Explanation:

Only statement 1st is incorrect.

Deepfakes

• Deepfakes are synthetic media that use AI to manipulate or generate visual and audio content, usually with the intention of deceiving or misleading someone.

• Deepfakes are created using a technique called generative adversarial networks (GANs), which involve two competing neural networks: a generator and a discriminator.

• The generator tries to create fake images or videos that look realistic, while the discriminator tries to distinguish between the real and the fake ones.

• The generator learns from the feedback of the discriminator and improves its output until it can fool the discriminator. 

Positive Applications of Deep Learning

• Deep learning technology has enabled positive advancements, such as restoring lost voices and recreating historical figures.

• Deep learning techniques have been applied in comedy, cinema, music, and gaming to enhance artistic expression.

• It enhances medical training and simulation by generating diverse and realistic medical images. It also creates virtual patients and scenarios for simulating medical conditions and procedures, improving training efficiency.

Approaches Related to Deepfake Regulation

• India does not have specific laws or regulations that ban or regulate the use of deepfake technology.

• India has called for a global framework on the expansion of “ethical” AI tools.

• Existing laws such as Sections 67 and 67A of the Information Technology (IT) Act (2000) have provisions that may be applied to certain aspects of deep fakes, such as defamation and publishing explicit material.

• The Information Technology Rules, 2021, mandate the removal of content impersonating others and artificially morphed images within 36 hours.

• None of the provision or section of the IT Act 2000 deal with each and every aspect of the Deepfackes. 

Hence option 1st is correct.