The author suggests that data ownership and protection should be taken seriously, with clear communication to users about what data is collected, who stores and processes it, and what data can be retrieved. The author also advocates for giving users the option to opt out of the data collection process, especially when it involves personally identifying data. The article concludes by stating that machines and algorithms should serve us and make our lives easier, not the other way around.
Key takeaways:
- Data privacy is becoming a concern for consumers, especially when it comes to AI and their personal identity data. Companies implementing AI must consider data ownership and protection to avoid alienating their customers.
- AI has supercharged existing scams, making it more important than ever to protect training data. The more AI "knows," the better and potentially more successful the attacks.
- Data ownership and control over the AI model are key business considerations when developing an AI strategy. Consumers and businesses are not willing to be used as a source of training data without clear understanding of what happens to their data and who can access the results.
- It's important to give users clear information about what data is collected, who stores and processes the data, and what data can be retrieved. Users should also have straightforward opportunities to opt out of the collection process, especially when personally identifying data is involved.