Harnessing AI Power: Ethical Usage and Risk Management

Impacting AI Boundaries: A Buyer's Guide

With businesses rapidly adopting Artificial Intelligence (AI) to boost performance and competitiveness, it's imperative to consider internal and external controls on their use. Controlling AI can address significant risks like model errors, biased outcomes or uncontrolled data usage, all of which can hinder efficiency and breach regulations.

Internal corporate AI policies play a crucial role. Primarily, these policies need to be extended externally to software suppliers to prevent complications like bias in model design and uncontrolled usage of customer data.

But how can you implement these controls? The process begins by first identifying AI in use. With a surge in interest in generative AI, many suppliers now clearly highlight AI's role within their service offerings. It means defining AI and integrating it into the identification process.

From there, contractual agreements come into play. These may set procurement of consent for new AI solutions, restriction on the way AI is used, or obligations on suitable use.

Which approach customers want to use while imposing control on AI depends on the specific context of the commercial deal. Three broad tactics emerge: a) imposing controls on AI as a general concept, b) directing controls on a supplier's current AI-specific service offerings, c) imposing controls equivalent to current legislative compliance.

Notably, the EU AI Act is now becoming the core for contractual positions. The EU AI Act categorizes AI systems into four tiers based on risk levels. Contracts then align with requirements defined by the relevant risk level.

As various jurisdictions start considering their AI regulations, contracting methods are likely to advance in harmony with the EU AI Act.

Once AI's usage is permitted, the crux is ensuring it functions accurately. Customers considering using AI systems may leverage pilot phases to trial new systems, mitigating risks through progression. Ultimately, effective and ongoing assessment throughout an AI system’s lifecycle is non-negotiable.

Are you taking the necessary precautions while implementing AI solutions?

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#AIControl #AIBuyerGuide #AISolution #AIPolicies

In this thought-provoking video, we delve into the critical issue of implementing controls on AI usage to mitigate risks and foster ethical practices in the business world. As artificial intelligence continues to revolutionize industries, it's essential to ensure that its deployment is guided by responsible and ethical principles.

Join us as we explore the potential pitfalls of unchecked AI implementation and the importance of establishing robust governance frameworks. We'll examine real-world case studies, analyze the impact of AI on businesses and society, and discuss practical strategies for organizations to navigate the complex landscape of AI ethics.

Whether you're a business leader, a technology enthusiast, or simply someone concerned about the future of AI, this video offers valuable insights and practical guidance to help shape a future where the benefits of AI are harnessed responsibly and ethically.

Don't forget to like and share this video to raise awareness on this crucial topic. #AIEthics #AIGovernance #ai
OUTLINE:

00:00:00 The Power and Responsibility of AI in Business
00:02:07 Risks in AI
00:03:14 Imposing Controls
00:04:47 Call to Action