Unlocking India's Inclusive Development through AI-Enabled Viksit Bharat
With the rise of Artificial Intelligence (AI) and Machine Learning (ML), machines are now capable of performing tasks traditionally associated with human intelligence and intervention. AI operates through intricate algorithms, which can inadvertently magnify existing prejudices and biases on a larger scale. Deep learning, a subset of ML utilizing neural networks with three or more layers, aims to mimic the cognitive abilities of the human brain to enhance machine performance. Deep learning, a subset of ML utilizing neural networks with three or more layers, aims to mimic the cognitive abilities of the human brain to enhance machine performance. However, this technology, exemplified in applications like deepfakes, can introduce biases due to inadequate diversity in setting principles of guard rails, testing and inadequate due diligence to identify potential biases during development. Such biases can persist and propagate through automated AI systems, exacerbated by flawed data inputs.
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