Can Indian Law Keep Up With AI-Driven Sports and Entertainment Content?

AI is no longer sci-fi in India’s media space. Deepfake videos, synthetic voices, AI-generated commentary, and remixed content are creating new forms of entertainment and new legal headaches.

Recently, the Bombay High Court ordered the removal of AI-generated videos showing Akshay Kumar in a deepfake portrayal of Maharishi Valmiki, calling the content “truly alarming” and noting how morphing is so sophisticated that it becomes impossible to tell what is real.

That case, and broader moves in content industries, show Indian law is being tested in real time.

The Rise of AI in Sports & Entertainment

Today, AI tools are used to produce highlight reels, voiceovers, virtual avatars, “what if” recreations, clips that splice in new dialogue, and more. Imagine a sports brand using a player’s AI voice to comment on a match the player never participated in, or remixed scenes with a celebrity inserted mid-scene.

These applications raise serious questions: who owns the AI output? When is likeness misuse? What rights does the original artist or athlete retain?

The urgency is real: courts are already intervening. In the Akshay Kumar case, HC judges warned that offenses to “personality and moral rights” and the risk to public order justify immediate takedown. That means courts are implicitly treating AI content violations as more than copyright since they involve identity, reputation, and societal harm.

Where Indian Law Currently Stands: Copyright & AI Training

India has responded by forming a government-appointed expert panel to review how the Copyright Act of 1957 handles AI content use.

A key issue: whether using copyrighted works to train AI should require licensing or be carved out as an exception. Industry bodies like Bollywood and Hollywood groups are pushing for licensing regimes that prevent unrestricted AI scraping.

Regarding that matter, legal commentators argue that if an AI output lacks sufficient human authorship, it might not attract copyright protection.

Regulatory Gaps & Intermediary Liability

In the digital space, the IT Rules 2021, intermediary liability regime, and data/privacy laws attempt to cover some bases. But none are tailored to generative AI. Courts must decide when platforms become responsible—whether they must act proactively, strip harmful content, or label AI output. Also, there is no law today demanding AI-generated content to be labeled as such.

Another thread: a parliamentary committee recently urged legal and technology measures against AI-based fake news. The committee recommended the possibility of licensing AI content creators, mandatory AI content labeling, and inter-ministry coordination. That shows lawmakers foresee the problem, but no binding rules exist yet.

What Creators and Platforms Can Do

Until a formal framework is ready, responsibility falls on companies and creators to act sensibly. Studios and media houses should secure clear licenses before feeding films, broadcasts, or songs into AI systems.

Brands should also make sure they get consent when using a celebrity’s likeness, voice, or signature phrases in promotional content. Platforms should also include watermarking or traceability to flag synthetic media.

Then, companies that rely on online fan engagement are beginning to experiment with AI for interactive videos, match analysis, and real-time data visualization.

Platforms like https://www.10cricklive.com could explore AI-driven fan experiences or predictive content partnerships in the future. For such brands, aligning innovation with data privacy, licensing, and image rights will define how responsibly they grow in the AI era.

The Challenge of Enforcement

The truth is that even if India updates its laws, enforcing them is another story. Tracing the origin of deepfakes or identifying the real uploader often takes time, and many tools used to create them are hosted on servers abroad.

By the time a takedown order is issued, the clip may already be viral. This makes AI-related disputes a cross-border issue that India’s current jurisdictional limits can’t easily handle.

There’s also the question of authorship. So, let’s say an AI-generated cricket commentary goes viral. Who owns it? The coder who built the system, the platform hosting it, or the algorithm itself?

Some legal experts say copyright should belong only to humans, while others argue for shared authorship between humans and machines. Many will most likely side with humans; this will be hard to decide on (technically) since no law in India directly addresses that yet.

Data privacy adds another complication to this. AI systems rely heavily on scraping user content, comments, and voice clips to improve accuracy. Even with the new Digital Personal Data Protection Act, which gives users more control over personal data, its enforcement in creative and sports contexts isn’t really clear.

In the End

India stands at a turning point where technology is moving faster than its laws. The upcoming Copyright Act review, along with discussions about labeling and data consent, shows that the government recognizes the urgency. Yet AI’s ability to replicate and remix content will always test the boundaries of authorship and accountability.

If creators and brands know where to draw boundaries now, they will be ahead, and not behind. Indian law may not yet keep up fully with AI’s leaps, but the foundations are already being built beneath our feet.