The buzz is AI right now… but new survey data by Fishbowl says it may be a touch more than just noise. 27% of professionals say they’ve used ChatGPT or other AI tools for work-related tasks. A quick comparison – only 23% of US households had internet access when Google launched. Marketing and Advertising have the highest adoption, with 37% saying they’ve used AI to assist with work-related tasks. Tech follows with 35% and Consulting with 30%. Healthcare has the lowest usage with 15%. Accounting and Teaching come in at 16% and 19%, respectively.
Amazon has warned their employees not to provide ChatGPT with “any Amazon confidential information (including Amazon code you are working on),” according to a screenshot of the message seen by Insider.
Quote “This is important because your inputs may be used as training data for a further iteration of ChatGPT, and we wouldn’t want its output to include or resemble our confidential information (and I’ve already seen instances where its output closely matches existing material),” the lawyer wrote.
Those workers want this – Microsoft WorkLabs released a study that 89% of people feel “more fulfilled” when they have access to AI tools “because they can spend time on work that truly matters.” They’re automating away mundane daily tasks.
There may be solutions here – MIT Technology Review reports on watermarking systems being developed to let computers detect that the text probably comes from an AI system.
And are they looking for a framework for those conversations with customers? The National Institute of Standards and Technology unveiled its long-awaited Artificial Intelligence Risk Management Framework on Thursday morning, representing the culmination of an 18-month-long project that aims to be universally applicable to any AI technology across all sectors. The framework offers four interrelated functions as a risk mitigation method: govern, map, measure, and manage.
Why do we care?
Think about the training required to use these tools in a way that works for the business. Legal needs to weigh in to ensure corporate secrets aren’t being given to the training models via the tools.
And the genie is out of the bottle, as employees are using them on their own, a new Shadow IT. Without guidance, there will be trouble.
And that’s the space to build a practice in. The good news is that the frameworks are already here (thanks, NIST), and the technology is coming too.