Generative Ai: potential and pitfalls

Abstract

The explosive popularity of ChatGPT around the world gave us the first real tipping point in public acceptance of AI. Finally, everyone, everywhere can see the breakthrough potential of this technology for themselves. Large language models (LLM) and the fundamental models underlying these advances in generative artificial intelligence (GenAI) represent a significant turning point. Not only have they cracked the code of language complexity, allowing machines to learn context, infer intent, and be independent creative individuals, but they can be quickly configured to perform a wide variety of different tasks. This technology should fundamentally change everything — from science, business, health care to, in fact, society itself. The positive impact on human creativity and productivity will be enormous. Companies will use these models to rethink the way work is done. Every role in every enterprise has the potential to be reimagined, as AI people working as co-pilots become the norm, greatly expanding their capabilities. Generative AI will affect tasks, not professions. Some of these tasks will be automated, some will be transformed by artificial intelligence, and some will remain unchanged. It can also be expected that humans will face a large number of new challenges, such as ensuring the accurate and responsible use of GenAI systems. That's why organizations that invest in training people to work with generative AI will have a significant advantage.

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