Singapore – With many mass consumers experimenting with the potential of generative artificial intelligence (AI), a new report from Capgemini Research Institute reveals that 73% of consumers globally trust content generated by AI, more specifically in assisting in financial planning, medical diagnosis, and relationship advice.
The research notes that 53% of consumers trust AI-generated content for financial planning, 67% for medical diagnosis, and 66% using generative AI tools for seeking advice from in terms of personal relationships or life and career plans.
However, it is also worth noting that consumer awareness around the ethical concerns and misuse of generative AI is low. The data notes that 49% of consumers remain unconcerned by the prospect of generative AI being used to create fake news stories, and just 34% of respondents are concerned about phishing attacks.
In addition, only 33% are worried about copyright issues and only 27% are worried about the use of generative AI algorithms to copy competitors’ product designs or formulas.
In terms of businesses adopting generative AI tools, 43% of global consumers are keen for organisations to implement generative AI throughout customer interactions, and 50% consumers have a positive reception to the highly immersive and interactive experiences that this technology can enable.
For Niraj Parihar, CEO of the insights and data global business line and member of the group executive committee at Capgemini, awareness of generative AI amongst consumers globally is remarkable, and the rate of adoption has been massive, yet the understanding of how this technology works and the associated risks is still very low.
“Whilst regulation is critical, business and technology partners also have an important role to play in providing education and enforcing the safeguards that address concerns around the ethics and misuse of generative AI. For example, our role at Capgemini is to help clients cut through the hype and leverage the most relevant use cases for their specific business needs, within an ethical framework,” Parihar said.
He added, “Generative AI is not ‘intelligent’ in itself; the intelligence stems from the human experts who these tools will assist and support. The key to success therefore, as with any AI, is the safeguards that humans build around them to guarantee the quality of its output.”
