AI's Black Box Dilemma: India's Approach

With most AI systems, the inner working patterns are not visible, even to its developers. These systems are referred to as 'Black Box AI' and pose challenges in terms of accountability, transparency, and various other regulatory issues.

The Concept

The basic operative mechanism of Black Box AI is 'Machine Learning', whereby AI is essentially trained with the help of large datasets to make decisions and generate an output. Machine Learning, in simple terms, is an algorithm fed with a huge amount of data which is trained to analyse and understand patterns and features contained therein. However, the layers of computations often conceal the path which leads to the final output or result, thereby forming a 'Black Box', where the entire path remains concealed. While one would be clear on the data fed (means) and the result generated (ends), the algorithmic analysis leading to the final result remains shadowed. In such a system, the issue of transparency and