OpenAI CEO Sam Altman unveils vision for AI's impact on economy and society at WEF Davos

tech.hindustantimes.com:

Davos [Switzerland], January 19 (ANI): In a Davos session themed 'Technology in a Turbulent World,' Sam Altman, CEO of OpenAI, delved into the future trajectory of artificial intelligence (AI), offering profound insights into its role as a driving force for global economies and societies.

Altman highlighted the theme of 'Artificial Intelligence as a Driving Force for the Economy and Society,' a pivotal focus at the World Economic Forum's Annual Meeting.

Altman said, "Even with its very limited current capability and its very deep flaws, people are finding ways to use this tool for great productivity gains or other gains and understand the limitations. People understand tools and the limitations of tools more than we often give them credit for."

He added, "People have found ways to make ChatGPT super useful to them and understand what not to use it for, for the most part. AI has been somewhat demystified because people really use it now. And that's always the best way to pull the world forward with new technology."

Reflecting on a year where generative AI took centre stage, Altman's quotes from the session shed light on the potential and challenges lying ahead.

Altman acknowledged the current limited capabilities and flaws of AI but emphasised people's ability to harness it for significant productivity gains.

Users understand the tool's limitations and find ways to make it useful, demystifying AI as it becomes more widely used.

Addressing the issue of trust in technology, Altman expressed optimism that AI systems would evolve to explain their reasoning in natural language.

Altman said, "I have a lot of empathy for the general nervousness and discomfort of the world towards companies like us... We have our own nervousness, but we believe that we can manage through it and the only way to do that is to put the technology in the hands of people. Let society and technology co-evolve and sort of, step by step, with a very tight feedback loop and course correction, build these