Dive brief:
- CIOs are concerned about the accuracy of information generated by AI as pressure to deploy the technology mounts, according to a survey by Juniper Networks in partnership with Wakefield Research.
- Nearly 9 in 10 technology leaders believe it may not be possible to tell if their company’s AI output is accurate, according to the survey of 1,000 global executives involved with AI in their organization.
- The vast majority of respondents, 91%, say that employees rely on AI more than they should. More than three-quarters of executives expect increased AI deployments to lead to more responsibilities for employees, according to the data.
Diving knowledge:
AI is making waves in businesses as deployments accelerate, and disruption will affect employee workflows, for better or worse.
While businesses are drawn to potential productivity gains and seamless user experiences, technology leaders will need to emphasize the importance of understanding and mitigating the risks of AI.
In terms of accuracy, many generative AI tools have been trained on data and information found on the Internet, which can have drawbacks. The wealth of knowledge provides these tools with information on a large number of topics, but the quality of this information is not always up to par.
Business leaders need to identify these risks to employees and train them on how to move forward while using generative AI. These tools have a tendency to hallucinate, for example, forcing employees to operate with a healthy level of skepticism when evaluating the results generated.
But mitigation techniques should not stop at fact-checking. Companies can work to ground the responses generated in accurate information by training solutions on internal data, which is what Juniper Networks is doing, according to the report.
Companies also know that the performance of generative AI solutions can change Monitoring tools can give CIOs insight into whether a tool’s accuracy is degrading over time and alert employees when necessary.
