#FactCheck: AI Video made by Pakistan which says they launched a cross-border airstrike on India's Udhampur Airbase

Executive Summary: 

A viral post on X (formerly Twitter) has been spreading misleading captions about a video that falsely claims to depict severe wildfires in Los Angeles similar to the real wildfire happening in Los Angeles. Using AI Content Detection tools we confirmed that the footage shown is entirely AI-generated and not authentic. In this report, we’ll break down the claims, fact-check the information, and provide a clear summary of the misinformation that has emerged with this viral clip.

Claim:

A video shared across social media platforms and messaging apps alleges to show wildfires ravaging Los Angeles, suggesting an ongoing natural disaster.

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Fact Check:

After taking a close look at the video, we noticed some discrepancy such as the flames seem unnatural, the lighting is off, some glitches etc. which are usually seen in any AI generated video. Further we checked the video with an online AI content detection tool hive moderation, which says the video is AI generated, meaning that the video was deliberately created to mislead viewers. It’s crucial to stay alert to such deceptions, especially concerning serious topics like wildfires. Being well-informed allows us to navigate the complex information landscape and distinguish between real events and falsehoods.

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Conclusion: 

This video claiming to display wildfires in Los Angeles is AI generated, the case again reflects the importance of taking a minute to check if the information given is correct or not, especially when the matter is of severe importance, for example, a natural disaster. By being careful and cross-checking of the sources, we are able to minimize the spreading of misinformation and ensure that proper information reaches those who need it most.

• Claim: The video shows real footage of the ongoing wildfires in Los Angeles, California
• Claimed On: X (Formerly Known As Twitter)
• Fact Check: Fake Video

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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Introduction

Earlier this month, lawmakers in Colorado, a U.S. state, were summoned to a special legislative session to rewrite their newly passed Artificial Intelligence (AI) law before it even takes effect. Although the discussion taking place in Denver may seem distant, evolving regulations like this one directly address issues that India will soon encounter as we forge our own course for AI governance.

The Colorado Artificial Intelligence Act

Colorado became the first U.S. state to pass a comprehensive AI accountability law, set to come into force in 2026. It aims to protect people from bias, discrimination, and harm caused by predictive algorithms since AI tools have been known to reproduce societal biases by sidelining women from hiring processes, penalising loan applicants from poor neighbourhoods, or through welfare systems that wrongly deny citizens their benefits. But the law met resistance from tech companies who threatened to pull out form the state, claiming it is too broad in scope in its current form and would stifle innovation. This brings critical questions about AI regulation to the forefront:

• Who should be responsible when AI causes harm? Developers, deployers, or both? 
• How should citizens seek justice? 
• How can tech companies be incentivised to develop safe technologies? 

Colorado’s governor has called a special session to update the law before it kicks in. 

What This Means for India 

India is on its path towards framing a dedicated AI-specific law or directions, and discussions are underway through the IndiaAI Mission, the proposed Digital India Act, committee set by the Delhi High Court on deepfake and other measures. But the dilemmas Colorado is wrestling with are also relevant here.

• AI uptake is growing in public service delivery in India. Facial recognition systems are expanding in policing, despite accuracy and privacy concerns. Fintech apps using AI-driven credit scoring raise questions of fairness and transparency.
• Accountability is unclear. If an Indian AI-powered health app gives faulty advice, who should be liable- the global developer, the Indian startup deploying it, or the regulator who failed to set safeguards?
• India has more than 1,500 AI startups (NASSCOM), which, like Colorado’s firms, fear that onerous compliance could choke growth. But weak guardrails could undermine public trust in AI altogether.

Lessons for India

India’s Ministry of Electronics and IT ( MEITy) favours a light-touch approach to AI regulation, and exploring and advancing ways for a future-proof guideline. Further, lessons from other global frameworks can guide its way. 

• Colorado’s case shows us the necessity of incorporating feedback loops in the policy-making process. India should utilise regulatory sandboxes and open, transparent consultation processes before locking in rigid rules. 
• It will also need to explore proportionate obligations, lighter for low-risk applications and stricter for high-risk use cases such as policing, healthcare, or welfare delivery. 
• Europe’s AI Act is heavy on compliance, the U.S. federal government leans toward deregulation, and Colorado is somewhere in between. India has the chance to create a middle path, grounded in our democratic and developmental context.

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Conclusion

As AI becomes increasingly embedded in hiring, banking, education, and welfare, opportunities for ordinary Indians are being redefined. To shape how this pans out, states like Tamil Nadu and Telangana have taken early steps to frame AI policies. Lessons will emerge from their initiative in addressing AI governance. Policy and regulation will always be contested, but contestations are a part of the process. 

The Colorado debate shows us how participative law-making, with room for debate, revision, and iteration, is not a weakness but a necessity. For India’s emerging AI governance landscape, the challenge will be to embrace this process while ensuring that citizen rights and inclusion are balanced well with industry concerns. CyberPeace advocates for responsible AI regulation that balances innovation and accountability.

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References 

• https://www.cbsnews.com/colorado/news/colorado-lawmakers-look-repeal-replace-controversial-artificial-intelligence-law/
• https://www.naag.org/attorney-general-journal/a-deep-dive-into-colorados-artificial-intelligence-act/
• https://carnegieendowment.org/research/2024/11/indias-advance-on-ai-regulation?lang=en 
• https://the-captable.com/2024/12/india-ai-regulation-light-touch/ 
• https://indiaai.gov.in/article/tamilnadu-s-ai-policy-six-step-tamdef-guidance-framework-and-deepmax-scorecard 

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