Low-Risk, High-Reward with AI?

A High-Risk, High-Reward Opportunity

Artificial intelligence presents a high-risk, high-reward opportunity for businesses. The risks are making many executives nervous. At least 72% of companies temporarily paused their AI and gen AI projects in the past year due to concerns about the potential risks of AI. In addition, only one percent feel fully prepared to adapt to new AI-related laws over the next five years. Plus, 45% believe “there’s better than a one-in-four chance of a major AI incident occurring in the next 12 months.”

The Rise of Responsible AI

To address this, attention has turned to “responsible AI,” which is not only seen as a compliance tool, but also as a boost to business.

A Global Survey

That’s the word from a recent global survey of 1,000 companies, conducted and published by Accenture and Amazon Web Services. The report’s co-authors also point to Fortune 500 companies’ annual reports, in which 56% cite AI as a “risk factor” — up from just nine percent a year ago.

Defining Responsible AI

Enter responsible AI, part of a movement that seeks to promote actions to design, deploy and use AI to mitigate risk and build trust. The International Standards Organization offers the following definition:

“Responsible AI is the practice of developing and using AI systems in a way that benefits society while minimizing the risk of negative consequences. It’s about creating AI technologies that not only advance our capabilities, but also address ethical concerns — particularly with regard to bias, transparency and privacy. This includes tackling issues such as the misuse of personal data, biased algorithms, and the potential for AI to perpetuate or exacerbate existing inequalities. The goal is to build trustworthy AI systems that are, all at once, reliable, fair and aligned with human values.”

Benefits of Responsible AI

Does the initiation and support of responsible AI practices help ensure against the technology’s worst abuses? It may help, and there’s another positive side the Accenture/AWS survey finds — responsible AI “contributes to value creation in many ways, ranging from customer satisfaction to product quality,” the co-authors found.

Internal Benefits

Embedding responsible AI practices into technologies and processes may be natural to a forward-looking and responsible overall corporate culture that goes a long way toward delivering both employee and customer joy.

External Benefits

The survey found that companies investing in responsible AI expect a majority of executives anticipate total enterprise revenues to “increase by 11% or more over three years with fully developed responsible AI capabilities.” Another 25% say responsible AI practices will help increase customer loyalty and satisfaction and a 21% reduction in customer turnover.

Advice for Pursuing Responsible AI

The Accenture/AWS authors offer some advice for pursuing the path to responsible AI:

• Measure Results: Responsible AI isn’t just a feel-good action intended to look and sound plausible. It’s important to measure, on a regular basis, the impact of responsible AI actions “across various areas to demonstrate tangible benefits,” the co-authors urge. “By regularly measuring the impact of responsible AI across areas like financial performance, experience and compliance, a business can demonstrate its tangible benefits. With clear metrics, organizations can track progress and identify areas for refinement.”
• Be “Responsible by Design,” Not as an Add-on or Afterthought: “Embed responsible AI in the core of the business, ensuring ethical, transparent, and fair AI practices from the start.”
• Aadopt a Platform Approach: “A platform approach integrates responsible AI principles across all AI initiatives, enhancing scalability, risk management and operational efficiency – often with greater automation.”

Conclusion

Responsible AI is not just a compliance tool, but a boost to business. By embedding responsible AI practices into technologies and processes, companies can create value, improve customer satisfaction, and reduce risk. By following the advice outlined in this article, companies can ensure that their AI initiatives are both successful and ethical.

FAQs

* What is responsible AI?
+ Responsible AI is the practice of developing and using AI systems in a way that benefits society while minimizing the risk of negative consequences.
* Why is responsible AI important?
+ Responsible AI is important because it helps to ensure that AI systems are designed, deployed, and used in a way that is ethical, transparent, and fair.
* What are the benefits of responsible AI?
+ The benefits of responsible AI include increased customer satisfaction, improved product quality, and reduced risk.
* How can companies pursue responsible AI?
+ Companies can pursue responsible AI by embedding responsible AI practices into their technologies and processes, measuring the impact of responsible AI actions, and adopting a platform approach.