Generative artificial intelligence is magic to the untrained eye.
The magical abilities of generative AI can come with a side order of unhelpful tricks.
Whether it's ethical concerns, security issues, or hallucinations, users must be aware of the problems that can undermine the benefits of emerging technology.
Here, four business leaders explain how you can overcome some of the big concerns with generative AI. 1.
Birgitte Aga, head of innovation and research at Munch Museum in Oslo, Norway, says a lot of the concerns with AI are associated with people not understanding its potential impact - and with good reason.
Even a high-profile generative AI tool such as ChatGPT has only been available to the public for just over 12 months.
While many people will have dabbled with the technology, few enterprises have used the tool in a production environment.
She explains in a video chat with ZDNET how the museum is working with technology specialist TCS to find ways that AI can be used to help make art more accessible to a broader audience.
Avivah Litan, distinguished VP analyst at Gartner, says one of the key issues to be aware of is the pressure for change from people outside the IT department.
Also: 64% of workers have passed off generative AI work as their own.
As a result, there's a lot of tension between two groups: the people who want to use AI, and the people who need to manage its use.
Litan says the best way to allay concerns is to create a task force for AI that draws on experts from across the business and which considers privacy, security, and risk.
Thierry Martin, senior manager for data and analytics strategy at Toyota Motors Europe, says his biggest concern with generative AI is hallucinations.
He's seen these kinds of issues first-hand when he's tested generative AI for coding purposes.
Going beyond personal explorations, Martin says enterprises must pay attention to the large language models they use, the inputs they require, and the outputs they push out.
In a one-to-one video interview with ZDNET, Martin stresses that businesses must find ways to create more restrained language models.
Martin is interested in hearing more about pioneering developments, such as Snowflake's collaboration with Nvidia, where both firms are creating an AI factory that helps enterprises turn their data into custom generative AI models.
Bev White, CEO of recruitment specialist Nash Squared, says her big concern is the practical reality of using generative AI might be very different from the vision.
White says it's important to recognize that the first 12 months of generative AI have been characterized by big tech companies racing to refine and update their models.
Also: The 3 biggest risks from generative AI - and how to deal with them.
This Cyber News was published on www.zdnet.com. Publication date: Fri, 15 Dec 2023 18:13:04 +0000