AI and Privacy: Balancing Innovation with Security
Artificial Intelligence (AI) is a key driver of modern innovation, enhancing fields like healthcare, finance, marketing, and transportation. While AI offers many benefits, it also raises privacy concerns. As AI becomes more integrated into our daily lives, there is a need to technological progress with strong security measures to protect privacy. This article discusses about need for privacy measures in AI, fields and privacy concerns with examples and techniques to address them.
The need for privacy in AI:
AI systems rely on large amounts of data to function effectively. This data often includes Personal Identification Information (PII) and Sensitive PII, such as medical records, financial transactions, and online behaviors. The collection, storage, and analysis of such data comes with risks to individual privacy. Without proper safeguards, malicious actors can infringe on personal privacy that can lead to issues such as identity theft, discrimination, and unauthorized access.
Moreover, the pace at which AI is advancing quickly, companies are focusing on building models but not on privacy much. This gap can lead to mistrust between consumers and companies causing legal and ethical issues. Addressing privacy concerns is important not just to comply with regulation and law, but it also helps in building…
