At the Mint India Investment Summit 2024, Chaitanya Chinchlikar, vice president and chief technology officer at Whistling Woods, highlighted the legal uncertainties surrounding AI-generated content. He stressed that artificial intelligence does not recognize the origin of images it uses to generate novel works, leading to complications in copyright claims.
Chinchlikar said that such legal ambiguities are the reason for numerous lawsuits.
During the panel discussion entitled “Changing the narrative: Can AI boost the top line?“, experts analyzed the evolving role of artificial intelligence and generative AI in various sectors, highlighting the hurdles that need to be overcome before organizations can fully integrate this technology into their offerings and services.
Chinchlikar clarified that a person creating a fictional character using AI cannot be sued for intellectual property (IP) infringement due to the ambiguity of ownership of the said work. “This is one of the reasons why it will not be possible to employ generative artificial intelligence (GenAI) to create revenue-generating, marketable intellectual property. “On the other hand, if it’s just standard, casual footage that you want to have in the background, you’re often going to employ Generation AI, even if it’s an ad,” he said.
He also drew attention to the long-standing presence of artificial intelligence in the media and entertainment industry, referring to established technologies such as green screens. According to Chinchlikar, the employ of computer vision, machine learning and other artificial intelligence technologies is not a novel concept in the industry.
He then pointed to the inflated hype surrounding GenAI, which he believes has reached its peak. He added that this will happen eventually because GenAI is a “solution looking for a problem.”
Harshjit Sethi, managing director of venture capital firm Peak XV, emphasized the need for thoughtful integration of artificial intelligence into existing products. He has observed a widespread willingness by companies to employ artificial intelligence as a key enabler of the next technological revolution, with many seeking to incorporate it into their products in a variety of ways.
“So the question I usually ask companies is: Are you building something that is uniquely possible today that wouldn’t be possible without the advent of this technology? Or maybe you’re just applying AI as a lean layer on top of something that already exists,” Sethi said.
He added that if companies used AI to solve problems in a different way, rather than adding another layer of AI to solve their problems in the same way, it would be more fascinating.
While some industry experts certainly doubt the hype around generational AI, many have used it internally in their companies.
Sudarshan Seshadri, senior vice president and global head of AI at Coforge, said that with the advent of Chat GPT, “everyone wanted to put AI in some shape or form.” services, insurance, travel, transportation, retail and healthcare, now wanted to integrate AI into their operations.
“If you condense it down to a very uncomplicated form, it’s a two-by-two matrix. On the one hand, we have either cost optimization or internal integration, and on the other, we have data now or in the future,” Seshadri said, adding that sorting data for cost optimization is the easiest.
However, the process of internal Gen AI testing is not an alien concept.
On February 4, Mint reported that Indian mid-cap IT companies were implementing Gen AI solutions internally for their businesses before rolling out these models to their clients.
Seshadri said all industries are doing well when it comes to leveraging generational AI. “Actually, even in transport, which we think is something very basic, like driving trucks. Currently, artificial intelligence is being used very intensively along with IoT sensors to determine which trucks or lorries are likely to break down and what is the optimal route for them to improve their productivity,” he explained.
As the employ of artificial intelligence becomes more widespread across industries, the need to employ it responsibly increases as well.
Aakrit Vaish, CEO of Mumbai-based conversational AI platform Haptik, speaking about the employ of understandable and responsible artificial intelligence, said that regulations and consumer behavior can be learned along the way, provided the technology is sufficient.
“The bigger challenge that we’re all talking about is what are the application sets where you can really create deep solutions and products and that can have exponential results,” Vaish said.
Overall, the panelists agreed that artificial intelligence, and GenAI in particular, had a say here, but its broader uses and applications needed to be fleshed out before the technology could be put to good employ.
Posted: March 30, 2024 11:33 am EST
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