#FactCheck- Old Georgia, Bulgaria Videos Falsely Linked to Attacks in Israel

Artificial Intelligence (AI) provides a varied range of services and continues to catch intrigue and experimentation. It has altered how we create and consume content. Specific prompts can now be used to create desired images enhancing experiences of storytelling and even education. However, as this content can influence public perception, its potential to cause misinformation must be noted as well. The realistic nature of the images can make it hard to discern as artificially generated by the untrained eye. As AI operates by analysing the data it was trained on previously to deliver, the lack of contextual knowledge and human biases (while framing prompts) also come into play. The stakes are higher whilst dabbling with subjects such as history, as there is a fine line between the creation of content with the intent of mere entertainment and the spread of misinformation owing to biases and lack of veracity left unchecked. AI-generated images enhance storytelling but can also spread misinformation, especially in historical contexts. For instance, an AI-generated image of London during the Black Death might include inaccurate details, misleading viewers about the past.

The Rise of AI-Generated Historical Images as Entertainment

Recently, generated images and videos of various historical instances along with the point of view of the people present have been floating all over the internet. Some of them include the streets of London during the Black Death in the 1300s in England, the eruption of Mount Vesuvius at Pompeii etc. Hogne and Dan, two creators who operate accounts named POV Lab and Time Traveller POV on TikTok state that they create such videos as they feel that seeing the past through a first-person perspective is an interesting way to bring history back to life while highlighting the cool parts, helping the audience learn something new. Mostly sensationalised for visual impact and storytelling, such content has been called out by historians for inconsistencies with respect to details particular of the time. Presently, artists admit to their creations being inaccurate, reasoning them to be more of an artistic interpretation than fact-checked documentaries. 

It is important to note that AI models may inaccurately depict objects (issues with lateral inversion), people(anatomical implausibilities), or scenes due to "present-ist" bias. As noted by Lauren Tilton, an associate professor of digital humanities at the University of Richmond, many AI models primarily rely on data from the last 15 years, making them prone to modern-day distortions especially when analysing and creating historical content. The idea is to spark interest rather than replace genuine historical facts while it is assumed that engagement with these images and videos is partly a product of the fascination with upcoming AI tools. Apart from this, there are also chatbots like Hello History and Charater.ai which enable simulations of interacting with historical figures that have piqued curiosity.

Although it makes for an interesting perspective, one cannot ignore that our inherent biases play a role in how we perceive the information presented. Dangerous consequences include feeding into conspiracy theories and the erasure of facts as information is geared particularly toward garnering attention and providing entertainment. Furthermore, exposure of such content to an impressionable audience with a lesser attention span increases the gravity of the matter. In such cases, information regarding the sources used for creation becomes an important factor.

Acknowledging the risks posed by AI-generated images and their susceptibility to create misinformation, the Government of Spain has taken a step in regulating the AI content created. It has passed a bill (for regulating AI-Generated content) that mandates the labelling of AI-generated images and failure to do so would warrant massive fines (up to $38 million or 7% of turnover on companies). The idea is to ensure that content creators label their content which would help to spot images that are artificially created from those that are not.

The Way Forward: Navigating AI and Misinformation

While AI-generated images make for exciting possibilities for storytelling and enabling intrigue, their potential to spread misinformation should not be overlooked. To address these challenges, certain measures should be encouraged.

1. Media Literacy and Awareness – In this day and age critical thinking and media literacy among consumers of content is imperative. Awareness, understanding, and access to tools that aid in detecting AI-generated content can prove to be helpful.
2. AI Transparency and Labeling – Implementing regulations similar to Spain’s bill on labelling content could be a guiding crutch for people who have yet to learn to tell apart AI-generated content from others.
3. Ethical AI Development – AI developers must prioritize ethical considerations in training using diverse and historically accurate datasets and sources which would minimise biases.

As AI continues to evolve, balancing innovation with responsibility is essential. By taking proactive measures in the early stages, we can harness AI's potential while safeguarding the integrity and trust of the sources while generating images.

References:

• https://www.npr.org/2023/06/07/1180768459/how-to-identify-ai-generated-deepfake-images
• https://www.nbcnews.com/tech/tech-news/ai-image-misinformation-surged-google-research-finds-rcna154333
• https://www.bbc.com/news/articles/cy87076pdw3o
• https://newskarnataka.com/technology/government-releases-guide-to-help-citizens-identify-ai-generated-images/21052024/
• https://www.technologyreview.com/2023/04/11/1071104/ai-helping-historians-analyze-past/
• https://www.psypost.org/ai-models-struggle-with-expert-level-global-history-knowledge/
• https://www.youtube.com/watch?v=M65IYIWlqes&t=2597s
• https://www.vice.com/en/article/people-are-creating-records-of-fake-historical-events-using-ai/?utm_source=chatgpt.com
• https://www.reuters.com/technology/artificial-intelligence/spain-impose-massive-fines-not-labelling-ai-generated-content-2025-03-11/?utm_source=chatgpt.com
• https://www.theguardian.com/film/2024/sep/13/documentary-ai-guidelines?utm_source=chatgpt.com

‍

Introduction
‍

Rapid growth in India’s Digital Economy has opened up various options for companies to utilise digital technology as part of their operations. Examples of these technologies include cloud computing; online payment systems; digitally enabled supply chains; and platforms that facilitate remote working. As small and medium enterprises(SMEs) represent a major part of India’s economy, they have quickly been able to capitalise on the benefits these technologies provide in improving their operational efficiency and developing an increased presence within the market. However, this rapid pace of digitalisation creates an exposure to a much greater breadth of cyber-security threats than ever for SMEs. Today, perhaps the greatest cyber-threat facing SMEs in India is ransomware, an increasing frequent type of cyber-attack that has been increasing on a global scale over the past few years and in response, there have been numerous initiatives by various government agencies, industry organisations, and cyber-security firms designed to educate the general public on the risks of ransomware. 

What is Ransomware?
‍

Ransomware is a type of malware, which prevents all users being able to access their file system or access their data until they pay a ransom. In a standard ransomware event an attacker will breach the company's network, and encrypt all critical files so that they are unable to be used. The attacker usually demands payment in bitcoin because it is a difficult trace  and promises to provide a key to unlock the data in exchange for the payment. Attackers gain access to company networks by using social engineering techniques such as phishing email, stolen password, or exploiting an unpatched vulnerability in the software that is running on the company's network. 
‍

The Rising Threat of Ransomware
‍

Cybercriminals have created one of the most destructive varieties of cybercrimes around the world through ransomware; while experts in the cybersecurity field project losses to global ransomware damage may reach $30 billion by 2025. There has also been a marked increase in SMEs being attacked by ransomware-based cybercriminals throughout India. NASSCOM has done research and found that many SMEs in India have experienced attempted ransomware attacks in the past few years alone. According to incident reports provided through CERT-In, there has been a noticeable increase in the number of cybercrime occurrences throughout different sectors of India’s economy since those reports began. These developments have shown an increase in the size and level of sophistication of ransomware related threats.
‍

Why Indian SMEs Remain Vulnerable Despite Awareness
‍

Despite increased awareness about cyber threats, there is a large number of Indian SMEs that continue to be vulnerable to ransomware. The main reason is financial limitations. Many small businesses typically have limited financial resources and those limited resources more often than not, go towards operations, including production, logistics, and marketing - cybersecurity costs are usually viewed as additional costs.

Another significant problem facing SMEs is a shortage of skilled cybersecurity professionals. Large enterprises typically have dedicated security teams responsible for protecting the enterprise, whereas SMEs will employ IT staff generally without any specific expertise in detecting/countering cyber threats. Human error are also significant contributors to these cyber incursion events. An employee can inadvertently click on an email link or download an infected attachment, or use a weak password - all of which could provide opportunities for cybercriminals to access the company's network. Phishing emails continue to be the most common approach for initiating ransomware.

Furthermore - many SMEs have implemented digital platforms, such as cloud-based applications and payment processing, without appropriately executing cybersecurity planning prior to implementation. Many of the issues that have arisen from such rapid digitisation are due to a lack of sufficient planned cybersecurity measures as part of the implementation process. This has also resulted in a situation where technological advancements such as Ransomware as a Service (RaaS) have created an even larger pool of potential perpetrators (cybercriminals) with little-to-no expertise being able to launch a widespread ransomware campaign using readily available/pre-manufactured tools.
‍

Real-World Cyber Incidents Affecting Indian SMEs
‍

As several examples recently demonstrate, Indian SMEs continue to experience significant cyber attack risks. Recently, a logistics firm located in Gurugram found itself locked out of nearly 4,000 shipments due to a ransomware attack, which cost them ₹12 lakhs to fix because they had poor backups and another incident in Gurugram which highlights how vulnerable many SMEs in the country continue to be to ransomware attacks. In the case of a garments company, a hacker compromised the company's server by placing ransomware on its system. The company was forced to shut down its computerised warehouse system as a result of the attack. Only after the company had lost access to its system, did it receive a ransom demand from the hacker, in the form of an email requesting payment of 15 bitcoins (approximately ₹25 lakh), in order for the hacker to restore the company's access to the system. The hacker also threatened to delete the company's financial and banking records if the ransom were not paid. Gurgaon Police's Cyber Cell received the report of the incident, and registered a first information report (FIR) against unknown hackers. The case represents an opportunity for SMEs to evaluate the risks associated with ransomware.

‍

Bridging the Gap Between Awareness and Implementation
‍

Although awareness campaigns can show organisations what types of cybersecurity risks they’re exposed to, these campaigns will not keep businesses from being victims of a ransomware attack by themselves.. The most critical step forward is the implementation of the principles of cybersecurity from an understanding viewpoint to that of an active action. Organisations need to go beyond being aware of the risks related to cyber and then put measures in place to mitigate those risks.

To improve cybersecurity, organisations may need to spend money on developing and maintaining systems; set up regular training for employees on handling cyber threats and implementing an incident response plan to address security incidents; back up data regularly; maintain the hardware and software used in the organisation's computer systems at least once a month (or more often if necessary); and monitor all aspects of its computer systems continuously for weaknesses or problems.
‍

The Way Forward: Strengthening SME Cybersecurity
‍

In order to truly address the ransomware threat, collaboration by businesses, government agencies and cyber security professionals is mandatory. One of the biggest roles in this collaboration is through governmental initiatives to enhance the overall level of awareness of digital security among SMEs (small to medium-sized enterprises). Improved SME understanding of cyber risks will be based on the availability of affordable security solutions that are specifically tailored for small businesses.

Industry partnerships as well as public-private partnerships also aid the sharing of threat intelligence to strengthen collaborative defense against all cybercriminal activity.
‍

Conclusion
‍

Despite Indian SMEs being aware of cyber threats, they have been unable to implement safeguards or Cyber Security plans due to limited financial resources, insufficient qualified personnel, human errors, and the rapid pace at which digital technology is being adopted without adequate Cyber Security measures. In order to respond effectively to the growing threat of Ransomware, Indian SMEs must evolve from being aware of cyber threats to proactively developing Cyber Security strategies that will allow them to prevent, prepare for, and recover from the increased cyber threat posed by the rapidly growing digitalisation of business within an increasingly globalised economy.
‍

References 
‍

1. https://www.ibm.com/think/topics/ransomware
2. https://primeinfoserv.com/indias-sme-cybersecurity-crisis-real-incidents-real-lessons-2024-2025/
3. https://timesofindia.indiatimes.com/city/gurgaon/ransomware-attack-on-apparel-firm-all-data-lost/articleshow/59496777.cms#
4. https://ciso.economictimes.indiatimes.com/news/cybercrime-fraud/indian-businesses-face-nearly-700-ransomware-attacks-per-day-kaspersky/120471668
5. https://smestreet.in/msmenews/indian-smes-remain-alarmingly-exposed-to-ransomware-threats-sophos-report-2025-9456628
6. https://m.economictimes.com/news/how-to/how-can-indian-smes-combat-ransomware-attacks/articleshow/108047111.cms

‍

Introduction

With the rise of AI deepfakes and manipulated media, it has become difficult for the average internet user to know what they can trust online. Synthetic media can have serious consequences, from virally spreading election disinformation or medical misinformation to serious consequences like revenge porn and financial fraud. Recently, a Pune man lost ₹43 lakh when he invested money based on a deepfake video of Infosys founder Narayana Murthy. In another case, that of Babydoll Archi, a woman from Assam had her likeness deepfaked by an ex-boyfriend to create revenge porn.

Image or video manipulation used to leave observable traces. Online sources may advise examining the edges of objects in the image, checking for inconsistent patterns, lighting differences, observing the lip movements of the speaker in a video or counting the number of fingers on a person’s hand. Unfortunately, as the technology improves, such folk advice might not always help users identify synthetic and manipulated media.

‍

The Coalition for Content Provenance and Authenticity (C2PA)

‍

One interesting project in the area of trust-building under these circumstances has been the Coalition for Content Provenance and Authenticity (C2PA). Started in 2019 by Adobe and Microsoft, C2PA is a collaboration between major players in AI, social media, journalism, and photography, among others. It set out to create a standard for publishers of digital media to prove the authenticity of digital media and track changes as they occur.

When photos and videos are captured, they generally store metadata like the date and time of capture, the location, the device it was taken on, etc. C2PA developed a standard for sharing and checking the validity of this metadata, and adding additional layers of metadata whenever a new user makes any edits. This creates a digital record of any and all changes made. Additionally, the original media is bundled with this metadata. This makes it easy to verify the source of the image and check if the edits change the meaning or impact of the media. This standard allows different validation software, content publishers and content creation tools to be interoperable in terms of maintaining and displaying proof of authenticity.

‍

‍

‍

The standard is intended to be used on an opt-in basis and can be likened to a nutrition label for digital media. Importantly, it does not limit the creativity of fledgling photo editors or generative AI enthusiasts; it simply provides consumers with more information about the media they come across.

‍

Could C2PA be Useful in an Indian Context?

‍

The World Economic Forum’s Global Risk Report 2024, identifies India as a significant hotspot for misinformation. The recent AI Regulation report by MeitY indicates an interest in tools for watermarking AI-based synthetic content for ease of detecting and tracking harmful outcomes. Perhaps C2PA can be useful in this regard as it takes a holistic approach to tracking media manipulation, even in cases where AI is not the medium.

Currently, 26 India-based organisations like the Times of India or Truefy AI have signed up to the Content Authenticity Initiative (CAI), a community that contributes to the development and adoption of tools and standards like C2PA. However, people are increasingly using social media sites like WhatsApp and Instagram as sources of information, both of which are owned by Meta and have not yet implemented the standard in their products.

India also has low digital literacy rates and low resistance to misinformation. Part of the challenge would be showing people how to read this nutrition label, to empower people to make better decisions online. As such, C2PA is just one part of an online trust-building strategy. It is crucial that education around digital literacy and policy around organisational adoption of the standard are also part of the strategy.

The standard is also not foolproof. Current iterations may still struggle when presented with screenshots of digital media and other non-technical digital manipulation. Linking media to their creator may also put journalists and whistleblowers at risk. Actual use in context will show us more about how to improve future versions of digital provenance tools, though these improvements are not guarantees of a safer internet.

The largest advantage of C2PA adoption would be the democratisation of fact-checking infrastructure. Since media is shared at a significantly faster rate than it can be verified by professionals, putting the verification tools in the hands of people makes the process a lot more scalable. It empowers citizen journalists and leaves a public trail for any media consumer to look into.

‍

Conclusion

‍

From basic colour filters to make a scene more engaging, to removing a crowd from a social media post, to editing together videos of a politician to make it sound like they are singing a song, we are so accustomed to seeing the media we consume be altered in some way. The C2PA is just one way to bring transparency to how media is altered. It is not a one-stop solution, but it is a viable starting point for creating a fairer and democratic internet and increasing trust online. While there are risks to its adoption, it is promising to see that organisations across different sectors are collaborating on this project to be more transparent about the media we consume.

References

‍

• https://c2pa.org/
• https://contentauthenticity.org/
• https://indianexpress.com/article/technology/tech-news-technology/kate-middleton-9-signs-edited-photo-9211799/  
• https://photography.tutsplus.com/articles/fakes-frauds-and-forgeries-how-to-detect-image-manipulation--cms-22230
• https://www.media.mit.edu/projects/detect-fakes/overview/
• https://www.youtube.com/watch?v=qO0WvudbO04&pp=0gcJCbAJAYcqIYzv
• https://www3.weforum.org/docs/WEF_The_Global_Risks_Report_2024.pdf
• https://indianexpress.com/article/technology/tech-news-technology/ai-law-may-not-prescribe-penal-consequences-for-violations-9457780/
• https://thesecretariat.in/article/meity-s-ai-regulation-report-ambitious-but-no-concrete-solutions
• https://www.ndtv.com/lifestyle/assam-what-babydoll-archi-viral-fame-says-about-india-porn-problem-8878689
• https://www.meity.gov.in/static/uploads/2024/02/9f6e99572739a3024c9cdaec53a0a0ef.pdf

‍