000			01576nam a22001577a 4500
999			_c525656 _d525656
008			240402b ||||| |||| 00| 0 eng d
100			_aJacob, Abernethy et al _951501
245			_aBring human values to AI
260			_aHarvard Business Review
300			_a102(2), Mar-Apr, 2024: p.61-68
520			_aWhen it launched GPT-4, in March 2023, OpenAI touted its superiority to its already impressive predecessor, saying the new version was better in terms of accuracy, reasoning ability, and test scores—all of which are AI-performance metrics that have been used for some time. However, most striking was OpenAI’s characterization of GPT-4 as “more aligned”—perhaps the first time that an AI product or service has been marketed in terms of its alignment with human values. In this article a team of five experts offer a framework for thinking through the development challenges of creating AI-enabled products and services that are safe to use and robustly aligned with generally accepted and company-specific values. The challenges fall into five categories, corresponding to the key stages in a typical innovation process from design to development, deployment, and usage monitoring. For each set of challenges, the authors present an overview of the frameworks, practices, and tools that executives can leverage to face those challenges. – Reproduced https://hbr.org/2024/03/bring-human-values-to-ai
650			_aGPT-4, OpenAI , Human values _951502
773			_aHarvard Business Review
906			_aARTIFICIAL INTELLIGENCE
942			_cAR