#FactCheck : Old video of Ranveer Singh at Kashi Vishwanath Temple falsely linked to ‘Dhurandhar 2’ success

Introduction‍

Netizens across the globe have been enjoying the fruits of technological advancements in the digital century. Our personal and professional life has been impacted deeply by the new technologies. The previous year we saw an exponential rise in blockchain integration and the applications of Web 3.0. There is no denying that the Covid-19 pandemic caused a rapid rise in technology and internet penetration all across the globe, bringing the world closer with respect to connectivity and the exchange of ideas and knowledge. Tech advancements have definitely made our lives easier, but the same has also opened the doors to various vulnerabilities and new potential threats. As cyberspace expands, so do the vulnerabilities associated with it, and it is critical we take note of such issues and create safeguards to the extent that such incidents are prevented before they occur. We need to create sustainable and secure cyberspace for future generations.MetaVerse in 2023The metaverse was introduced by Facebook (now Meta) in 2021 as a peak into the future of cyberspace. Since then, tech developers have been working towards arming the metaverse with extraordinary innovations and applications. Netizens came across news like someone bought a house or a plot in the metaverse, someone bought a car in the metaverse, and so on, these news were taken to be the evidence of the netizen’s transition towards the new digital age as we have seen in sci-fi movies. But today this type of news has become history and the metaverse is expanding faster than ever. Let us look at the latest developments and trends in the metaverse-

• Avatar creation - The avatar creation in the metaverse will be a pivotal move as the avatars will represent the user, and essentially it will be the digital, version of the user and will be similar to the user's personal and physical traits to maintain realism in the metaverse.
• Architecture firms - Metaverse has its own set of architects who will be working towards creating your dream home or pro[erty in the metaverse, the heavy code-based services are now being sold just as if they were in the physical space.
• Mining - The metaverse already has companies who are mining gold, silver, petroleum, and other resources for the avatars in the metaverse, for instance, if someone has bought a car in the metaverse, it will still need fuel to run.
• Security firms - These firms are the first line of defenders in the metaverse as they provide tech-based solutions and protocols to secure one’s avatar and belongings in the metaverse.
• Metaverse Police - Interpol, along with its global partner organization has created the metaverse police, who will be working towards creating a safe cyber ecosystem by maintaining compliance with digital laws and ethics.

Advancements beyond metaverse in 2023

‍Technology continues to be a critical force for change in the world. Technology breakthroughs give enterprises more possibilities to lift their productivity and invent offerings. And while it remains difficult to forecast how technology trends will play out, business leaders can plan ahead better by watching the development of new technologies, anticipating how companies could utilize them, and understanding the factors that impact innovation and adoption.

• Applied observability

It advances the practice of pattern recognition. To foresee and identify abnormalities and offer solutions, one must have the capacity to delve deeply into complicated systems and a stream of data. Data fuels this aspect of tech growth in the future.

• Digital Immune System

To ensure that all major systems operate round-the-clock to deliver uninterrupted services, Digital Immune System will combine observability, AI-augmented testing, chaos engineering, site reliability engineering (SRE), and software supply chain security. This will take the efficiency of the systems to a new level.

• Super apps

These represent the upcoming shift in application usage, design, and development, where consumers will utilise a single app to manage most systems in an enterprise ecosystem. Over 50% of the world’s population will utilise super apps on a daily basis to fulfill their daily personal and professional needs.

• AR/VR and BlockChain technology

A combination of better interconnected, safe, and immersive virtual environments where people and businesses may recreate real-life scenarios will be created by combining AR/VR, AI/ML, IoT, and Blockchain, thus creating a new vertical of innovation with keen technologies of Web 3.0.

• AAI

The next level of AI, i.e., Advanced Artificial Intelligence (AI), will revolutionise machine learning, pattern recognition, and computing. It aims to fully automate processes without requiring any manual input, thus eradicating the issues of human error and bad actor influence completely.

• Corporate Metaverse

Aside from its power as a marketing tool, the metaverse promises to provide platforms, tools, and entire virtual worlds where business can be done remotely, efficiently, and intelligently. We can expect to see the metaverse concept merge with the idea of the “digital twin” – virtual simulations of real-world products, processes, or operations that can be used to test and prototype new ideas in the safe environment of the digital domain. From wind farms to Formula 1 cars, designers are recreating physical objects inside virtual worlds where their efficiency can be stress-tested under any conceivable condition without the resource costs that would be incurred by testing them in the physical world.ConclusionIn 2023, we will see more advanced use cases for technology such as motion capture, which will mean that as well as looking and sounding more like us, our avatars will adopt our own unique gestures and body language. We may even start to see further developments in the fields of autonomous avatars – meaning they won't be under our direct control but will be enabled by AI to act as our representatives in the digital world while we ourselves get on with other, completely unrelated tasks. As we go deeper into cyberspace, we need to remember the basic safety practices and inculcate them with respect to cyberspace and work towards creating string policies and legislations to safeguard the digital rights and duties of the netizen to create a wholesome and interdependent cyber ecosystem.

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‍Brief Overview of the EU AI Act

The EU AI Act, Regulation (EU) 2024/1689, was officially published in the EU Official Journal on 12 July 2024. This landmark legislation on Artificial Intelligence (AI) will come into force just 20 days after publication, setting harmonized rules across the EU. It amends key regulations and directives to ensure a robust framework for AI technologies.  The AI Act, a set of EU rules governing AI, has been in development for two years and now, the EU AI Act enters into force across all 27 EU Member States on 1 August 2024, with certain future deadlines tied up and the enforcement of the majority of its provisions will commence on 2 August 2026. The law prohibits certain uses of AI tools, including those that threaten citizens' rights, such as biometric categorization, untargeted scraping of faces, and systems that try to read emotions are banned in the workplace and schools, as are social scoring systems. It also prohibits the use of predictive policing tools in some instances. The law takes a phased approach to implementing the EU's AI rulebook, meaning there are various deadlines between now and then as different legal provisions will start to apply.

The framework puts different obligations on AI developers, depending on use cases and perceived risk. The bulk of AI uses will not be regulated as they are considered low-risk, but a small number of potential AI  use cases are banned under the law. High-risk use cases, such as biometric uses of AI or AI used in law enforcement, employment, education, and critical infrastructure, are allowed under the law but developers of such apps face obligations in areas like data quality and anti-bias considerations. A third risk tier also applies some lighter transparency requirements for makers of tools like AI chatbots.

In case of failure to comply with the Act, the companies in the EU providing, distributing, importing, and using AI systems and GPAI models, are subject to fines of up to EUR 35 million or seven per cent of the total worldwide annual turnover, whichever is higher.

Key highlights of EU AI Act Provisions

• The AI Act classifies AI according to its risk. It prohibits Unacceptable risks such as social scoring systems and manipulative AI. The regulation mostly addresses high-risk AI systems.
• Limited-risk AI systems are subject to lighter transparency obligations and according to the act, the developers and deployers must ensure that the end-users are aware that the interaction they are having is with AI such as Chatbots and Deepfakes. The AI Act allows the free use of minimal-risk AI. This includes the majority of AI applications currently available in the EU single market like AI-enabled video games, and spam filters, but with the advancement of Gen AI changes with regards to this might be done. The majority of obligations fall on providers (developers) of high-risk AI systems that intend to place on the market or put into service high-risk AI systems in the EU, regardless of whether they are based in the EU or a third country. And also, a third-country provider where the high-risk AI system’s output is used in the EU.
• Users are natural or legal persons who deploy an AI system in a professional capacity, not affected end-users. Users (deployers) of high-risk AI systems have some obligations, though less than providers (developers). This applies to users located in the EU, and third-country users where the AI system’s output is used in the EU.
• General purpose AI or GPAI model providers must provide technical documentation, and instructions for use, comply with the Copyright Directive, and publish a summary of the content used for training. Free and open license GPAI model providers only need to comply with copyright and publish the training data summary, unless they present a systemic risk. All providers of GPAI models that present a systemic risk – open or closed – must also conduct model evaluations, and adversarial testing, and track and report serious incidents and ensure cybersecurity protections.
• The Codes of Practice will account for international approaches. It will cover but not necessarily be limited to the obligations, particularly the relevant information to include in technical documentation for authorities and downstream providers, identification of the type and nature of systemic risks and their sources, and the modalities of risk management accounting for specific challenges in addressing risks due to the way they may emerge and materialize throughout the value chain. The AI Office may invite GPAI model providers, and relevant national competent authorities to participate in drawing up the codes, while civil society, industry, academia, downstream providers and independent experts may support the process.

Application & Timeline of Act

The EU AI Act will be fully applicable 24 months after entry into force, but some parts will be applicable sooner, for instance the ban on AI systems posing unacceptable risks will apply six months after the entry into force. The Codes of Practice will apply nine months after entry into force. Rules on general-purpose AI systems that need to comply with transparency requirements will apply 12 months after the entry into force. High-risk systems will have more time to comply with the requirements as the obligations concerning them will become applicable 36 months after the entry into force. The expected timeline for the same is:

• August 1st, 2024: The AI Act will enter into force.
• February 2025: Prohibition of certain AI systems - Chapters I (general provisions) & II (prohibited AI systems) will apply; Prohibition of certain AI systems.
• August 2025: Chapter III Section 4 (notifying authorities), Chapter V (general purpose AI models), Chapter VII (governance), Chapter XII (confidentiality and penalties), and Article 78 (confidentiality) will apply, except for Article 101 (fines for General Purpose AI providers); Requirements for new GPAI models. 
• August 2026: The whole AI Act applies, except for Article 6(1) & corresponding obligations (one of the categories of high-risk AI systems);
•  August 2027: Article 6(1) & corresponding obligations apply.

The AI Act sets out clear definitions for the different actors involved in AI, such as the providers, deployers, importers, distributors, and product manufacturers. This means all parties involved in the development, usage, import, distribution, or manufacturing of AI systems will be held accountable. Along with this, the AI Act also applies to providers and deployers of AI systems located outside of the EU, e.g., in Switzerland, if output produced by the system is intended to be used in the EU. The Act applies to any AI system within the EU that is on the market, in service, or in use, covering both AI providers (the companies selling AI systems) and AI deployers (the organizations using those systems).

In short, the AI Act will apply to different companies across the AI distribution chain, including providers, deployers, importers, and distributors (collectively referred to as “Operators”). The EU AI Act also has extraterritorial application and can also apply to companies not established in the EU, or providers outside the EU if they -make an AI system or GPAI model available on the EU market. Even if only the output generated by the AI system is used in the EU, the Act still applies to such providers and deployers. 

CyberPeace Outlook 

The EU AI Act, approved by EU lawmakers in 2024, is a landmark legislation designed to protect citizens' health, safety, and fundamental rights from potential harm caused by AI systems. The AI Act will apply to AI systems and GPAI models. The Act creates a tiered risk categorization system with various regulations and stiff penalties for noncompliance. The Act adopts a risk-based approach to AI governance, categorizing potential risks into four tiers: unacceptable, high, limited, and low. Violations of banned systems carry the highest fine: €35 million, or 7 percent of global annual revenue. It establishes transparency requirements for general-purpose AI systems. The regulation also provides specific rules for general-purpose AI (GPAI) models and lays down more stringent requirements for GPAI models with 'high-impact capabilities' that could pose a systemic risk and have a significant impact on the internal market. For high-risk AI systems, the AI Act addresses the issues of fundamental rights impact assessment and data protection impact assessment.

The EU AI Act aims to enhance trust in AI technologies by establishing clear regulatory standards governing AI. We encourage regulatory frameworks that strive to balance the desire to foster innovation with the critical need to prevent unethical practices that may cause user harm. The legislation can be seen as strengthening the EU's position as a global leader in AI innovation and developing regulatory frameworks for emerging technologies. It sets a global benchmark for regulating AI. The companies to which the act applies will need to make sure their practices align with the same. The act may inspire other nations to develop their own legislation contributing to global AI governance. The world of AI is complex and challenging, the implementation of regulatory checks, and compliance by the concerned companies, all pose a conundrum. However, in the end, balancing innovation with ethical considerations is paramount. 

At the same hand, the tech sector welcomes regulatory progress but warns that overly-rigid regulations could stifle innovation. Hence flexibility and adaptability are key to effective AI governance. The journey towards robust AI regulation has begun in major countries, and it is important that we find the right balance between safety and innovation and also take into consideration the industry reactions.

References: 

1. https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=OJ:L_202401689
2. https://www.theverge.com/2024/7/12/24197058/eu-ai-act-regulations-bans-deadline
3. https://techcrunch.com/2024/07/12/eus-ai-act-gets-published-in-blocs-official-journal-starting-clock-on-legal-deadlines/
4. https://www.wsgr.com/en/insights/eu-ai-act-to-enter-into-force-in-august.html
5. https://www.techtarget.com/searchenterpriseai/tip/Is-your-business-ready-for-the-EU-AI-Act
6. https://www.simmons-simmons.com/en/publications/clyimpowh000ouxgkw1oidakk/the-eu-ai-act-a-quick-guide

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Executive Summary:

The picture that went viral with the false story that Dhoni was supporting the Congress party, actually shows his joy over Chennai Super Kings' victory in the achievement of 6 million followers on X (formerly known as Twitter) in 2020. Dhoni's gesture was misinterpreted by many, which resulted in the spread of false information. The Research team of CyberPeace did an in-depth investigation of the photo's roots and confirmed its authenticity through a reverse image search, highlighting how news outlets and CSK's official social media channels shared it. The case illustrates the value of fact verification and the role of real information in preventing the fake news epidemic.

Claims:

An image of former Indian Cricket captain Mahendra Singh Dhoni, showed him urging people to vote for the Congress party,  wearing the Chennai Super Kings (CSK) jersey and showing his right palm visible and gesturing the number 'one' with his left index finger. In reality he is celebrating Chennai Super Kings' milestone achievement on X (formerly Twitter) in 2020. Many people are sharing the misinterpretation knowingly or unknowingly over social media platforms.

Fact Check:

After receiving the post, we ran a reverse image search of the image and found a news article published by NDTV. According to the news outlet, Dhoni and his teammates were celebrating CSK's milestone of reaching six million followers on X (formerly known as Twitter) in the photos.

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In the image it is written as a tweet of @chennaiipl, to get an idea we dig into the official account of Chennai Super Kings on X (formerly known as Twitter). And Voila! we found the exact post which surfaced on the X (formerly known as Twitter) on 5th October 2020.

Additionally, we found a video posted on the X (formerly known as Twitter) handle of CSK, featuring other cricketers celebrating the Six Million Followers milestone for which they are thanking the audience for their support. Again, it was posted on Oct 05, 2020. The caption of the video is written as “Chennai Super #SixerOnTwitter! A big thanks to all the super fans for each and every bouquet and brickbat throughout the last decade. All the #yellove to you. #WhistlePodu”

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Therefore it is easy to conclude that the viral image of MS Dhoni supporting Congress is wrong and misleading.

Conclusion:

The information that circulated online media regarding a picture of Mahendra Singh Dhoni supporting the Congress Party has been proven to be untrue. The actual photograph was of Dhoni congratulating the Chennai Super Kings for having six million followers on social media in the year 2020. This highlights the need for checking the facts of any news circulating online.

• Claim: A photo allegedly depicting former Indian cricket captain Mahendra Singh Dhoni encouraging people to support the Congress party in elections surfaced online.
• Claimed on: X (Formerly known as Twitter) 
• Fact Check: Fake & Misleading