#FactCheck - Viral Photos Falsely Linked to Iranian President Ebrahim Raisi's Helicopter Crash

Introduction

Rajeev Chandrasekhar, the Union minister of state for information technology (IT), said that the Global Partnership on Artificial Intelligence (GPAI) Summit, which brings together 29 member governments, including the European Union, announced on 13th December 2023 that the New Delhi Declaration had been adopted. The proclamation committed to developing AI applications for medical treatment and agribusiness jointly and taking the needs of the Global South into account when developing AI.

In addition, signing countries committed to leveraging the GPAI infrastructure to establish a worldwide structure for AI safety and trust, as well as to make AI advantages and approaches accessible to all. In order to complete the recommended structure in six months, India also submitted a proposal to host the GPAI Global Governance Summit.

“The New Delhi Declaration, which aims to place GPAI at the forefront of defining the future of AI in terms of both development and building cooperative AI across the partner states, has been unanimously endorsed by 29 GPAI member countries. Nations have come to an agreement to develop AI applications in healthcare, agriculture, and numerous other fields that affect all of our nations and citizens,” Chandrasekhar stated.

The statement highlights GPAI's critical role in tackling modern AI difficulties, such as generative AI, through submitted AI projects meant to maximize benefits and minimize related risks while solving community problems and worldwide difficulties.

GPAI

Global Partnership on Artificial Intelligence (GPAI) is an organisation of 29 countries from the Americas (North and South), Europe and Asia. It has important players such as the US, France, Japan and India, but it excludes China. The previous meeting took place in Japan. In 2024, India will preside over GPAI.

In order to promote and steer the responsible implementation of artificial intelligence based on human rights, multiculturalism, gender equality, innovation, economic growth, the surroundings, and social impact, this forum was established in 2020. Its goal is to bring together elected officials and experts in order to make tangible contributions to the 2030 Agenda and the UN Sustainable Development Goals (SDGs). 

Given the quick and significant advancements in artificial intelligence over the previous year, the meeting in New Delhi attracted particular attention. They have sparked worries about its misuse as well as enthusiasm about its possible advantages.

The Summit

The G20 summit, which India hosted in September 2023, provided an atmosphere for the discussions at the GPAI summit. There, participants of this esteemed worldwide economic conference came to an agreement on how to safely use AI for "Good and for All."

In order to safeguard people's freedoms and security, member governments pledged to address AI-related issues "in a responsible, inclusive, and human-centric manner."

The key tactic devised is to distribute AI's advantages fairly while reducing its hazards. Promoting international collaboration and discourse on global management for AI is the first step toward accomplishing this goal. 

A major milestone in that approach was the GPAI summit.

The conversation on AI was started by India's Prime Minister Narendra Modi, who is undoubtedly one of the most tech-aware and tech-conscious international authorities.

He noted that every system needs to be revolutionary, honest, and trustworthy in order to be sustained.

"There is no doubt that AI is transformative, but it is up to us to make it more and more transparent." He continued by saying that when associated social, ethical, and financial concerns are appropriately addressed, trust will increase.

After extensive discussions, the summit attendees decided on a strategy to establish global collaboration on a number of AI-related issues. The proclamation pledged to place GPAI at the leading edge of defining AI in terms of creativity and cooperation while expanding possibilities for AI in healthcare, agriculture, and other areas of interest, according to Union Minister Rajeev Chandrasekhar.

There was an open discussion of a number of issues, including disinformation, joblessness and bias, protection of sensitive information, and violations of human rights. The participants reaffirmed their dedication to fostering dependable, safe, and secure AI within their respective domains.

Concerns raised by AI

• The issue of legislation comes first. There are now three methods in use. In order to best promote inventiveness, the UK government takes a "less is more" approach to regulation. Conversely, the European Union (EU) is taking a strong stance, planning to propose a new Artificial Intelligence Act that might categorize AI 'in accordance with use-case situations based essentially on the degree of interference and vulnerability'.
• Second, analysts say that India has the potential to lead the world in discussions about AI. For example, India has an advantage when it comes to AI discussions because of its personnel, educational system, technological stack, and populace, according to Markham Erickson of Google's Centers for Excellence. However, he voiced the hope that Indian regulations will be “interoperable” with those of other countries in order to maximize the benefits for small and medium-sized enterprises in the nation.
• Third, there is a general fear about how AI will affect jobs, just as there was in the early years of the Internet's development. Most people appear to agree that while many jobs won't be impacted, certain jobs might be lost as artificial intelligence develops and gets smarter. According to Erickson, the solution to the new circumstances is to create "a more AI-skilled workforce." 
• Finally, a major concern relates to deepfakes defined as 'digital media, video, audio and images, edited and manipulated, using Artificial Intelligence (AI).'

Need for AI Strategy in Commercial Businesses

Firstly, astute or mobile corporate executives such as Shailendra Singh, managing director of Peak XV Partners, feel that all organisations must now have 'an AI strategy'.

Second, it is now impossible to isolate the influence of digital technology and artificial intelligence from the study of international relations (IR), foreign policy, and diplomacy. Academics have been contemplating and penning works of "the geopolitics of AI."

Combat Strategies

"We will talk about how to combine OECD capabilities to maximize our capacity to develop the finest approaches to the application and management of AI for the benefit of our people. The French Minister of Digital Transition and Telecommunications", Jean-Noël Barrot, informed reporters. 

Vice-Minister of International Affairs for Japan's Ministry of Internal Affairs and Communications Hiroshi Yoshida stated, "We particularly think GPAI should be more inclusive so that we encourage more developing countries to join." Mr Chandrasekhar stated, "Inclusion of lower and middle-income countries is absolutely core to the GPAI mission," and added that Senegal has become a member of the steering group.

India's role in integrating agribusiness into the AI agenda was covered in a paragraph. The proclamation states, "We embrace the use of AI innovation in supporting sustainable agriculture as a new thematic priority for GPAI."

Conclusion

The New Delhi Declaration, which was adopted at the GPAI Summit, highlights the cooperative determination of 29 member nations to use AI for the benefit of all people. GPAI, which will be led by India in 2024, intends to influence AI research with an emphasis on healthcare, agriculture, and resolving ethical issues. Prime Minister Narendra Modi stressed the need to use AI responsibly and build clarity and confidence. Legislative concerns, India's potential for leadership, employment effects, and the difficulty of deepfakes were noted. The conference emphasized the importance of having an AI strategy in enterprises and covered battle tactics, with a focus on GPAI's objective, which includes tolerance for developing nations. Taken as a whole, the summit presents GPAI as an essential tool for navigating the rapidly changing AI field.

References

• https://www.thehindu.com/news/national/ai-summit-adopts-new-delhi-declaration-on-inclusiveness-collaboration/article67635398.ece
• https://www.livemint.com/news/india/gpai-meet-adopts-new-delhi-ai-declaration-11702487342900.html
• https://startup.outlookindia.com/sector/policy/global-partnership-on-ai-member-nations-unanimously-adopt-new-delhi-declaration-news-10065
• https://gpai.ai/

Executive Summary

A viral video allegedly featuring cricketer Virat Kohli endorsing a betting app named ‘Aviator’ is being shared widely across the social platform. CyberPeace Research Team’s Investigations revealed that the same has been made using the deepfake technology. In the viral video, we found some potential anomalies that can be said to have been created using Synthetic Media, also no genuine celebrity endorsements for the app exist, we have also previously debunked such Deep Fake videos of cricketer Virat Kohli regarding the misuse of deep fake technology. The spread of such content underscores the need for social media platforms to implement robust measures to combat online scams and misinformation.

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Claims:

The claim made is that a video circulating on social media depicts Indian cricketer Virat Kohli endorsing a betting app called "Aviator." The video features an Indian News channel named India TV, where the journalist reportedly endorses the betting app followed by Virat Kohli's experience with the betting app.

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Fact Check:

Upon receiving the news, we thoroughly watched the video and found some featured anomalies that are usually found in regular deep fake videos such as the lip sync of the journalist is not proper, and if we see it carefully the lips do not match with the audio that we can hear in the Video. It’s the same case when Virat Kohli Speaks in the video.

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We then divided the video into keyframes and reverse searched one of the frames from the Kohli’s part, we found a video similar to the one spread, where we could see Virat Kohli wearing the same brown jacket in that video, uploaded on his verified Instagram handle which is an ad promotion in collaboration with American Tourister. 

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After going through the entire video, it is evident that Virat Kohli is not endorsing any betting app, rather he is talking about an ad promotion collaborating with American Tourister. 

We then did some keyword searches to see if India TV had published any news as claimed in the Viral Video, but we didn’t find any credible source.

Therefore, upon noticing the major anomalies in the video and doing further analysis found that the video was created using Synthetic Media, it's a fake and misleading one.

Conclusion:

The video of Virat Kohli promoting a betting app is fake and does not actually feature the celebrity endorsing the app. This brings up many concerns regarding how Artificial Intelligence is being used for fraudulent activities. Social media platforms need to take action against the spread of fake videos like these.

Claim: Video surfacing on social media shows Indian cricket star Virat Kohli promoting a betting application known as "Aviator."

Claimed on: Facebook

Fact Check: Fake & Misleading

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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.