A number of platforms that build chatbots have begun to integrate the underlying algorithms into their own products . At the same time Enterprises have been cautious in adopting the technology for a number of reasons. Experts believe that the AI is still in its early stages of development, and the fact that it can still generate inconsistent and insensitive answers is a drawback, as is the fact that the platform has to be optimized for Indian languages and usage. Matters need to be localized.
Recently, Jio Platforms-owned conversational artificial intelligence (AI) startup, Haptik, announced that it will integrate the underlying language model behind ChatGPT, the natural language text-generating AI tool made by Microsoft-backed OpenAI, into its services.
It, however, is not the only one. Ever since the launch of the tool for public usage and deployment last November, multiple platforms that build chatbots have begun integrating its underlying algorithm into their own products, including unicorn Gupshup.
As CIOs and tech leaders gauge the risks and rewards of models like ChatGPT, they first need to address critical friction points. At the same time, there are organisations remain cautious in adopting the technology due to several reasons. Experts feel that the AI is still in early stages of development, and the fact that it can still generate incoherent and insensitive answers is a drawback, as is the fact that the platform itself needs to be localized for Indian languages and use cases.
Experts says, as the technology is the easy aspect, but these governance models are very critical for emerging technologies, like generative AI, ChatGPT and others, to work effectively within an organization and come to the right outcomes.
Recently, Eric Yuan, Zoom founder and CEO, said during the earnings call said, the named AI a strategic focus this year, with plans to expand upon existing AI-driven capabilities on its platform. This includes Zoom IQ, Zoom Virtual Agent, as well as translation, captioning and meeting summary tools.
It is important to understand that ChatGPT is built without any real corporate privacy governance, which leaves all the data that it collects and is fed without any safeguard. This would make it challenging for organizations such as media, or even pharmaceuticals, since deploying GPT models in their chatbots will leave them with no safeguard in terms of privacy.
Going forward, the biggest threat from ChatGPT at the moment is that it can produce inaccurate and insensitive responses, which are contextually correct but semantically irrelevant.
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