James Ball

Senior Content Writer & Software Project Manager

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When can we expect AI regulations to come into effect in the United States?

While AI regulations in the U.S. are still in the early stages, we may see some initial regulations in the next one to three years focused on high-risk use cases.

What aspects of AI will the upcoming U.S. regulations address?

Upcoming regulations will likely address requirements around transparency, explainability, accountability, testing/validation, and mitigating bias and discrimination.

Should I also consider regulations from outside the United States if my AI software operates globally?

Yes, you’ll need to consider regulations in every country that your AI software will operate, such as the EU’s AI Act, and build for the strictest requirements.

How can I proactively prepare my AI-powered software for impending regulations?

To prepare for the impending regulations, it’s a good idea to proactively audit for biases, implement explainability methods, ensure rigorous testing, tighten data security, and design flexible architecture.

What does "improve scalability" mean in the context of AI software preparation?

Improving scalability means structuring the software and infrastructure so AI models can be efficiently retrained on new data at scale. For this, you should use cloud and automation.

How can I enhance the flexibility of my AI software?

You can enhance the flexibility of your AI software by using modular, adaptable components and cloud deployment so models can be easily swapped in/out to meet new requirements.

What measures can I take to tighten data security in my AI-powered software?

Data security can be tightened through access controls, encryption, anomaly detection, network segmentation, and data lineage tracking. You will also need to regularly monitor your software for any misuse.

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