The rapid development of generative AI technology has resulted in declining public trust in the AI industry, according to the 2024 Edelman Trust Barometer, a large-scale survey of over 32,000 respondents across 28 countries. There has been a significant drop in global confidence in AI companies, with trust levels falling from 61% to 53% in just five years. In the U.S., the decline has been even more pronounced, with trust plummeting from 50% to 35%.
The technology sector, which was once well-trusted by the public, is losing its reputation, with its position as the most trusted industry in 90% of surveyed countries falling to just 50% today. Particular concern arises when looking at specific technologies; while 76% of global respondents trust tech companies on the whole, the trust in AI falls to 50%.
The survey also highlighted a divide between developed and developing nations in their attitudes towards AI, with respondents from developing markets showing significantly more acceptance of AI than their counterparts in developed nations. Factors such as privacy concerns, the devaluation of humanity, and inadequate testing are cited as barriers to AI adoption, while in the U.S. the fears are more focused on societal harm and threats to personal well-being.
Recent controversies within the AI industry, such as data leaks and insider revelations, have exacerbated public concerns and further eroded trust. To regain trust, the Edelman report recommends businesses collaborate with governments to guarantee responsible AI deployment and earn public confidence through comprehensive testing.
The dissonance surrounding generative AI reflects a deeper tension between our innate desire for progress and our fear of the unknown. However, it’s pertinent to remember that the anxiety surrounding the technology is not a new phenomenon, but reflective of historical patterns associated with transformative innovations.
The rapid pace of AI development, in comparison to previous technological revolutions, emphasise the current dissonance between adoption and mistrust. This has highlighted the inadequacy of existing legal, ethical, and social structures to keep up with the transformative power of AI. Guiding generative AI towards the greater good will demand open dialogue, willingness to address difficult questions, and an endeavour to build understanding and trust.
