#FactCheck-Old Cargo Ship Fire Video Misrepresented as Drone Strike on Indian Vessel Near Oman

Introduction

The Senate bill introduced on 19 March 2024 in the United States would require online platforms to obtain consumer consent before using their data for Artificial Intelligence (AI) model training. If a company fails to obtain this consent, it would be considered a deceptive or unfair practice and result in enforcement action from the Federal Trade Commission (FTC) under the AI consumer opt-in, notification standards, and ethical norms for training (AI Consent) bill. The legislation aims to strengthen consumer protection and give Americans the power to determine how their data is used by online platforms. 

The proposed bill also seeks to create standards for disclosures, including requiring platforms to provide instructions to consumers on how they can affirm or rescind their consent. The option to grant or revoke consent should be made available at any time through an accessible and easily navigable mechanism, and the selection to withhold or reverse consent must be at least as prominent as the option to accept while taking the same number of steps or fewer as the option to accept.

The AI Consent bill directs the FTC to implement regulations to improve transparency by requiring companies to disclose when the data of individuals will be used to train AI and receive consumer opt-in to this use. 
The bill also commissions an FTC report on the technical feasibility of de-identifying data, given the rapid advancements in AI technologies, evaluating potential measures companies could take to effectively de-identify user data.

The definition of ‘Artificial Intelligence System’ under the proposed bill

ARTIFICIALINTELLIGENCE SYSTEM- The term artificial intelligence system“ means a machine-based system that—

1. Is capable of influencing the environment by producing an output, including predictions, recommendations or decisions, for a given set of objectives; and
2. 2. Uses machine or human-based data and inputs to

(i) Perceive real or virtual environments;

(ii) Abstract these perceptions into models through analysis in an automated manner (such as by using machine learning) or manually; and

(iii) Use model inference to formulate options for outcomes.

Importance of the proposed AI Consent Bill USA

1. Consumer Data Protection: The AI Consent bill primarily upholds the privacy rights of an individual. Consent is necessitated from the consumer before data is used for AI Training; the bill aims to empower individuals with unhinged autonomy over the use of personal information. The scope of the bill aligns with the greater objective of data protection laws globally, stressing the criticality of privacy rights and autonomy.

2. Prohibition Measures: The proposed bill intends to prohibit covered entities from exploiting the data of consumers for training purposes without their consent. This prohibition extends to the sale of data, transfer to third parties and usage. Such measures aim to prevent data misuse and exploitation of personal information. The bill aims to ensure companies are leveraged by consumer information for the development of AI without a transparent process of consent.

3. Transparent Consent Procedures: The bill calls for clear and conspicuous disclosures to be provided by the companies for the intended use of consumer data for AI training. The entities must provide a comprehensive explanation of data processing and its implications for consumers. The transparency fostered by the proposed bill allows consumers to make sound decisions about their data and its management, hence nurturing a sense of accountability and trust in data-driven practices.

4. Regulatory Compliance: The bill's guidelines call for strict requirements for procuring the consent of an individual. The entities must follow a prescribed mechanism for content solicitation, making the process streamlined and accessible for consumers. Moreover, the acquisition of content must be independent, i.e. without terms of service and other contractual obligations. These provisions underscore the importance of active and informed consent in data processing activities, reinforcing the principles of data protection and privacy.

5. Enforcement and Oversight: To enforce compliance with the provisions of the bill, robust mechanisms for oversight and enforcement are established. Violations of the prescribed regulations are treated as unfair or deceptive acts under its provisions. Empowering regulatory bodies like the FTC to ensure adherence to data privacy standards. By holding covered entities accountable for compliance, the bill fosters a culture of accountability and responsibility in data handling practices, thereby enhancing consumer trust and confidence in the digital ecosystem.

Importance of Data Anonymization

Data Anonymization is the process of concealing or removing personal or private information from the data set to safeguard the privacy of the individual associated with it. Anonymised data is a sort of information sanitisation in which data anonymisation techniques encrypt or delete personally identifying information from datasets to protect data privacy of the subject. This reduces the danger of unintentional exposure during information transfer across borders and allows for easier assessment and analytics after anonymisation. When personal information is compromised, the organisation suffers not just a security breach but also a breach of confidence from the client or consumer. Such assaults can result in a wide range of privacy infractions, including breach of contract, discrimination, and identity theft.

The AI consent bill asks the FTC to study data de-identification methods. Data anonymisation is critical to improving privacy protection since it reduces the danger of re-identification and unauthorised access to personal information. Regulatory bodies can increase privacy safeguards and reduce privacy risks connected with data processing operations by investigating and perhaps implementing anonymisation procedures.

The AI consent bill emphasises de-identification methods, as well as the DPDP Act 2023 in India, while not specifically talking about data de-identification, but it emphasises the data minimisation principles, which highlights the potential future focus on data anonymisation processes or techniques in India.

Conclusion

The proposed AI Consent bill in the US represents a significant step towards enhancing consumer privacy rights and data protection in the context of AI development. Through its stringent prohibitions, transparent consent procedures, regulatory compliance measures, and robust enforcement mechanisms, the bill strives to strike a balance between fostering innovation in AI technologies while safeguarding the privacy and autonomy of individuals.

References:

• https://fedscoop.com/consumer-data-consent-training-ai-models-senate-bill/#:~:text=%E2%80%9CThe%20AI%20CONSENT%20Act%20gives,Welch%20said%20in%20a%20statement
• https://www.dataguidance.com/news/usa-bill-ai-consent-act-introduced-house#:~:text=USA%3A%20Bill%20for%20the%20AI%20Consent%20Act%20introduced%20to%20House%20of%20Representatives,-ConsentPrivacy%20Law&text=On%20March%2019%2C%202024%2C%20US,the%20U.S.%20House%20of%20Representatives
• https://datenrecht.ch/en/usa-ai-consent-act-vorgeschlagen/
• https://www.lujan.senate.gov/newsroom/press-releases/lujan-welch-introduce-billto-require-online-platforms-receive-consumers-consent-before-using-their-personal-data-to-train-ai-models/

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Executive Summary:
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A widely circulated claim on social media, including a post from the official X account of Pakistan, alleges that the Pakistan Air Force (PAF) carried out an airstrike on India, supported by a viral video. However, according to our research, the video used in these posts is actually footage from the video game Arma-3 and has no connection to any real-world military operation. The use of such misleading content contributes to the spread of false narratives about a conflict between India and Pakistan and has the potential to create unnecessary fear and confusion among the public.

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Claim:
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Viral social media posts, including the official Government of Pakistan X handle, claims that the PAF launched a successful airstrike against Indian military targets. The footage accompanying the claim shows jets firing missiles and explosions on the ground. The video is presented as recent and factual evidence of heightened military tensions.

Fact Check:

As per our research using reverse image search, the videos circulating online that claim to show Pakistan launching an attack on India under the name 'Operation Sindoor' are misleading. There is no credible evidence or reliable reporting to support the existence of any such operation. The Press Information Bureau (PIB) has also verified that the video being shared is false and misleading. During our research, we also came across footage from the video game Arma-3 on YouTube, which appears to have been repurposed to create the illusion of a real military conflict. This strongly indicates that fictional content is being used to propagate a false narrative. The likely intention behind this misinformation is to spread fear and confusion by portraying a conflict that never actually took place.

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Conclusion:
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It is true to say that Pakistan is using the widely shared misinformation videos to attack India with false information. There is no reliable evidence to support the claim, and the videos are misleading and irrelevant. Such false information must be stopped right away because it has the potential to cause needless panic. No such operation is occurring, according to authorities and fact-checking groups.

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• Claim: Viral social media posts claim PAF attack on India
• Claimed On:  Social Media
• Fact Check: False and Misleading

Introduction

The automobile business is fast expanding, with vehicles becoming sophisticated, interconnected gadgets equipped with cutting-edge digital technology. This integration improves convenience, safety, and efficiency while also exposing automobiles to a new set of cyber risks. Electric vehicles (EVs) are equipped with sophisticated computer systems that manage various functions, such as acceleration, braking, and steering. If these systems are compromised, it could result in hazardous situations, including the remote control of the vehicle or unauthorized access to sensitive data. The automotive sector is evolving with the rise of connected car stakeholders, exposing new vulnerabilities for hackers to exploit. 

Why Automotive Cybersecurity is required

Cybersecurity threats to automotives result from hardware, software and overall systems redundancy. Additional concerns include general privacy clauses that justify collecting and transferring data to “third-party vendors”, without explicitly disclosing who such third parties are and the manner of processing personal data. For example, infotainment platform data may show popular music and the user’s preferences, which may be used by the music industry to improve marketing strategies. Similarly, it is lesser known that any data relating to behavioural tracking data, such as driving patterns etc., are also logged by the original equipment manufacturer.

Hacking is not limited to attackers gaining control of an electronic automobile; it includes malicious actors hacking charging stations to manipulate the systems. In Russia, EV charging stations were hacked in Moscow to display pro-Ukraine and anti-Putin messages such as “Glory to Ukraine” and “Death to the enemy” in the backdrop of the Russia-Ukraine war. Other examples include instances from the Isle of Wight, where hackers controlled the EV monitor to show inappropriate content and display high voltage fault codes to EV owners, preventing them from charging their vehicles with empty batteries.

UN Economic Commission for Europe releases Regulation 155 for Automobiles

UN Economic Commission for Europe Regulation 155 lays down uniform provisions concerning the approval of vehicles with regard to cybersecurity and cybersecurity management systems (CSMS). This was originally a part of the Commission.s Work Paper (W.P.) 29 that aimed to harmonise vehicular regulations for vehicles and vehicle equipment. Regulation 155 has a two-prong objective; first, to ensure cybersecurity at the organisational level and second, to ensure adequate designs of the vehicle architecture. A critical aspect in this context is the implementation of a certified CSMS by all companies that bring vehicles to market. Notably, this requirement alters the perspective of manufacturers; their responsibilities no longer conclude with the start of production (SOP). Instead, manufacturers are now required to continuously monitor and assess the safety systems throughout the entire life cycle of a vehicle, including making any necessary improvements.

This Regulation reflects the highly dynamic nature of software development and assurance. Moreover, the management system is designed to ensure compliance with safety requirements across the entire supply chain. This is a significant challenge, considering that suppliers currently account for over 70 per cent of the software volume.

The Regulation, which is binding in nature for 64 member countries, came into force in 2021. UNECE countries were required to be compliant with the Regulations by July 2022 for all new vehicles and by July 2024, the Regulation was set to apply to all vehicles. It is believed that the Regulation will become a de facto global standard, since vehicles authorised in a particular country may not be brought into the global market or the market of any UNECE member country based on any other authorisation. In such a scenario, OEMs of non-member countries may be required to give a “self-declaration”, declaring the equipment’s conformity with cybersecurity standards.

Conclusion

To compete and ensure trust, global car makers must deliver a robust cybersecurity framework that meets evolving regulations. The UNECE regulations in this regard are driving this direction by requiring automotive original equipment manufacturers (OEMs) to integrate vehicle cybersecurity throughout the entire value chain. The ‘security by design' approach aims to build a connected car that is trusted by all.  Automotive cybersecurity involves measures and technologies to protect connected vehicles and their onboard systems from growing digital threats.

References:

1. “Electric vehicle cyber security risks and best practices (2023)”, Cyber Talk, 1 August 2023. https://www.cybertalk.org/2023/08/01/electric-vehicle-cyber-security-risks-and-best-practices-2023/#:~:text=EVs%20are%20equipped%20with%20complex,unauthorized%20access%20to%20sensitive%20data. 
2. Gordon, Aaron, “Russian Electric Vehicle Chargers Hacked, Tell Users “PUTIN IS A D*******D”, Vice, 28 February 2022. https://www.vice.com/en/article/russian-electric-vehicle-chargers-hacked-tell-users-putin-is-a-dickhead/ 
3. “Isle of Wight: Council’s electric vehicle chargers hacked to show porn site”, BBC, 6 April 2022. https://www.bbc.com/news/uk-england-hampshire-61006816 
4. Sandler, Manuel, “UN Regulation No. 155: What You Need to Know about UN R155”, Cyres Consulting, 1 June 2022. https://www.cyres-consulting.com/un-regulation-no-155-requirements-what-you-need-to-know/?srsltid=AfmBOopV1pH1mg6M2Nn439N1-EyiU-gPwH2L4vq5tmP0Y2vUpQR-yfP7#A_short_overview_Background_knowledge_on_UN_Regulation_No_155 
5. https://unece.org/wp29-introduction?__cf_chl_tk=ZYt.Sq4MrXvTwSiYURi_essxUCGCysfPq7eSCg1oXLA-1724839918-0.0.1.1-13972

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