technology artificial intelligence
Business Wire
Published on : Oct 6, 2023
Thoughtworks, a global technology consultancy that integrates strategy, design and engineering, today released findings from a new global study that reveals there is consumer appetite for businesses using generative AI (GenAI) in the innovation of products and services, yet only where businesses are transparent and proactively communicate how they are using it. The research examines what consumers expect from businesses to maintain their GenAI social license to innovate with emerging regulations.
Among the key findings:
Speaking on the report’s findings, Mike Mason, chief AI officer, Thoughtworks, said, “In a world where trust is paramount, businesses must understand that gaining the public’s confidence through ethical AI is not just a regulatory obligation, it's a strategic advantage. For decades, Thoughtworks has advised our clients on how to tap into the full advantage of the latest emerging technology while also building responsible governance into business processes to protect customers’ trust.”
Vanson Bourne’s principal research manager, Lauren Woodley said, “Thoughtworks took a unique perspective to the fast-paced topic of GenAI, exploring how consumers feel when interacting with businesses that use it. The findings are alarming, with consumers stating many concerns surrounding how businesses use their GenAI-related data. This emphasizes the social responsibility businesses have in building trust and reassuring consumers. If businesses are able to tackle the concerns through being proactive and transparent, the future of GenAI looks positive – from more innovative products / services, to an improved customer experience, the results do indicate feelings of excitement among consumers. But the overshadowing cloud of fear must be lifted first.”
Mason continued, “GenAI offers endless possibilities. We’re helping our clients experiment to prove out new capabilities that survey respondents are excited about, such as idea generation for more innovative products, faster support and more personalized experiences and then productionizing those experiments as enterprise-grade software.”