#FactCheck -AI-Generated Image Misused to Spread False Claim of Assault on Seema Haider by Sachin Meena

Introduction

In today's era of digitalised community and connections, social media has become an integral part of our lives. we use social media to connect with our friends and family, and social media is also used for business purposes. Social media offers us numerous opportunities and ease to connect and communicate with larger communities. While it also poses some challenges, while we use social media, we come across issues such as inappropriate content, online harassment, online stalking, account hacking, misuse of personal information or data,  privacy issues, fake accounts, Intellectual property violation issues, abusive and dishearted content, content against the terms and condition policy of the platform and more. To deal with such issues, social media entities have proper reporting mechanisms and set terms and conditions guidelines to effectively prevent such issues and by addressing them in the best possible way by platform help centre or reporting mechanism.

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The Role of Help Centers in Resolving User Complaints:

The help centres are established on platforms to address user complaints and provide satisfactory assistance or resolution. Addressing user complaints is a key component of maintaining a safe and secure digital environment for users. Platform-centric help centres play a vital role in providing users with a resource to seek assistance and report their issues.

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Some common issues reported on social media:

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• Reporting abusive content: Users can report content that they find abusive, offensive, or in violation of platform policies. These reports are reviewed by the help centre.
• Reporting CSAM (Child Sexual Abuse Material): CSAM content can be reported to platform help centre. Social media platforms have stringent policies in place to address such concerns and ensure a safe digital environment for everyone, including children.
• Reporting Misinformation or Fake News: With the proliferation of misinformation online, users can report content that they find or suspect misleading or false information and Fact-checking bodies are employed to assess the accuracy of reported content.
• Content violating intellectual property rights: If there is a violation or infringement of any intellectual property work, it can be reported on the platform. 
• Violence of commercial policies: Products listed on social media platforms are also needed to comply with the platform’s  Commercial Policies.

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Submitting a Complaint to the Indian Grievance Officer for Facebook:

A user can report his issue through the below-mentioned websites:

• https://www.facebook.com/help/contact/278770247037228

• https://www.facebook.com/help/263149623790594

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The user can go to the Facebook Help Center, where go to the "Reporting a Problem” section, then by clicking on Reporting a Problem, Choose the Appropriate Issue that best describes your complaint. For example, if you have encountered inappropriate or abusive content, select the ‘I found inappropriate or abusive content’ option.

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Here is a list of issues which you can report on Facebook:

• My account has been hacked.
• I've lost access to a page or a group I used to manage.
• I've found a fake profile or a profile that's pretending to be me.
• I am being bullied or harassed.
• I found inappropriate or abusive content.
• I want to report content showing me in nudity/partial nudity or in a sexual act.
• I (or someone I am legally responsible for) appear in content that I do not want to be displayed.
• I am a law enforcement official seeking to access user data.
• I am a government official or a court officer seeking to submit an order, notice or direction.
• I want to download my personal data or report an issue with how Facebook is processing my data.
• I want to report an Intellectual Property infringement.
• I want to report another issue.

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Then, describe your issues and attach supporting evidence such as screenshots, then submit your report. After submitting a report, you will receive a confirmation that your report has been submitted to the platform. The platform will review the complaint within the stipulated time period, and users can also check the status of their filed complaint. Appropriate action will be taken by platforms after reviewing such complaints. If it violates any standard policy, terms & conditions, or privacy policies of the platform, the platform will take down that content or will take any other appropriate action.

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Conclusion: 

It is important to be aware of your rights in a digital landscape and report such issues to the platform. It is essential to understand how to report your issues or grievances on social media platforms effectively. By using the help centre or reporting mechanism of the platform, users can effectively file their complaints on the platform and contribute to a safer and more responsible online environment. Social media platforms have their compliance framework and privacy and policy guidelines in place to ensure the compliance framework for community standards and legal requirements. So, whenever you encounter an issue on social media, report it on the platform and contribute to a safer digital environment on social media platforms.

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References: 

• https://www.cyberyodha.org/2023/09/how-to-submit-complaint-to-indian.html
• https://transparency.fb.com/en-gb/enforcement/taking-action/complaints-handling-process/
• https://www.facebook.com/help/contact/278770247037228
• https://www.facebook.com/help/263149623790594

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Introduction

A message has recently circulated on WhatsApp alleging that voice and video chats made through the app will be recorded, and devices will be linked to the Ministry of Electronics and Information Technology’s system from now on. WhatsApp from now, record the chat activities and forward the details to the Government. The Anti-Government News has been shared on social media.

Message claims

• The fake WhatsApp message claims that an 11-point new communication guideline has been established and that voice and video calls will be recorded and saved. It goes on to say that WhatsApp devices will be linked to the Ministry’s system and that Facebook, Twitter, Instagram, and all other social media platforms will be monitored in the future.
• The fake WhatsApp message further advises individuals not to transmit ‘any nasty post or video against the government or the Prime Minister regarding politics or the current situation’. The bogus message goes on to say that it is a “crime” to write or transmit a negative message on any political or religious subject and that doing so could result in “arrest without a warrant.”
• The false message claims that any message in a WhatsApp group with three blue ticks indicates that the message has been noted by the government. It also notifies Group members that if a message has 1 Blue tick and 2 Red ticks, the government is checking their information, and if a member has 3 Red ticks, the government has begun procedures against the user, and they will receive a court summons shortly.

WhatsApp does not record voice and video calls

There has been news which is spreading that WhatsApp records voice calls and video calls of the users. the news is spread through a message that has been recently shared on social media. As per the Government, the news is fake, that WhatsApp cannot record voice and video calls. Only third-party apps can record voice and video calls. Usually, users use third-party Apps to record voice and video calls.

Third-party apps used for recording voice and video calls

• App Call recorder
• Call recorder- Cube ACR
• Video Call Screen recorder for WhatsApp FB
• AZ Screen Recorder
• Video Call Recorder for WhatsApp

Case Study

In 2022 there was a fake message spreading on social media, suggesting that the government might monitor WhatsApp talks and act against users. According to this fake message, a new WhatsApp policy has been released, and it claims that from now on, every message that is regarded as suspicious will have three 3 Blue ticks, indicating that the government has taken note of that message. And the same fake news is spreading nowadays.

WhatsApp Privacy policies against recording voice and video chats

The WhatsApp privacy policies say that voice calls, video calls, and even chats cannot be recorded through WhatsApp because of end-to-end encryption settings. End-to-end encryption ensures that the communication between two people will be kept private and safe.

WhatsApp Brand New Features

• Chat lock feature: WhatsApp Chat Lock allows you to store chats in a folder that can only be viewed using your device’s password or biometrics such as a fingerprint. When you lock a chat, the details of the conversation are automatically hidden in notifications. The motive of WhatsApp behind the cha lock feature is to discover new methods to keep your messages private and safe. The feature allows the protection of most private conversations with an extra degree of security
• Edit chats feature: WhatsApp can now edit your WhatsApp messages up to 15 minutes after they have been sent. With this feature, the users can make the correction in the chat or can add some extra points, users want to add.

Conclusion

The spread of misinformation and fake news is a significant problem in the age of the internet. It can have serious consequences for individuals, communities, and even nations. The news is fake as per the government, as neither WhatsApp nor the government could have access to WhatsApp chats, voice, and video calls on WhatsApp because of end-to-end encryption. End-to-end encryption ensures to protect of the communications of the users. The government previous year blocked 60 social media platforms because of the spreading of Anti India News. There is a fact check unit which identifies misleading and false online content.

Introduction
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How Generative Artificial Intelligence, or GenAI, is changing the employee workday is no longer limited to writing emails or debugging code, but now also includes analysing contracts, generating reports, and much more. The use of AI tools in everyday work has become commonplace, but the speed at which companies have adopted these technologies has created a new kind of risk. Unlike threats that come from an outside attacker, Shadow AI is created inside an organisation by a legitimate employee who uses unapproved AI tools to make their work more efficient and productive. In many cases, the employee is unaware of the potential security, data privacy, and compliance risks involved in using such tools to perform their job duties.
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What Is Shadow AI?

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Shadow AI is when individuals use AI tools at work that aren’t provided by the company, like tools or other software programs, without the knowledge or permission of the employer. Examples of shadow AI include:

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1. Using personal ChatGPT or other chatbot accounts to complete tasks at the office
2. Uploading business-related documents to online AI technologies for analysis or summarisation.
3. Copying proprietary source code into an online AI model for debugging
4. Installing browser extensions and add-ons that are not approved by IT or Security personnel.

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How Shadow AI Is Harmful

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1. Uncontrolled Data Exposure

When employees access or input information into their user-created AI, it becomes outside the controls of the company, such as both employee personal information and any third-party personal information, private company information (such as source code or contracts), and company internal strategies. After a user enters data into their user-created AIs, the company loses all ability to monitor how that data is stored, processed, or maintained. A data leak situation exists without a malicious cyberattack. The biggest risk of a data leak is not maliciousness but rather the loss of control and governance over sensitive data.

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2. Regulatory and Legal Non-Compliance

Data protection laws like GDPR, India’s Digital Personal Data Protection (DPDP) Act, HIPAA, and other relevant sectoral laws require businesses to process data in accordance with the law, to minimise the amount of data they use, and to be accountable for their actions. Shadow AI often results in the unlawful use of personal data due to a lack of a legal basis for the processing, unauthorised cross-border data transfers, and not having appropriate contractual protections in place with their AI service providers. Regulators do not see the convenience of employees as an excuse for not complying with the law, and therefore, the organisation is ultimately responsible for any violations that occur.

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3. Loss of Intellectual Property

Employees frequently use AI tools to speed up tasks involving proprietary information—debugging code, reviewing contracts, or summarising internal research. When done using unapproved AI platforms, this can expose trade secrets and intellectual property, eroding competitive advantage and creating long-term business risk.

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Real-Life Example: Samsung’s ChatGPT Data Leak

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In 2023, a case study exemplifying the Shadow AI risk occurred when Samsung Electronics placed a temporary ban on employee access to ChatGPT and other AI tools after reports from engineers revealed they were using ChatGPT to create debugging processes for internal source code and to summarise meeting notes. Consequently, confidential source code related to semiconductors was inadvertently uploaded onto a public AI platform. While there were no known incursions into the company’s system due to this incident, Samsung faced a significant challenge: once sensitive information is input into a public AI tool, it exists on external servers that are outside of the company’s purview or control.

As a result of this incident, Samsung restricted employee use of ChatGPT on corporate devices, issued a series of internal communications prohibiting the sharing of corporate data with public AI tools, and increased the urgency of their discussions regarding the adoption of secure, enterprise-level AI (artificial intelligence) solutions.

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What Organisations Are Doing Today

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Many organisations respond to Shadow AI risk by:

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1. Blocking access at the network level
2. Circulating warning emails or policies

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While these actions may reduce immediate exposure, they fail to address the root cause: employees still need AI to perform their jobs efficiently. As a result, bans often push AI usage underground, increasing Shadow AI rather than eliminating it.

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Why Blocking AI Does Not Work—Governance Does

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History has demonstrated that prohibition does not work - we see this when trying to block access to cloud storage, instant messaging and collaboration tools. Employees are forced to use personal devices and/or accounts when their employers block AI, which means employers do not have real-time visibility into how their employees are using these technologies, and creates friction with the security and compliance team as they try to enforce the types of tools their employees can use. Prohibiting AI adoption will not stop it from being adopted; it will just create a challenge for employers regarding how safe and responsible it is. The challenge for effective organisations is therefore to shift from denial and develop governance-first AI strategies aimed at controlling data usage, protection and security, rather than merely restricting access to a list of specific tools.

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Shadow AI: A Silent Legal Liability Under the GDPR

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Shadow AI isn't a problem for the Information Technology Department; it is a failure of Governance, Compliance and Law. By using AI tools that have not been approved as a result, the organisation processes personal data without a lawful basis (Article 6 of the General Data Protection Regulation (GDPR)), repurposes data for use beyond its original intent and in breach of the Purpose Limitation (Article 5(1)(b)), and routinely exceeds necessity and in breach of Data Minimisation (Article 5(1)(c)). The outcome of these actions is the use of tools that involve International Data Transfers Without Authorisation and are therefore in breach of Chapter V, and violate Article 32 because there are no enforceable safeguards in place. Most significantly, the failure to demonstrate Oversight, Logging and Control under Articles 5(2) and 24 constitutes a failure in Accountability. Therefore, from a Regulatory perspective, Shadow AI is not accidental and is not defensible.

The Right Solution: Secure and Governed AI Adoption

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1. Provide Approved AI Tools

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Employers have an obligation to supply business-approved AI technology for helping workers to be productive while maintaining maximum protections, like storing data separately and not using employees' data for training a model; defining how long data is kept, and the rules around deleting that data. When employees are provided with verified and secure AI options that align with their work processes, they will rely significantly less on Shadow AI.

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2. Enforce Zero-Trust Data Access

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The governance of AI systems must follow the principles of "zero trust," granting access to data only through the principle of "least privilege," which means that data access will only be allowed by the system user, and providing continuous verification of user-identity and context; this supports and helps establish context-aware controls to monitor and track all user activities, which will be especially important as agent-like AI systems become increasingly autonomous and are capable of operating at machine-speed where even small errors in configuration, will result in rapid and large expose to data.

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3. Apply DLP and Audit Logging

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It is important to have robust data loss prevention measures in place to protect sensitive data that is sent outside an organisation. The first end user or machine that accesses the data should be detailed in a comprehensive audit log that indicates when and how the data is accessed. In combination with other controls, these measures create accountability, comply with regulations, and assist with appropriately detecting and responding to incidents.

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4. Maintain Visibility Across AI, Cloud, and SaaS

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Security teams need unified visibility across AI tools, personal cloud applications, and SaaS platforms. Risks move across systems, and controls must follow the data wherever it flows.

Conclusion

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This new threat exposes an organisation to the risk of data loss through leaks, regulatory fines, liability for the loss of intellectual property, and reputational damage, all of which can occur without any intent to cause harm. The way forward is not to block AI, but to adopt a clear framework built on governance, visibility, and secure enablement. This approach allows organisations to use AI with confidence, while ensuring trust, accountability, and effective oversight to protect data and support AI in reaching its full transformative potential. AI use is encouraged, but it must be done responsibly, ethically, and securely.

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References 

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1. https://bronson.ai/resources/shadow-ai/
2. https://www.varonis.com/blog/shadow-ai
3. https://www.waymakeros.com/learn/gdpr-hipaa-shadow-ai-compliance-nightmare
4. https://www.forbes.com/sites/siladityaray/2023/05/02/samsung-bans-chatgpt-and-other-chatbots-for-employees-after-sensitive-code-leak/
5. https://www.usatoday.com/story/special/contributor-content/2025/05/23/shadow-ai-the-hidden-risk-in-todays-workplace/83822081007

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