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How deepfake detection is shaping the future of AI

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Imagine a future where artificial intelligence (AI) helps you in amazing ways every day! From helping you write stories to showing realistic images and videos that look like the real world, AI is doing things we once thought only humans could do. It’s like magic! But there’s more—it can learn, adapt, and get better with every task.

What if you could ask a computer to make a video of something that never happened? Or create smart assistants that can talk just like your grandparents? While this sounds fun, it can also be a little scary when people use these tools to trick us.

Deepfakes are fake videos, pictures, or even voices made by deep learning models of Artificial Intelligence that look and sound real. What will you do if your fake video is uploaded to defame you?

Evolution of deepfakes

Fakeness has come a long way, from manual editing to AI-based synthetically generated voices, images, and video. At first, AI could only swap faces in pictures or videos. Later, it became smart enough to change voices using “speech-to-text” and voice AI. Now, with language models (like those used in chatbots), AI can even make fake conversations! Moreover, some models can swap faces in live video calls. If you get a video call from someone you trust, but it’s not really them talking—how will you figure out what is fake and what is real?

Challenges in deepfake detection

As deepfake technology advances, it becomes difficult to spot the fakes because they are more realistic. A new type of AI technology called diffusion models (DMs) is making this even more challenging. Unlike older methods like GANs (Generative Adversarial Networks), DMs create very realistic photos and videos, making it tougher to detect what’s fake. Researchers now have to find new ways to spot deepfakes generated by these models since they behave differently and have unique characteristics.

Another big challenge is that detecting deepfakes takes a lot of computing power. For example, analysing a high-quality video with AI takes much longer than just watching it, which makes real-time detection very difficult.

On top of that, balancing detection methods with privacy concerns is tricky. Some people worry that aggressive deepfake detection could accidentally violate privacy or wrongly accuse innocent people of creating fake content, which has happened in some court cases.

As per The Guardian, a well-known case involved a woman in Pennsylvania, US who was accused of faking an incriminating video of teenage cheerleaders to harm her daughter’s rivals. She was arrested, publicly outcast, and condemned for allegedly creating a malicious deepfake. However, after further investigation, it was revealed that the video was never altered in the first place—the entire accusation was based on misinformation. This case highlighted the risk of misidentifying real content as fake. Lawyers are also claiming real videos as deepfakes to save their clients.

deepfakes

The solution: Detecting deepfakes

Researchers are working hard to find ways to spot deepfakes! AI detectives can now look closely at videos, frame by frame, to find tiny mistakes that reveal if a video is fake. They check for things like weird eye movements or changes in lighting that don’t seem natural, in summary, checking physics-defying features. Some AI systems are even trained to look at how sound matches the person’s lip movement in a video.

In fact, there have already been successful cases where deepfakes were caught.

For example, as per TOI, in a recent case, a man fell victim to a deepfake trap where AI-generated explicit videos were created using his likeness. The perpetrators blackmailed him, threatening to leak the fake videos unless he paid them. The victim was so distraught that he almost took his own life before reporting the crime. This case is one of the first of its kind in India and highlights the devastating personal impact deepfakes can have when used maliciously.

Similarly, some deepfake videos of celebrities and political leaders were exposed because AI could spot the fakes before most people noticed anything wrong. Some of the promising detection tools are:

  • Sentinel: Focuses on analysing facial images for signs of manipulation.
  • Attestiv: Uses AI to analyse facial images and find fakes.
  • Intel’s real-time deepfake detector (FakeCatcher): Detects deepfakes in videos in real-time.
  • WeVerify: This tool analyses social media images for signs of manipulation.
  • Microsoft’s Video Authenticator: Can check both images and videos for deepfakes.
  • FakeBuster: employed screen recording of video conferences for training, a tool from the Indian Institute of Technology (IIT) Ropar in 2021, verifies the authenticity of people in video calls.
  • Kroop AI’s VizMantiz is a multimodal deepfake detection framework for the banking, financial, and insurance sectors and social media platforms developed by a Gujarat-based Indian startup.

How academic institutions and companies are helping

Many tech companies are jumping in to help detect deepfakes.

Big names like Facebook, Google, and Microsoft are creating tools that can scan videos on their platforms to find fakes before they spread. Microsoft’s video authenticator is one example. SynthID from Google identifies and watermarks AI-generated content. These companies are also working with researchers to make AI better at catching deepfakes faster.

Further, the Massachusetts Institute of Technology (MIT) launched a website for detecting fake videos, which employs artefact detection using facial analysis, audio-video synchronisation, and audio analysis.

The role of governments

Governments are stepping in to help protect people from the risks posed by deepfakes. In 2018, the US passed the Malicious Deep Fake Prohibition Act, which punishes individuals who use deepfakes to cause harm. Many other governments are also working on laws and policies to make it more difficult for people to create misleading fake videos. 

However, there’s an important balance to strike. Video generation and face-swapping technologies are tools—they can be used or misused. Instead of banning these advancements, governments should focus on punishing those who misuse them for malicious purposes while encouraging the development of beneficial applications of the technology. Additionally, governments are considering rules that require companies to label AI-generated content clearly. This way, the public can immediately know whether what they’re seeing is real or artificial.

Governments also have a key role in public awareness. They can help educate people to always be cautious and to “verify first” before believing or sharing suspicious videos. By working closely with tech companies and research institutions, governments can ensure that deepfake detection tools are safe, effective, and responsibly used to safeguard public trust and media integrity.

Way forward: Bright future of AI

Deepfakes are just one small problem in the vast ocean of AI challenges. As AI continues to evolve, new hurdles will emerge, but so will new opportunities. The application of AI is advancing at such a pace that it could lead humanity into the next stage of evolution. By addressing issues like deepfakes head-on, we equip ourselves to handle similar challenges that will undoubtedly arise in the future.

Even though deepfakes are a challenge, the future of AI looks incredibly bright, a world where AI helps people create amazing art movies or even discover new solutions to complex problems. If we can learn how to manage the dangers posed by its misuse, like deepfakes, AI will continue to enrich our lives in exciting and transformative ways.

In the end, as AI grows, we must use it for good. If we do that, AI will help us reach a future filled with possibilities we can’t even fathom.

(Rahul Prasad is Co-founder and CTO of Bobble AI, an AI keyboard platform.)

(Disclaimer: The views and opinions expressed in this article are those of the author and do not necessarily reflect the views of YourStory.)





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Simplilearn aims to reach EBITDA profitability in FY25

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Blackstone-backed Simplilearn says it is well positioned to reach EBITDA profitability within the current financial year.

EBITDA or earnings before interest, taxes, depreciation, and amortisation reflects the operational profitability of the company. It focuses on the earnings generated from core operations before accounting for costs.

The company said, in a statement, that it has managed to cut down its losses by 75%, from FY23, as it focuses on achieving sustainable growth and operational efficiency. Additionally, it reported year-on-year revenue growth, with FY24 revenue touching Rs 773 crore, fuelled by pivotal initiatives taken to increase customer retention and higher referral rates.

“As we work toward profitability, we’re focused on strengthening our products to meet industry

needs, driving growth in the US and worldwide, and, above all, delivering an outstanding customer

experience. Our mission to transform lives through world-class education is always at the heart of

what we do,” said Krishna Kumar, Founder and CEO of Simplilearn.

The company has intensified its efforts in its commercial segment, particularly in the United States, through strategic partnerships with platforms, and collaborations with government bodies in Europe, Middle East, and Africa.

Simplilearn said it has significantly increased its course enrollment by doubling down on university partnerships, bootcamps, and certification training programmes.

Founded in 2010, the company last raised $45 million in a Series E round in 2022 from a consortium led by GSV Ventures.

Private equity firm Blackstone picked up a controlling stake in the company in July 2021 through a fund infusion of $250 million.

In pic: Krishna Kumar, Founder and CEO of Simplilearn





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SBI launches innovation hub at Singapore Fintech Festival

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Indian businesses are setting up fintech partnerships at the Singapore Fintech Festival led by the State Bank of India’s launch of an innovation hub in the city state.

The State Bank of India (SBI) Innovation Hub was launched in partnership with APIX, a Singapore-based global collaborative innovation platform for financial institutions and fintechs, at the festival being held from November 6 to 8.

It is to provide dedicated space for fintechs, startups, and innovators worldwide to design next-generation financial solutions tailored to meet the digital needs of SBI’s diverse customer base.

The initiative is aimed at driving financial innovation and digital transformation as well as advancing financial inclusion, SBI said.

Designed to accelerate digital transformation, the SBI Innovation Hub allows participants to leverage SBI’s 250+ financial service APIs to develop and customise solutions within a secure sandbox environment.

Through structured challenges, hackathons, and partnership opportunities, the platform provides fintechs and startups with unique pathways to gain recognition, compete for official partnerships, and ultimately reach millions of users across India.

Vidya Krishnan, Deputy Managing Director – IT at SBI, said virtually at the launch, “The Innovation Hub of State Bank of India is a key step in our digital transformation mission to foster innovations across our banking and financial services.

“The platform’s capability for mutual discovery of APIs will enable the bank and group companies in collaborating with global innovators to create and build solutions that are innovative, impactful, and highly customer centric. We are simplifying the onboarding process by providing a single touchpoint for fintechs and startups.”

Umang Moondra, CEO of APIX, said, “While APIX has collaborated with many world-leading financial institutions, and fintechs, partnering with a major institution like SBI and delivering a unique platform dedicated to its needs is a tremendous achievement.

“The result of our collaboration is an exciting and pioneering innovation hub that represents a groundbreaking opportunity for fintech and innovators to engage with one of the world’s largest banks in a way that will benefit millions of customers.

“It also levels the playing field for innovators by providing direct access to core elements of innovation such as SBI’s secure sandbox and a suite of APIs, empowering developers to build solutions that resonate with consumers globally and promote financial inclusion,” he said that the launch.

Separately, Indian-origin Gupshup said it has established a strong foothold in Singapore’s rapidly evolving conversational AI landscape, particularly making waves in the financial services sector with a partnership with Standard Chartered Bank.

The partnership will showcase Gupshup’s expertise, where its AI-powered digital assistant handles complex banking queries in real-time, significantly enhancing customer experience and operational efficiency.

Gupshup’s specialisation in domain-specific large language models (LLMs) enables the creation of highly contextualised AI assistants that understand sector-specific nuances and compliance requirements.

“This specialised approach has proven particularly valuable in Singapore’s sophisticated banking sector, where precision and regulatory compliance are paramount,” said Ali Asgar Lightwalla, Senior Director of Sales for BFSI.

“Beyond banking, Gupshup’s innovative conversational AI solutions are transforming customer engagement across various sectors in Singapore, from retail and healthcare to logistics, helping businesses automate customer interactions while maintaining personalisation and service quality.”





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Truecaller names Rishit Jhunjhunwala as new CEO

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Truecaller, the Swedish caller identification app provider, has named Rishit Jhunjhunwala as its group chief executive officer (CEO), effective from January 9, 2025.

This move comes as current CEO Alan Mamedi and Chief Strategy Officer Nami Zarringhalam decide to step down from their operational roles to focus on their board responsibilities and act as strategic advisors to Truecaller.

“We have a fantastic management team in whom we have immense trust, and we have a long-term strategy that everyone supports, and which has started to yield positive results. With these two pieces in place, we are convinced that the company is well positioned for future success to enable us to focus more on long-term strategy,” the duo, who co-founded the company in 2009, said in a statement.

Mamedi and Zarringhalam will continue to be employed by the Swedish company as advisors until June 30 2025.

“Nami and I will remain committed to supporting Rishit and the entire leadership team as board members and strategic advisors, and we are excited to watch the company continue to thrive under Rishit’s leadership,” the Co-founders of Truecaller, said in a personal letter following the announcement.

Jhunjhunwala has been with Truecaller since 2015, initially serving as head of product. In June 2020, he was promoted to chief product officer, and in May 2021, he assumed the role of managing director for India.

“His deep product knowledge and leadership experience have been critical to our success, and we have always regarded him as a co-founder of Truecaller. Over the past two years, I’ve had the privilege of personally mentoring Rishit to take on a larger role within the company, and Nami and I are confident that he is ready to lead the company on a global scale,” the letter added.

Jhunjhunwala, born and raised in India but a Swedish citizen, worked and lived in Sweden from 2015 to 2022.

“Together with the rest of the management team, I look forward to taking Truecaller to even greater heights. Having worked closely with Alan and Nami since 2015, I know these are big shoes to fill, but I am confident to continue tirelessly working towards getting us closer to our mission to make future communication more safe and secure,” Jhunjhunwala, remarked.

The Swedish caller identification app, with India as its largest market globally, has over 500 million monthly active users.

For the Sweden-based company, India remains the biggest market with the region accounting for 75.8% of the total net sales for the financial year 2022-23, owing to its three revenue streams—Truecaller for Business, premium subscriptions, and ads.





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