Oracle Adds Generative Artificial Intelligence Features To Human Resources Software
Oracle Corp added a generating artificial intelligence feature to HR software (photo: dock. oracle)

JAKARTA - Oracle Corp announced on Wednesday June 28 that it is adding a generating artificial intelligence feature to their human resource software (HR) for business, with the aim of helping to compile job descriptions and employee performance goals, among other tasks.

Artificial intelligence (AI) systems such as ChatGPT that can generate human-like answers have become a trend in the technology sector, with companies like Alphabet's Microsoft Corp and Google integrating them into their search engines.

Many business users are facing AI-generative technology carefully because it can create incorrect facts and can be tricked into saying disturbing things.

Oracle's HR software is used by large companies, among others, to recruit new employees and provide performance evaluations. Oracle will add buttons to many of the fields in the software that will automatically generate draft text for things like work lists or performance goals.

"The placement of AI assistants in key form rather than chatbots that answer open questions written by human users is intended to ensure those buttons produce good and safe results," said Rich Buchheim, vice president of product management for Oracle Adaptive Intelligence Applications.

Buchheim said the resulting text still needs to be human-approved.

"We don't expect the generative AI to write down your goals. It will give you a starting point, and provide you with useful information to get started," Buchheim said.

These features are expected to be launched by the end of this year.

Guy Waterman, vice president of human resource analytics and innovation technology at Oracle, said in the future, Oracle is working on using AI for more complex HR tasks, such as how to write a list of job requirements that comply with local regulations in various markets.

"It may take a week or two for someone to make a decision and implement it. If we can turn it into a few hours or minutes, that's where we really see the difference with the possibility of a generating AI," Waterman said.


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