#FactCheck- Viral ‘Army Jump Accident’ Video Is AI-Generated

Introduction

The Indian Cabinet has approved a comprehensive national-level IndiaAI Mission with a budget outlay ofRs.10,371.92 crore. The mission aims to strengthen the Indian AI innovation ecosystem by democratizing computing access, improving data quality, developing indigenous AI capabilities, attracting top AI talent, enabling industry collaboration, providing startup risk capital, ensuring socially-impactful A projects, and bolstering ethical AI. The mission will be implemented by the'IndiaAI' Independent Business Division (IBD) under the Digital India Corporation (DIC) and consists of several components such as IndiaAI Compute Capacity, IndiaAI Innovation Centre (IAIC), IndiaAI Datasets Platform, India AI Application Development Initiative, IndiaAI Future Skills, IndiaAI Startup Financing, and Safe & Trusted AI over the next 5 years.

This financial outlay is intended to befulfilled through a public-private partnership model, to ensure a structured implementation of the IndiaAI Mission. The main objective is to create and nurture an ecosystem for India’s AI innovation. This mission is intended to act as a catalyst for shaping the future of AI for India and the world. AI has the potential to become an active enabler of the digital economy and the Indian government aims to harness its full potential to benefit its citizens and drive the growth of its economy.

Key Objectives of India's AI Mission

●     With the advancements in data collection, processing and computational power, intelligent systems can be deployed in varied tasks and decision-making to enable better connectivity and enhance productivity.

●     India’s AI Mission will concentrate on benefiting India and addressing societal needs in primary areas of healthcare, education, agriculture, smart cities and infrastructure, including smart mobility and transportation.

●     This mission will work with extensive academia-industry interactions to ensure the development of core research capability at the national level. This initiative will involve international collaborations and efforts to advance technological frontiers by generating new knowledge and developing and implementing innovative applications.

The strategies developed for implementing the IndiaAI Mission are via Public-Private Partnerships, Skilling initiatives and AI Policy and Regulation. An example of the work towards the public-private partnership is the pre-bid meeting that the IT Ministry hosted on 29th August2024, which saw industrial participation from Nvidia, Intel, AMD, Qualcomm, Microsoft Azure, AWS, Google Cloud and Palo Alto Networks.

Components of IndiaAI Mission

The IndiaAI Compute Capacity: The IndiaAI Compute pillar will build a high-end scalable AI computing ecosystem to cater to India's rapidly expanding AI start-ups and research ecosystem. The ecosystem will comprise AI compute infrastructure of 10,000 or more GPUs, built through public-private partnerships. An AI marketplace will offer AI as a service and pre-trained models to AI innovators.

The IndiaAI Innovation Centre will undertake the development and deployment of indigenous Large Multimodal Models (LMMs) and domain-specific foundational models in critical sectors. The IndiaAI Datasets Platform will streamline access to quality on-personal datasets for AI innovation.

The IndiaAI Future Skills pillar will mitigate barriers to entry into AI programs and increase AI courses in undergraduate, master-level, and Ph.D. programs. Data and AI Labs will be set up in Tier 2 and Tier 3 cities across India to impart foundational-level courses.

The IndiaAI Startup Financing pillar will support and accelerate deep-tech AI startups, providing streamlined access to funding for futuristic AI projects.

The Safe & Trusted AI pillar will enable the implementation of responsible AI projects and the development of indigenous tools and frameworks, self-assessment check lists for innovators, and other guidelines and governance frameworks by recognising the need for adequate guardrails to advance the responsible development, deployment, and adoption of AI.

CyberPeace Considerations for the IndiaAI Mission

●     Data privacy and security are paramount as emerging privacy instruments aim to ensure ethical AI use. Addressing bias and fairness in AI remains a significant challenge, especially with poor-quality or tampered datasets that can lead to flawed decision-making, posing risks to fairness, privacy, and security.

●     Geopolitical tensions and export control regulations restrict access to cutting-edge AI technologies and critical hardware, delaying progress and impacting data security. In India, where multilingualism and regional diversity are key characteristics, the unavailability of large, clean, and labeled datasets in Indic languages hampers the development of fair and robust AI models suited to the local context.

●     Infrastructure and accessibility pose additional hurdles in India’s AI development. The country faces challenges in building computing capacity, with delays in procuring essential hardware, such as GPUs like Nvidia’s A100 chip, hindering businesses, particularly smaller firms. AI development relies heavily on robust cloud computing infrastructure, which remains in its infancy in India. While initiatives like AIRAWAT signal progress, significant gaps persist in scaling AI infrastructure. Furthermore, the scarcity of skilled AI professionals is a pressing concern, alongside the high costs of implementing AI in industries like manufacturing. Finally, the growing computational demands of AI lead to increased energy consumption and environmental impact, raising concerns about balancing AI growth with sustainable practices.

Conclusion

We advocate for ethical and responsible AI development adoption to ensure ethical usage, safeguard privacy, and promote transparency. By setting clear guidelines and standards, the nation would be able to harness AI's potential while mitigating risks and fostering trust. The IndiaAI Mission will propel innovation, build domestic capacities, create highly-skilled employment opportunities, and demonstrate how transformative technology can be used for social good and enhance global competitiveness.

References

●     https://economictimes.indiatimes.com/tech/artificial-intelligence/governments-say-aye-to-sovereign-ai/articleshow/113014070.cms

●     https://www.livemint.com/industry/amid-push-for-indian-ai-myriad-challenges-pose-concerns-11720012574665.html

●     https://pib.gov.in/PressReleasePage.aspx?PRID=2012375

●     https://pib.gov.in/PressReleaseIframePage.aspx?PRID=2012355#:~:text=The%20Mission%20will%20be%20implemented,1

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Executive Summary:

The rise in cybercrime targeting vulnerable individuals, particularly students and their families, has reached alarming levels. Impersonation scams, where fraudsters pose as Law Enforcement Officers, have become increasingly sophisticated, exploiting fear, urgency, and social stigma. This report delves into recent incidents of ransom scams involving fake CBI officers, highlighting the execution methods, psychological impact on victims, and preventive measures. The goal is to raise public awareness and equip individuals with the knowledge needed to protect themselves from such fraudulent activities.

Introduction:

Cybercriminals are evolving their tactics, with impersonation and social engineering at the forefront. Scams involving fake law enforcement officers have become rampant, preying on the fear of legal repercussions and the desire to protect loved ones. This report examines incidents where scammers impersonated CBI officers to extort money from families of students, emphasizing the urgent need for awareness, verification, and preventive measures.

Case Study:

This case study explains how the scammers impersonate themselves for the money targeting students' families. 

Targets receive calls from scammers posing as CBI officers. Mostly the families of students are targeted by the fraudsters using sophisticated impersonation and emotional manipulation tactics. In our case study, the targets received calls  from  unknown international numbers, falsely claiming that the students, along with their friends, were involved in a fabricated rape case. The parents get calls during school or college hours, a time when it is particularly difficult and chaotic for parents to reach their children, adding to the panic and sense of urgency. The scammers manipulate the parents by stating that, due to the students' clean records, they are not officially arrested but would face severe legal consequences unless a sum of money is paid immediately. 

Although in these specific cases, the parents did not pay the money, many parents in our country fall victim to such scams, paying large sums out of fear and desperation to protect their children’s futures. The fear of legal repercussions, social stigma, and the potential damage to the students' reputations, the scammers used high-pressure tactics to force compliance. 

These incidents may  result in significant financial losses, emotional trauma, and a profound loss of trust in communication channels and authorities. This underscores the urgent need for awareness, verification of authority, and prompt reporting of such scams to prevent further victimisation

Modus Operandi:

• Caller ID Spoofing: The scammer used a unknown  number and spoofing techniques to mimic a legitimate law enforcement authority.
• Fear Induction: The fraudster played on the family's fear of social stigma, manipulating them into compliance through emotional blackmail.

Analysis:

Our research found that the unknown international numbers used in these scams are not real but are puppet numbers often used for prank calls and fraudulent activities. This incident also raises concerns about data breaches, as the scammers accurately recited students' details, including names and their parents' information, adding a layer of credibility and increasing the pressure on the victims. These incidents result in significant financial losses, emotional trauma, and a profound loss of trust in communication channels and authorities.

Impact on Victims:

• Financial and Psychological Losses: The family may face substantial financial losses, coupled with emotional and psychological distress.
• Loss of Trust in Authorities: Such scams undermine trust in official communication and law enforcement channels.
• Exploitation of Fear and Urgency: Scammers prey on emotions such as fear, urgency, and social stigma to manipulate victims.
• Sophisticated Impersonation Techniques: Using caller ID spoofing, Virtual/Temporary numbers and impersonation of Law Enforcement Officers adds credibility to the scam.
• Lack of Verification: Victims often do not verify the caller's identity, leading to successful scams.
• Significant Psychological Impact: Beyond financial losses, these scams cause lasting emotional trauma and distrust in institutions.

Recommendations:

• Cross-Verification: Always cross-verify with official sources before acting on such claims. Always contact official numbers listed on trusted Government websites to verify any claims made by callers posing as law enforcement.
• Promote Awareness: Educational institutions should conduct regular awareness programs to help students and families recognize and respond to scams.
• Encourage Prompt Reporting: Reporting such incidents to authorities can help track scammers and prevent future cases. Encourage victims to report incidents promptly to local authorities and cybercrime units.
• Enhance Public Awareness: Continuous public awareness campaigns are essential to educate people about the risks and signs of impersonation scams.
• Educational Outreach: Schools and colleges should include Cybersecurity awareness as part of their curriculum, focusing on identifying and responding to scams.
• Parental Guidance and Support: Parents should be encouraged to discuss online safety and scam tactics with their children regularly, fostering a vigilant mindset.

Conclusion:

The rise of impersonation scams targeting students and their families is a growing concern that demands immediate attention. By raising awareness, encouraging verification of claims, and promoting proactive reporting, we can protect vulnerable individuals from falling victim to these manipulative and harmful tactics. It is high time for the  authorities, educational institutions, and the public to collaborate in combating these scams and safeguarding our communities. Strengthening data protection measures and enhancing public education on the importance of verifying claims can significantly reduce the impact of these fraudulent schemes and prevent further victimisation.

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Introduction

The Telecom Regulatory Authority of India (TRAI) has directed all telcos to set up detection systems based on Artificial Intelligence and Machine Learning (AI/ML) technologies in order to identify and control spam calls and text messages from unregistered telemarketers (UTMs).

The TRAI Directed telcos

The telecom regulator, TRAI, has directed all Access Providers to detect Unsolicited commercial communication (UCC)by systems, which is based on Artificial Intelligence and Machine Learning to detect, identify, and act against senders of Commercial Communication who are not registered in accordance with the provisions of the Telecom Commercial Communication Customer Preference Regulations, 2018 (TCCCPR-2018). Unregistered Telemarketers (UTMs) are entities that do not register with Access Providers and use 10-digit mobile numbers to send commercial communications via SMS or calls.

TRAI steps to curb Unsolicited commercial communication

TRAI has taken several initiatives to reduce Unsolicited Commercial Communication (UCC), which is a major source of annoyance for the public. It has resulted in fewer complaints filed against Registered Telemarketers (RTMs). Despite the TSPs’ efforts, UCC from Unregistered Telemarketers (UTMs) continues. Sometimes, these UTMs use messages with bogus URLs and phone numbers to trick clients into revealing crucial information, leading to financial loss.

To detect, identify, and prosecute all Unregistered Telemarketers (UTMs), the TRAI has mandated that Access Service Providers implement the UCC.

Detect the System with the necessary functionalities within the TRAI’s Telecom Commercial Communication Customer Preference Regulations, 2018 framework.

Access service providers have implemented such detection systems based on their applicability and practicality. However, because UTMs are constantly creating new strategies for sending unwanted communications, the present UCC detection systems provided by Access Service providers cannot detect such UCC.

TRAI also Directs Telecom Providers to Set Up Digital Platform for Customer Consent to Curb Promotional Calls and Messages.

Unregistered Telemarketers (UTMs) sometimes use messages with fake URLs and phone numbers to trick customers into revealing essential information, resulting in financial loss.

TRAI has urged businesses like banks, insurance companies, financial institutions, and others to re-verify their SMS content templates with telcos within two weeks. It also directed telecom companies to stop misusing commercial messaging templates within the next 45 days.

The telecom regulator has also instructed operators to limit the number of variables in a content template to three. However, if any business intends to utilise more than three variables in a content template for communicating with their users, this should be permitted only after examining the example message, as well as adequate justifications and justification.

In order to ensure consistency in UCC Detect System implementations, TRAI has directed all Access Providers to deploy UCC and detect systems based on artificial intelligence and Machine Learning that are capable of constantly evolving to deal with new signatures, patterns, and techniques used by UTMs.

Access Providers have also been directed to use the DLT platform to share intelligence with others. Access Providers have also been asked to ensure that such UCC Detect System detects senders that send unsolicited commercial communications in bulk and do not comply with the requirements. All Access Providers are directed to follow the instructions and provide an update on actions done within thirty days.

The move by TRAI is to curb the menacing calls as due to this, the number of scam cases is increasing, and now a new trend of scams started as recently, a Twitter user reported receiving an automated call from +91 96681 9555 with the message “This call is from Delhi Police.” It then asked her to stay in the queue since some of her documents needed to be picked up. Then he said he works as a sub-inspector at the Kirti Nagar police station in New Delhi. He then inquired whether she had recently misplaced her Aadhaar card, PAN card, or ATM card, to which she replied ‘no’. The scammer then poses as a cop and requests that she authenticate the last four digits of her card because they have found a card with her name on it. And a lot of other people tweeted about it.

Conclusion

TRAI directed the telcos to check the calls and messages from Unregistered numbers. This step of TRAI will curb the pesky calls and messages and catch the Frauds who are not registered with the regulation. Sometimes the unregistered sender sends fraudulent links, and through these fraudulent calls and messages, the sender tries to take the personal information of the customers, which results in financial losses.