AI considerations
At the time of this writing, AI has become the topic of almost any conversation related to data. Most data practitioners, like myself, are excited about the potential that AI has to offer but also want to see governance applied to AI practices. Data professionals are in higher demand than ever due to the data governance needs to support AI. The top questions include the following:
- How do I ensure that the underlying data set used to train AI is appropriate?
- How are prompts protected? Are they retained?
- How do we protect intellectual property (IP; for example, source code) if entered into an open source AI solution?
- How is my data protected?
- How are GenAI products being trained? What happens to the data?
- How do we ensure that input and output are handled ethically and in accordance with our company values?
There is so much to be defined around AI, and the pace of change is only increasing. Many organizations are looking to their CDO...
