AI News 2024年10月08日
King’s Business School: How AI is transforming problem-solving
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该研究表明AI正在改变全球问题解决方式。近半Wazoku问题解决者网络成员在过去一年使用GenAI,其成员多样。多种应用中,GenAI在研究和学习方面最常用,Wazoku Crowd解决问题成功率超80%。虽AI有巨大潜力,但仍需谨慎使用,它应辅助而非替代人类创造力和解决问题的能力。

🧐近半(46%)的Wazoku的70万强大问题解决者网络成员在过去一年利用生成式AI(GenAI)进行创新想法的工作,该网络成员包括多种专业人士。

😮近四分之一(22%)的受访者称使用GenAI或LLM工具如ChatGPT和Claude完成至少一半的想法提交,8%的人每次提交都用这些技术,且47%的人用GenAI专门进行想法生成。

👍Wazoku Crowd以超80%的成功率解决企业提交的‘挑战’,其集体智慧得以发挥,GenAI最常见应用是研究和学习,约三分之一的成员用于报告结构、写作等。

⚠️Wazoku的CEO Hill认为GenAI虽有潜力,但最好用于引发兴趣而非提供解决方案,人类的创造力仍是最好的,不过GenAI可使过程更有效。

A new study by researchers at King’s Business School and Wazoku has revealed that AI is transforming global problem-solving.

The report found that nearly half (46%) of Wazoku’s 700,000-strong network of problem solvers had utilised generative AI (GenAI) to work on innovative ideas over the past year. This network – known as the Wazoku Crowd – comprises a diverse group of professionals including scientists, pharmacists, engineers, PhD students, CEOs, start-ups, and business leaders.

Perhaps more strikingly, almost a quarter (22%) of respondents reported using GenAI or LLM tools such as ChatGPT and Claude for at least half of their idea submissions, with 8% employing these technologies for every single submission. Of those using GenAI, 47% are leveraging it specifically for idea generation.

The Wazoku Crowd’s collective intelligence is harnessed to solve ‘challenges’ – requests for ideas submitted by enterprises – with an impressive success rate of over 80%.

Simon Hill, CEO of Wazoku, commented on the findings: “There’s an incredible amount of hype with GenAI, but alongside that there is enormous curiosity. Getting immersed in something and being curious is an innovator’s dream, so there is rich potential with GenAI.”

However, Hill also urged caution: “A note of caution, though – it is best used to generate interest, not solutions. Human ingenuity and creativity are still best, although using GenAI can undoubtedly make that process more effective.”

The study revealed that the most common application of GenAI was in research and learning, with 85% of respondents using it for this purpose. Additionally, around one-third of the Wazoku Crowd employed GenAI for report structuring, writing, and data analysis and insight.

The research was conducted in partnership with Oguz A. Acar, Professor of Marketing and Innovation at King’s Business School, King’s College London. Professor Acar viewed the study as a crucial first step towards understanding AI’s potential and limitations in tackling complex innovation challenges.

“Everyone’s trying to figure out what AI can and can’t do, and this survey is a step forward in understanding that,” Professor Acar stated. “It reveals that some crowd members view GenAI as a valuable ally, using it to research, create, and communicate more effectively.”

“While perhaps it’s no surprise that those open to innovation are curious about new tools, the survey also shows mixed opinions. Most people haven’t used GenAI tools yet, highlighting that we’re only beginning to uncover AI’s potential in innovative problem-solving.”

Wazoku collaborates with a range of customers, including Sanofi, A2A, Bill & Melinda Gates Foundation, and numerous global enterprise businesses, government departments, and not-for-profits, to crowdsource ideas and innovation.

Recently, Wazoku launched its own conversational AI to aid innovation. Dubbed Jen AI, this digital innovation assistant has access to Wazoku’s connected innovation management suite—aimed at accelerating decision-making around innovation and enhancing productivity to deliver consistent, scalable results.

“The solutions to the world’s problems are complex, and the support of AI brings vast benefits in terms of efficiency, creativity, and insight generation,” explained Hill.

As the adoption of AI in innovation processes continues to grow, it’s clear that – while these tools offer significant potential – they are best used to augment rather than replace human creativity and problem-solving skills.

(Photo by Ally Griffin)

See also: Ivo Everts, Databricks: Enhancing open-source AI and improving data governance

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