#FactCheck - AI-Generated Video Falsely Claims Death of Iran’s Supreme Leader

Recognizing As the Ministry of Electronic and Information Technology (MeitY) continues to invite proposals from academicians, institutions, and industry experts to develop frameworks and tools for AI-related issues through the IndiaAI Mission, it has also funded two AI projects that will deal with matters related to deepfakes as per a status report submitted on 21st November 2024. The Delhi court also ordered the nomination of the members of a nine-member Committee constituted by the MeitY on 20th November 2024 (to address deepfake issues) and asked for a report within three months.‍

Funded AI projects :

The two projects funded by MeitY are:

1. Fake Speech Detection Using Deep Learning Framework- The project was initiated in December 2021 and focuses on detecting fake speech by creating a web interface for detection software this also includes investing in creating a speech verification software platform that is specifically designed for testing fake speech detection systems. It is set to end in December 2024. 
2. Design and Development of Software for Detecting Deepfake Videos and Images- This project was funded by MeitY from January 2022 to March 2024. It also involved the Centre for Development of Advanced Computing (C-DAC), Kolkata and Hyderabad as they have developed a prototype tool capable of detecting deepfakes. Named FakeCheck, it is designed as a desktop application and a web portal aiming to detect deepfakes without the use of the internet. Reports suggest that it is currently undergoing the testing phase and awaiting feedback.

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Apart from these projects, MeitY has released their expression of interest for proposals in four other areas which include: 

• Tools that detect AI-generated content along with traceable markers,
• Tools that develop an ethical AI framework for AI systems to be transparent and respect human values,
• An AI risk management and assessment tool that analyses threats and precarious situations of AI-specific risks in public AI use cases and;
• Tools that can assess the resilience of AI in stressful situations such as cyberattacks, national disasters, operational failures, etc. 

CyberPeace Outlook

Deepfakes pose significant challenges to critical sectors in India, such as healthcare and education, where manipulated content can lead to crimes like digital impersonation, misinformation, and fraud. The rapid advancement of AI, with developments (regarding regulation) that can’t keep pace, continues to fuel such threats. Recognising these risks, MeitY’s IndiaAI mission, promoting investments and encouraging educational institutions to undertake AI projects that strengthen the country's digital infrastructure comes in as a guiding light. A part of the mission focuses on developing indigenous solutions, including tools for assessment and regulation, to address AI-related threats effectively. While India is making strides in this direction, the global AI landscape is evolving rapidly, with many nations advancing regulations to mitigate AI-driven challenges. Consistent steps, including inviting proposals and funding projects provide the much-needed impetus for the mission to be realized.

References

1. https://economictimes.indiatimes.com/tech/technology/meity-dot-at-work-on-projects-for-fair-ai-development/articleshow/115777713.cms?from=mdr
2. https://www.hindustantimes.com/india-news/meity-seeks-tools-to-detect-deepfakes-label-ai-generated-content-101734410291642.html
3. https://www.msn.com/en-in/news/India/meity-funds-two-ai-projects-to-detect-fake-media-forms-committee-on-deepfakes/ar-AA1vMAlJ
4. https://indiaai.gov.in/

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Introduction

Microsoft has unveiled its ambitious roadmap for developing a quantum supercomputer with AI features, acknowledging the transformative power of quantum computing in solving complex societal challenges. Quantum computing has the potential to revolutionise AI by enhancing its capabilities and enabling breakthroughs in different fields. Microsoft’s groundbreaking announcement of its plans to develop a quantum supercomputer, its potential applications, and the implications for the future of artificial intelligence (AI). However, there is a need for regulation in the realms of quantum computing and AI and significant policies and considerations associated with these transformative technologies. This technological advancement will help in the successful development and deployment of quantum computing, along with the potential benefits and challenges associated with its implementation.

What isQuantum computing?

Quantum computing is an emerging field of computer science and technology that utilises principles from quantum mechanics to perform complex calculations and solve certain types of problems more efficiently than classical computers. While classical computers store and process information using bits, quantum computers use quantum bits or qubits.

‍Interconnected Future  

Quantum computing promises to significantly expand AI’s capabilities beyond its current limitations. Integrating these two technologies could lead to profound advancements in various sectors, including healthcare, finance, and cybersecurity. Quantum computing and artificial intelligence (AI) are two rapidly evolving fields that have the potential to revolutionise technology and reshape various industries. This section explores the interdependence of quantum computing and AI, highlighting how integrating these two technologies could lead to profound advancements across sectors such as healthcare, finance, and cybersecurity.

1. Enhancing AI Capabilities:

Quantum computing holds the promise of significantly expanding the capabilities of AI systems. Traditional computers, based on classical physics and binary logic, need help solving complex problems due to the exponential growth of computational requirements. Quantum computing, on the other hand, leverages the principles of quantum mechanics to perform computations on quantum bits or qubits, which can exist in multiple states simultaneously. This inherent parallelism and superposition property of qubits could potentially accelerate AI algorithms and enable more efficient processing of vast amounts of data.

1. Solving Complex Problems:

The integration of quantum computing and AI has the potential to tackle complex problems that are currently beyond the reach of classical computing methods. Quantum machine learning algorithms, for example, could leverage quantum superposition and entanglement to analyse and classify large datasets more effectively. This could have significant applications in healthcare, where AI-powered quantum systems could aid in drug discovery, disease diagnosis, and personalised medicine by processing vast amounts of genomic and clinical data.

1. Advancements in Finance and Optimisation:

The financial sector can benefit significantly from integrating quantum computing and AI. Quantum algorithms can be employed to optimise portfolios, improve risk analysis models, and enhance trading strategies. By harnessing the power of quantum machine learning, financial institutions can make more accurate predictions and informed decisions, leading to increased efficiency and reduced risks.

1. Strengthening Cybersecurity:

Quantum computing can also play a pivotal role in bolstering cybersecurity defences. Quantum techniques can be employed to develop new cryptographic protocols that are resistant to quantum attacks. In conjunction with quantum computing, AI can further enhance cybersecurity by analysing massive amounts of network traffic and identifying potential vulnerabilities or anomalies in real time, enabling proactive threat mitigation.

1. Quantum-Inspired AI:

Beyond the direct integration of quantum computing and AI, quantum-inspired algorithms are also being explored. These algorithms, designed to run on classical computers, draw inspiration from quantum principles and can improve performance in specific AI tasks. Quantum-inspired optimisation algorithms, for instance, can help solve complex optimisation problems more efficiently, enabling better resource allocation, supply chain management, and scheduling in various industries.

How Quantum Computing and AI Should be Regulated-

As quantum computing and artificial intelligence (AI) continues to advance, questions arise regarding the need for regulations to govern these technologies. There is debate surrounding the regulation of quantum computing and AI, considering the potential risks, ethical implications, and the balance between innovation and societal protection.

1. Assessing Potential Risks: Quantum computing and AI bring unprecedented capabilities that can significantly impact various aspects of society. However, they also pose potential risks, such as unintended consequences, privacy breaches, and algorithmic biases. Regulation can help identify and mitigate these risks, ensuring these technologies’ responsible development and deployment.
2. Ethical Implications: AI and quantum computing raise ethical concerns related to privacy, bias, accountability, and the impact on human autonomy. For AI, issues such as algorithmic fairness, transparency, and decision-making accountability must be addressed. Quantum computing, with its potential to break current encryption methods, requires regulatory measures to protect sensitive information. Ethical guidelines and regulations can provide a framework to address these concerns and promote responsible innovation.
3. Balancing Innovation and Regulation: Regulating quantum computing and AI involves balancing fostering innovation and protecting society’s interests. Excessive regulation could stifle technological advancements, hinder research, and impede economic growth. On the other hand, a lack of regulation may lead to the proliferation of unsafe or unethical applications. A thoughtful and adaptive regulatory approach is necessary, considering the dynamic nature of these technologies and allowing for iterative improvements based on evolving understanding and risks.
4. International Collaboration: Given the global nature of quantum computing and AI, international collaboration in regulation is essential. Harmonising regulatory frameworks can avoid fragmented approaches, ensure consistency, and facilitate ethical and responsible practices across borders. Collaborative efforts can also address data privacy, security, and cross-border data flow challenges, enabling a more unified and cooperative approach towards regulation.
5. Regulatory Strategies: Regulatory strategies for quantum computing and AI should adopt a multidisciplinary approach involving stakeholders from academia, industry, policymakers, and the public. Key considerations include:

1. Risk-based Approach: Regulations should focus on high-risk applications while allowing low-risk experimentation and development space.
2. Transparency and Explainability: AI systems should be transparent and explainable to enable accountability and address concerns about bias, discrimination, and decision-making processes.
3. Privacy Protection: Regulations should safeguard individual privacy rights, especially in quantum computing, where current encryption methods may be vulnerable.
4. Testing and Certification: Establishing standards for the testing and certification of AI systems can ensure their reliability, safety, and adherence to ethical principles.
5. Continuous Monitoring and Adaptation: Regulatory frameworks should be dynamic, regularly reviewed, and adapted to keep pace with the evolving landscape of quantum computing and AI.

Conclusion:

‍Integrating quantum computing and AI holds immense potential for advancing technology across diverse domains. Quantum computing can enhance the capabilities of AI systems, enabling the solution of complex problems, accelerating data processing, and revolutionising industries such as healthcare, finance, and cybersecurity. As research and development in these fields progress, collaborative efforts among researchers, industry experts, and policymakers will be crucial in harnessing the synergies between quantum computing and AI to drive innovation and shape a transformative future.The regulation of quantum computing and AI is a complex and ongoing discussion. Striking the right balance between fostering innovation, protecting societal interests, and addressing ethical concerns is crucial. A collaborative, multidisciplinary approach to regulation, considering international cooperation, risk assessment, transparency, privacy protection, and continuous monitoring, is necessary to ensure these transformative technologies' responsible development and deployment.

Executive Summary:

A misleading video has been widely shared online, falsely portraying Pandit Jawaharlal Nehru stating that he was not involved in the Indian independence struggle and he even opposed it. The video is a manipulated excerpt from Pandit Nehru’s final major interview in 1964 with American TV host Arnold Mich. The original footage available on India’s state broadcaster Prasar Bharati’s YouTube channel shows Pandit Nehru discussing about Muhammad Ali Jinnah, stating that Jinnah did not participate in the independence movement and opposed it. The viral video falsely edits Pandit Nehru’s comments to create a false narrative, which has been debunked upon reviewing the full, unedited interview.

Claims:

In the viral video, Pandit Jawaharlal Nehru states that he was not involved in the fight for Indian independence and even opposed it.

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Fact check:

Upon receiving the posts, we thoroughly checked the video and then we divided the video into keyframes using the inVid tool. We reverse-searched one of the frames of the video. We found a video uploaded by Prasar Bharati Archives official YouTube channel on 14 May 2019.

The description of the video reads, “Full video recording of what was perhaps Pandit Jawaharlal Nehru's last significant interview to American TV Host Arnold Mich Jawaharlal Nehru's last TV Interview - May 1964e his death. Another book by Chandrika Prasad provides a date of 18th May 1964  when the interview was aired in New York, this is barely a few days before the death of Pandit Nehru on 27th May 1964.”

On reviewing the full video, we found that the viral clip of Pandit Nehru runs from 14:50 to 15:45. In this portion, Pandit Nehru is speaking about Muhammad Ali Jinnah, a key leader of the Muslim League.

At the timestamp 14:34, the American TV interviewer Arnold Mich says, “You and Mr. Gandhi and Mr. Jinnah, you were all involved at that point of Independence and then partition in the fight for Independence of India from the British domination.” Pandit Nehru replied, “Mr. Jinnah was not involved in the fight for independence at all. In fact, he opposed it. Muslim League was started in about 1911 I think. It was started really by the British encouraged by them so as to create factions, they did succeed to some extent. And ultimately there came the partition.” 

Upon thoroughly analyzing we found that the viral video is an edited version of the real video to misrepresent the actual context of the video.

We also found the same interview uploaded on a Facebook page named Nehru Centre for Social Research on 1 December 2021.

Hence, the viral claim video is misleading and fake.

Hence, the viral video is fake and misleading and netizens must be careful while believing in such an edited video.

Conclusion:

In conclusion, the viral video claiming that Pandit Jawaharlal Nehru stated that he was not involved in the Indian independence struggle is found to be falsely edited. The original footage reveals that Pandit Nehru was referring to Muhammad Ali Jinnah's participation in the struggle, not his own. This explanation debunks the false story conveyed by the manipulated video.

• Claim:  Pandit Jawaharlal Nehru stated that he was not involved in the struggle for Indian independence and even he opposed it.
• Claimed on: YouTube, LinkedIn, Facebook, X (Formerly known as Twitter)
• Fact Check: Fake & Misleading

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