex and confusing space alone. Our team has been deeply invested in AI for almost a decade.

We have tools and templates to help get you started. 

We can help you develop your AI strategy.
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