Artificial intelligence (“AI”) is increasingly deepening its inroads to human civilization. If statistics are to be relied on, the global market share of AI is expected to rise from 87 billion US dollars in 2021 to 1,591 billion US dollars in 2030.
The employability of AI has become all-pervasive, owing to its undeniable benefits. However, serious threats to privacy can potentially emerge because of such increasing reliance on AI. These threats can stem from the foundation of AI, that is, algorithms.
While algorithms are at the core of all AI-driven technologies, these form one of the most perceivable sources of threats to data protection and privacy. Algorithms, at times suffer from in-built biases and errors that distort operations, resulting in unintended or unwarranted outputs. At times, algorithms are ill-equipped to deal with external manipulations to data, thereby subjecting data to serious risks of unwarranted intrusion.
Please click here to read the full article by Gaurav G Arora, published in ET Insights.
Gaurav’s practice covers mergers & acquisitions, private equity, corporate structuring and restructuring, and general corporate commercial matters (including data privacy and white-collar crime investigations).