A recent study by Deloitte Consulting delves into public perception of artificial intelligence, focusing on trust and ethics within technology. The report, titled “The State of Ethics and Trust in Technology,” reveals significant insights into the concerns and hopes surrounding AI’s impact on society.

According to the study, cognitive technologies such as AI were identified as having the highest potential for serious ethical risks, with 54 percent of respondents expressing this concern. This was notably higher than the 16 percent who cited digital reality. Additionally, a substantial 40 percent of those surveyed highlighted data privacy as a primary issue linked to generative AI.

Despite these concerns, the findings show that 46 percent of respondents acknowledge the potential for cognitive technologies to yield significant social benefits. This duality reflects the ongoing polarization in public opinion since AI emerged.

The report indicates a slight decrease in suspicion towards AI, with a 3 percent drop from 2023. Conversely, the optimism regarding AI as a force for good has increased by 7 percent, suggesting that growing familiarity with AI technologies is improving comfort levels within business and IT sectors.

However, the survey warns that the rapid adoption of generative AI is outpacing many organizations’ ability to govern the technology effectively. The ethical implications and governance challenges remain critical topics of discussion.

What Can Be Done?

Building trust is essential in the discourse surrounding AI technology, often fueled by media portrayals of AI turning rogue. Deloitte’s study emphasizes the necessity of establishing effective governance frameworks to cultivate public trust.

The report highlights concerns regarding reputational damage for organizations failing to adhere to ethical standards in technology use. ‘AI is a powerful tool, but it requires guardrails,’ the report states, underlining the need for robust governance practices to gain buy-in from employees and customers alike.

Is AI Reliable?

In addition to ethical concerns, recent studies have cast doubt on the accuracy of generative AI outputs. Research shows that AI systems struggle with tasks perceived as easy by humans, often providing ‘sensible yet wrong’ answers. ‘Scaled-up models tend to give an apparently sensible yet wrong answer much more often,’ noted Lexin Zhou, a researcher at Spain’s Polytechnic University of Valencia.

Deloitte suggests appointing Chief Ethics Officers to oversee AI governance. These officers would ensure processes for safe and accurate AI use, embedding ethical principles throughout the technology development lifecycle. ‘Embedding ethical principles early and repeatedly can help demonstrate a fuller commitment to trust,’ stated Bill Briggs, Chief Technology Officer at Deloitte Consulting.

Organizations must provide clear processes and safeguards to ensure AI users can trust the reliability of outputs while avoiding issues like intellectual property theft. As Lori Lewis, Senior Manager at Deloitte Consulting, cautioned, ‘The increasing scale of generative AI adoption may heighten the ethical risks of emerging technologies.’

For further reading on the implications of ethical AI, explore the available resources on generative AI ethics and AI policy and governance.