Generative artificial intelligence (AI) is the latest buzzword in tech, and it’s easy to see why. It’s a game-changer, used for everything from creating content to offering personalized recommendations. In the workplace, generative AI has the potential to boost productivity, creativity and innovation. But, like any new technology, it comes with challenges that companies need to overcome to really tap into its benefits. Tech Target brought this interesting and applicable topic to us in their article, “How organizations should handle AI in the workplace.”
One major issue with generative AI is keeping data private and secure. These AI models need tons of data to learn and produce useful results, which can raise concerns about protecting sensitive information. This is especially important in industries like healthcare, finance and law. Companies have to put solid data governance policies, encryption and access controls in place to safeguard their data and prevent unauthorized access or breaches.
There’s also the fear—shared by both employees and employers—about AI taking over jobs. The best way to handle this is to address the concerns head-on. By being proactive and working together, employers can show how AI can actually benefit both the workforce and the broader community.
Another big challenge? Many organizations don’t fully understand how AI makes decisions. That’s where explainable AI steps in, helping users make sense of and trust the outputs from these machine learning algorithms. This transparency is key to getting the most out of AI and ensuring people feel confident in its use.
Melody K. Smith
| Data Harmony is an award-winning semantic suite that leverages explainable AI. |
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Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.
