76% of EMEA consumers believe AI will make a significant impact in the next five years, yet 47% doubt the value AI will bring and 41% are concerned about its applications.
That’s according to research from the AI analytics company for business Alteryx.
Since the release of ChatGPT by OpenAI in November 2022, there has been considerable buzz about the transformative potential of genetic AI, with many considering it one of the most revolutionary technologies of our time.
With a significant 79% of organizations reporting that genetic AI is making a positive contribution to business, it is clear that there is a gap to be addressed to demonstrate the value of AI to consumers in both their personal and professional lives. According to the report ‘Market Research: Attitudes and Adoption of Generative AI’, which polled 690 IT business leaders and 1,100 members of the general public in EMEA, key issues of trust, ethics and skills prevail, potentially hindering successful deployment and wider adoption acceptance of genetic artificial intelligence.
The impact of AI misinformation, inaccuracies and illusions
These hallucinations – where the AI produces incorrect or illogical results – are a major concern. Trust in what genetic AI produces is an important issue for business leaders and consumers alike. Over a third of the public is concerned about AI’s potential to produce fake news (36%) and its misuse by hackers (42%), while half of business leaders say they face misinformation generated by genetic artificial intelligence. At the same time, half of business leaders have observed their organizations struggle with disinformation generated by genetic artificial intelligence.
Additionally, the reliability of information provided by genetic artificial intelligence has been questioned. Feedback from the general public shows that half of the data received by AI was inaccurate and 38% considered it outdated. On the business front, concerns include creating AI that infringes copyright or intellectual property rights (40%) and producing unexpected or unintended results (36%).
A critical trust issue for businesses (62%) and the public (74%) revolves around AI illusions. For businesses, the challenge involves applying genetic AI to appropriate use cases, supported by the right technology and security measures, to mitigate these concerns. Almost half of consumers (45%) support regulatory measures for the use of artificial intelligence.
Ethical concerns and risks still exist in the use of genetic artificial intelligence
In addition to these challenges, there are strong and similar feelings about the ethical concerns and risks associated with creating artificial intelligence among business leaders and consumers alike. More than half of the general public (53%) oppose the use of genetic artificial intelligence in ethical decision-making. Meanwhile, 41% of business respondents are concerned about its application in critical decision-making areas. There is discrimination in the specific areas where its use is discouraged. Consumers mostly oppose its use in politics (46%) and businesses are wary of its deployment in healthcare (40%).
These concerns find some validation in the research findings, which highlight worrying gaps in organizational practices. Only a third of leaders confirmed that their businesses ensure that the data used to train genetic AI is diverse and unbiased. Additionally, only 36% have set ethical guidelines and 52% have established data privacy and security policies for AI production applications.
This lack of emphasis on data integrity and ethical considerations puts businesses at risk. 63% of business leaders cite ethics as their top concern with genetic AI, closely followed by data-related issues (62%). This scenario highlights the importance of better governance to build trust and mitigate the risks associated with how employees use genetic AI in the workplace.
The rise of productive artificial intelligence skills and the need for improved data literacy
As genetic AI evolves, building relevant skill sets and enhancing data literacy will be key to realizing its full potential. Consumers are increasingly using AI technologies in a variety of scenarios, including information retrieval, email communication, and skill acquisition. Business leaders claim to be using genetic AI for data analysis, cybersecurity and customer support, and despite the success of the pilot projects, challenges remain. Despite the reported success of pilot projects, several challenges remain, including security issues, data privacy issues, and quality and reliability of results.
Trevor Schulze, CIO of Alteryx, emphasized the need for businesses and the general public to fully understand the value of AI and address common concerns as they navigate the early stages of AI adoption.
He noted that addressing issues of trust, ethical concerns, skills shortages, fears of privacy invasion and algorithmic bias are critical tasks. Schulze highlighted the need for enterprises to accelerate their data journey, adopt strong governance and enable non-technical people to access and analyze data securely and reliably, addressing privacy and bias issues in order to truly benefit from this opportunity. game changing technology.
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