ChatGPT to be a co-worker: TCS HR
In recent months, generative AI, like ChatGPT, has gained more and more attention. Some individuals worry that these cutting-edge technologies may lead to job loss and unemployment. The country’s top IT services company TCS’s CHRO, Milind Lakkad, recently stated that generative AI will be a coworker, not a job-replacer.
Lakkad stated during an interview with PTI, “It (generative AI) will work beside us. It will be a coworker, and that coworker will need some time to comprehend the customer’s context. The meanings of work will change, not the jobs themselves.”
The term “generative AI,” also referred to as “creative AI,” describes the application of machine learning models and algorithms to the production of new media, including literature, music, and images. The science underpinning generative AI is developing quickly, and ChatGPT is a fantastic illustration of the incredible power these systems possess.
A big language model called ChatGPT that OpenAI trained can produce dialogue and question-response output that resembles human speech. In order to comprehend patterns and context, it analyses enormous amounts of data using machine learning algorithms.
Platforms like ChatGPT have raised questions about the necessity of human knowledge in the work performed by technology corporations. There are worries that these platforms could result in large job losses in the computer sector given examples of whole code generation using them. One of the reasons for the widespread layoffs at leading tech firms throughout the world has been attributed to this.
In order to stand out from the competition, Lakkad contends that it is critical to comprehend the context in which a consumer functions. There will be different levels of human participation as a result of the deployment of generative AI platforms in different industries. Even though it might lessen the necessity for monotonous employment with repetitive tasks, individuals throughout the hierarchy will still be in demand as they acquire essential contextual skills.
According to Lakkad, generative AI will not replace existing business structures but rather promote collaboration. These technologies will increase output, ensure uniformity in the work, and lessen the need for governance, all while speeding up delivery and cutting back on ancillary tasks. These tools have already been used by TCS in a few places, and further usage is anticipated in the future. Lakkad expects that this will lead to changes in training, and TCS is already prepared for this kind of future need. In two years, the impact of generative AI will be more fully understood.