When 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.
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.
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.
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by Jacob Abernethy, François Candelon, Theodoros Evgeniou, Abhishek Gupta, and Yves Lostanlen
by Jacob Abernethy, François Candelon, Theodoros Evgeniou, Abhishek Gupta, and Yves Lostanlen