This chapter is from the book
This chapter is from the book
This chapter is from the book
Summary
As you can see, when it comes to responsible AI, there is a lot to think about. Responsible AI isn’t the job of a single group of people. Rather, it needs to be embedded at all levels across a company. Neither is responsible AI something you do once and then forget. It is a constant challenge to review and re-review the approach. And, of course, there is a tension between the need to be responsible—and therefore, cautious—and the need to get features out the door and into a product. All of these considerations need to be taken seriously.
The example in this chapter is obviously an idealized scenario. There is no mention of the downsides of introducing governance, process, and product measures to ensure responsible AI. In practice, these measures cost money, and these costs may need to be balanced with the need to get a product out to market—although this, in itself, is an important decision to discuss in the context of responsible AI. One might argue that for-profit companies only care about profit, so many of these measures won’t be implemented. However, public and government opinion about responsible AI is clearly changing. It is becoming a competitive advantage to be responsible. And we are likely to see companies measured for it in the same way that they are measured—either formally through Environmental, Social, Governance (ESG) metrics or informally through reputation—for impacts on society.
Good luck, Robbie! We hope that US Robots has done a good job in building your AI responsibly.