Get the summary from Harvard Business Review's The Year in Tech 2022.

Insights from Chapter 1

#1

The rapid development of data and AI has created new ethical problems for companies to tackle. Getting it wrong can lead to regulatory, legal, and public relations issues, among other things. To mitigate these risks, companies must operationalize their data and AI ethics policies and train their employees on how to recognize and deal with potential ethical issues.

#2

There are three standard approaches to data and artificial intelligence ethical risk mitigation: the academic approach, the on the ground approach, and the high-level principles approach. While companies seem to be coalescing around a shared set of abstract values, they are actually extremely misaligned.

#3

The C-suite is responsible for the data and AI ethics strategy. It is their duty to inform the board of directors about any potential data or AI issues.