With the advent of generative artificial intelligence, AI-industry leaders have been candidly expressing their concerns about the power of the machine learning systems they are unleashing.
But how? By adopting an ethical framework and implementing it, companies have a path for the development of AI and legislators have a guide to implement responsible regulation. This path offers an approach to help AI leaders and developers wrestling with the myriad decisions that appear with any new technology.
What we lack is an accompanying consensus on exactly how to develop products and services using these values and thus achieve the goals desired by both the public and industry leaders. The approach is laid out in five, practical stages suitable for leaders, managers, and technologists. The stages address the need for tech ethics leadership, a candid assessment of organizations’ cultures, the development of a tech ethics governance framework for each organization, means for embedding tech ethics into the product development life cycle for new technologies and transforming the organization’s culture, and methods for measuring success and continuous improvement.