While 47% of customers in EMEA doubt AI’s worth and 41% are concerned about its applications, 76% of consumers believe AI will have a major influence over the next five years.
The study was conducted by Alteryx, an AI company specializing in enterprise analytics.
Many people believe that generative AI is one of the most revolutionary technologies of our time, and there has been a lot of talk about the transformative potential of this technology since OpenAI released ChatGPT in November 2022.
Given that generative AI is positively impacted by business, as reported by a substantial 79% of organizations, there is a need to close this gap and show consumers the value of AI in both their personal and professional lives. The report titled “Market Research: Attitudes and Adoption of Generative AI” reveals that there are significant challenges related to trust, ethics, and skills among 690 IT business leaders and 1,100 general public members in EMEA. These issues could hinder the effective implementation and wider adoption of generative AI.
The effects of false information, errors, and artificial intelligence delusions
These hallucinations, in which AI produces erroneous or nonsensical results, are a serious cause for concern. Business executives and consumers alike have serious concerns about trusting the results of generative AI. More than one-third of the public expresses concern about AI’s ability to produce false information (36%) and be abused by hackers (42%), and half of company executives say they have struggled with misinformation created by generative AI. Concurrently, fifty percent of company executives have witnessed their companies struggling with false information generated by artificial intelligence.
Furthermore, there have been doubts raised regarding the accuracy of the data produced by generative AI. Public feedback shows that 38% of people thought the data from AI was out of date and that half of the data was erroneous. Concerns regarding generative AI’s impact on the commercial front include its potential to violate intellectual property rights (40%) and produce unexpected or unwanted results (36%).
AI hallucinations are a major source of distrust for both the public (74%) and corporations (62%). To allay these worries, enterprises must deploy generative AI to relevant use cases that are bolstered by proper technology and safety precautions. Nearly half of consumers (45%) support legislation limiting the use of artificial intelligence.
There are still hazards and ethical questions with using generative AI
In addition to these difficulties, consumers and corporate executives have strong opinions regarding the hazards and ethical issues surrounding generative AI. The majority of people (53%) are against using generative AI to make moral judgments. In the meantime, 41% of company respondents expressed concern regarding its use in crucial areas where decisions are made. There are differences in the specific domains in which its application is discouraged; for example, consumers strongly object to its use in politics (46%), while businesses express caution about its application in the healthcare industry (40%).
The research findings provide some confirmation for these concerns by highlighting gaps in organizational practices. Merely 33% of executives attested to their companies’ efforts to guarantee that the data utilized for generative AI training is impartial and various. Moreover, only 52% of organizations have created data security and privacy rules, and only 36% have specified ethical standards for generative AI applications.
Businesses are at risk because of this disregard for ethical issues and data integrity. The main concern that corporate leaders have with generative AI, according to 63% of them, is ethics. Data-related concerns come in second (62%). This hypothetical situation highlights how crucial improved governance is to fostering trust and reducing dangers associated with workers’ use of generative AI at work.
Growing proficiency with generative AI and the requirement for improved data literacy
Realizing the full potential of generative AI will depend on developing pertinent skill sets and improving data literacy as technology advances. Regenerative AI technologies are being used by consumers more and more in a variety of contexts, such as email correspondence, skill development, and information search. Despite the success of experimental projects, business executives claim to employ generative AI for data analysis, cybersecurity, and customer service. However, there are still issues. Notwithstanding the apparent achievements of experimental initiatives, many obstacles still need to be overcome. These include concerns about data privacy, output quality and reliability, and security.
As they negotiate the early phases of generative AI adoption, Trevor Schulze, CIO at Alteryx, emphasized how important it is for businesses and the general public to properly comprehend the potential of AI and address common concerns.
He pointed out that it’s imperative to solve issues with trust, ethics, skills shortages, privacy invasion fears, and algorithmic bias. For businesses to truly benefit from this “game-changing” technology, Schulze emphasized that they must accelerate their data journey, implement strong governance, and permit non-technical people to access and analyze data securely and dependably. They also need to handle privacy and bias concerns.