AI or better known as Artificial Intelligence, is not a new thing anymore however it has matured and still does serving the industries and different aspects of our life. And this evolution brings with it a new privacy concern. Yet, with AI systems mastering complex tasks and requiring an increasing amount of personal data, ethical and legal problems arise.
Key Privacy Concerns in AI
Data Privacy — The majority of AI solutions are trained on large data sets which are used to learn and predict.However, such data can encompass our sensitive personal information which creates an avenue for data breaches and unauthorised access.
Algorithmic Bias– Because AI algorithms are trained on data, any bias found in that data can be amplified, leading to biased outcomes. More harmful to minority groups can take disproportionate effect.
Surveillance Capitalism — AI having the ability to surveill over networked behaviours and preferences of individuals can put us on the privacy invaders sphere at increased mass surveillance level.
Data Anonymization and Pseudonymization: Remove, mask, or replace identity elements which can be used to identify a person directly or indirectly.
Fairness and Bias Mitigation — Develop fair and unbiased algorithms, periodically audit for inclusion of any bias.
Enhance the transparency and explainability of AI systems to the users of the AI system on how they make decisions.
Conclusion
But with the rise of AI, privacy and ethics comes first. While we welcome AI, we should not forget that privacy matters, and that is what privacy and transparency will ensure with responsible AI development that which allows us to keep using the power of AI while respecting the privacy of individuals and the well-being of society.
