Why do we believe this data is fit for our new purpose?
Could the purpose for which we intend to reuse this data cause harm to the data subject or to other people?
How does our new purpose impact or change the accuracy, integrity, or veracity of the data?
What data do we intend to combine with this data in reusing it? What ethical issues might be raised in joining this data?
How old is this data? Is it past its shelf-life?
Will the reuse of this data be objectionable based mexico whatsapp number data on some moral principles that might be held by the data subject?
These are just some examples of ethical questions we might ask as we assess the reuse of the data.
One new use case that is being driven by generative AI is the reuse of customer data to train AI models. Some organizations have been quietly changing their policies to disclose this new use case. However, the Federal Trade Commission (FTC) has said this could be constituted as an unfair or deceptive practice:
“It may be unfair or deceptive for a company to adopt more permissive data practices—for example, to start sharing consumers’ data with third parties or using that data for AI training—and to only inform consumers of this change through a surreptitious, retroactive amendment to its terms of service or privacy policy.”