Wearable Tech: Navigating Privacy, Compliance, and Misinformation

Introduction

Whatsapp is one of the leading OTT messaging platforms, which has been owned by the tech giant Meta since 2013. WhatsApp enjoys a user base of nearly 2.24 billion people globally, with almost 487 million users in India. Since the advent of Whatsapp, it has been the most commonly used messaging app, and it has made an impact to such an extent that it is used for professional as well as personal purposes. Meta powers the platform and follows similar guidelines and policies as its parent company.

The New Feature

Users of WhatsApp on the web and desktop can now access one account from various devices. One WhatsApp account may now be used on up to four handsets thanks to a new update from Meta. Be aware that the multi-device capability has been planned for some time and is finally being made available to stable WhatsApp users. Each linked device (up to four devices can be linked) will function independently, and the independent devices will continue to receive messages even if the central device’s network connection is lost. Remember that WhatsApp will automatically log out of all the companion devices if the primary smartphone is dormant for an extended period. Four more gadgets may be a mix of four PCs and smartphones or four smartphones. This feature is now available for updates and downloads on Android as well as iOS platforms.

Potential issues

As we go deeper into the digital age, it is the responsibility of the tech giants to pilot innovation with features of security by design. Thus such new features should be accompanied by coherent safety and security policies or advisories to ensure the users understand the implications of the new features. Convenience over conditions is an essential part of cyberspace. It points to the civic duty of netizens to go through the conditions of any app rather than only focus on the convenience it creates. The following potential issues may arise from the new features on Whatsapp –

• Increased cybercrime- The bad actors now do not need to access SIM cards to commit frauds over the platforms as now on a single number 4 devices can be used hence the cybercriminal activity can increase over the platform. It is also pertinent for the platform to create SoPs for fake accounts which use multiple devices, as they pose a direct threat to the users and their interests.
• Difficulty in identifying and tracing- The LEAs will face a significant issue in identifying the bad actors and tracing them as the individual’s involvement through a linked device needs to be given legal validity and scope for investigation. This may also cause issues in evidence handling and analysis.
• Surge in Misinformation and Disinformation- With access to multiple devices, the screen time of an individual is also bound to increase. This leads to more time spent online, thus causing a rise in instances of misinformation and disinformation by bad actors. Thus the aspect of fack checking is of prime importance.
• Potential Oversharing of Personal Data- With the increased accessibility on different devices, it is very easy for the app to seek data from all devices on which the app is running, thus leading to a bigger reservoir of personal data for the platforms and data fiduciaries.
• Higher risk of Phishing, Ransomware and Malware Attacks- As the devices under the same login credentials and mobile number will increase, the message can be viewed on all the devices, thus increasing the risk of widespread embedded ransomware and malware in multiple devices is and ever-present threat.
• One number, more criminals- This feature will allow cybercriminals to operate using one device only, earlier they used to forge Adhaar cards to get new sims, but this feature will enable the bad actors to commit crimes and attacks from one single SIM using 4 different devices.
• Rise in Digital Footprint- As the number of devices increases, the users will generate more digital footprints. As a tech giant, Meta will have access to a bigger database, which increases the risk of data breaches by third-party actors.

Conclusion

In the fast-paced digital world, it is important to remain updated about new software, technologies and policies for our applications or forms of tech. This was a long-awaited feature from WhatsApp, and its value of it doesn’t lie in technological advancement only but also in the formulation of policies to govern this technology towards the trust and safety aspect of users. The platforms, in synergy with the policy makers, need to create a robust framework to accommodate the new features and add-ons on apps vehicle, staying in compliance with the laws of the land. Awareness about new features and vulnerabilities is a must for all netizens, and it is a shared responsibility for all netizens to spread the word about safety and security mechanisms.

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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Introduction:

This Op-ed sheds light on the perspectives of the US and China regarding cyber espionage. Additionally, it seeks to analyze China's response to the US accusation regarding cyber espionage.

What is Cyber espionage?

Cyber espionage or cyber spying is the act of obtaining personal, sensitive, or proprietary information from individuals without their knowledge or consent. In an increasingly transparent and technological society, the ability to control the private information an individual reveals on the Internet and the ability of others to access that information are a growing concern. This includes storage and retrieval of e-mail by third parties, social media, search engines, data mining, GPS tracking, the explosion of smartphone usage, and many other technology considerations. In the age of big data, there is a growing concern for privacy issues surrounding the storage and misuse of personal data and non-consensual mining of private information by companies, criminals, and governments. 

Cyber espionage aims for economic, political, and technological gain. Fox example Stuxnet (2010) cyber-attack by the US and its allies Israel against Iran’s Nuclear facilities. Three espionage tools were discovered connected to Stuxnet, such as Gauss, FLAME and DuQu, for stealing data such as passwords, screenshots, Bluetooth, Skype functions, etc.

Cyber espionage is one of the most significant and intriguing international challenges globally. Many nations and international bodies, such as the US and China, have created their definitions and have always struggled over cyber espionage norms.

The US Perspective

In 2009, US officials (along with other allied countries) mentioned that cyber espionage was acceptable if it safeguarded national security, although they condemned economically motivated cyber espionage. Even the Director of National Intelligence said in 2013 that foreign intelligence capabilities cannot steal foreign companies' trade secrets to benefit their firms. This stance is consistent with the Economic Espionage Act (EEA) of 1996, particularly Section 1831, which prohibits economic espionage. This includes the theft of a trade secret that "will benefit any foreign government, foreign agent or foreign instrumentality. 

Second, the US advocates for cybersecurity market standards and strongly opposes transferring personal data extracted from the US Office of Personnel Management (OPM) to cybercrime markets. Furthermore, China has been reported to sell OPM data on illicit markets. It became a grave concern for the US government when the Chinese government managed to acquire sensitive details of 22.1 million US government workers through cyber intrusions in 2014.

Third, Cyber-espionage is acceptable unless it’s utilized for Doxing, which involves disclosing personal information about someone online without their consent and using it as a tool for political influence operations. However, Western academics and scholars have endeavoured to distinguish between doxing and whistleblowing. They argue that whistleblowing, exemplified by events like the Snowden Leaks and Vault 7 disclosures, serves the interests of US citizens. In the US, being regarded as an open society, certain disclosures are not promoted but rather required by mandate.

Fourth, the US argues that there is no cyber espionage against critical infrastructure during peacetime. According to the US, there are 16 critical infrastructure sectors, including chemical, nuclear, energy, defence, food, water, and so on. These sectors are considered essential to the US, and any disruption or harm would impact security, national public health and national economic security.

The US concern regarding China’s cyber espionage

According to James Lewis (a senior vice president at the Center for US-China Economic and Security Review Commission), the US faces losses between $ 20 billion and $30 billion annually due to China’s cyberespionage. The 2018 U.S. Trade Representative (USTR) Section 301 report highlighted instances, where the Chinese government and executives from Chinese companies engaged in clandestine cyber intrusions to obtaining commercially valuable information from the U.S. businesses, such as in 2018 where officials from China’s Ministry of State Security, stole trade from General Electric aviation and other aerospace companies.    

China's response to the US accusations of cyber espionage

China's perspective on cyber espionage is outlined by its 2014 anti-espionage law, which was revised in 2023. Article 1 of this legislation is formulated to prevent, halt, and punish espionage actions to maintain national security. Article 4 addresses the act of espionage and does not differentiate between state-sponsored cyber espionage for economic purposes and state-sponsored cyber espionage for national security purposes. However, China doesn't make a clear difference between government-to-government hacking (spying) and government-to-corporate sector hacking, unlike the US. This distinction is less apparent in China due to its strong state-owned enterprise (SOE) sector. However, military spying is considered part of the national interest in the US, while corporate spying is considered a crime.

China asserts that the US has established cyber norms concerning cyber espionage to normalize public attribution as acceptable conduct. This is achieved by targeting China for cyber operations, imposing sanctions on accused Chinese individuals, and making political accusations, such as blaming China and Russia for meddling in US elections. Despite all this, Washington D.C has never taken responsibility for the infamous Flame and Stuxnet cyber operations, which were widely recognized as part of a broader collaborative initiative known as Operation Olympic Games between the US and Israel. Additionally, the US takes the lead in surveillance activities conducted against China, Russia, German Chancellor Angela Merkel, the United Nations (UN) Secretary-General, and several French presidents. Surveillance programs such as Irritant Horn, Stellar Wind, Bvp47, the Hive, and PRISM are recognized as tools used by the US to monitor both allies and adversaries to maintain global hegemony.

China urges the US to cease its smear campaign associated with Volt Typhoon’s cyberattack for cyber espionage, citing the publication of a report titled “Volt Typhoon: A Conspiratorial Swindling Campaign Targets with U.S. Congress and Taxpayers Conducted by U.S. Intelligence Community” by China's National Computer Virus Emergency Response Centre and the 360 Digital Security Group on 15 April. According to the report, 'Volt Typhoon' is a ransomware cyber criminal group self-identified as the 'Dark Power' and is not affiliated with any state or region. Multiple cybersecurity authorities in the US collaborated to fabricate this story just for more budgets from Congress. In the meantime, Microsoft and other U.S. cybersecurity firms are seeking more big contracts from US cybersecurity authorities. The reality behind “Volt Typhoon '' is a conspiratorial swindling campaign to achieve two objectives by amplifying the "China threat theory" and cheating money from the U.S. Congress and taxpayers.

Beijing condemned the US claims of cyber espionage without any solid evidence. China also blames the US for economic espionage by citing the European Parliament report that the National Security Agency (NSA) was also involved in assisting Boeing in beating Airbus for a multi-billion dollar contract. Furthermore, Brazilian President Dilma Rousseff also accused the US authorities of spying against the state-owned oil company “Petrobras” for economic reasons.

Conclusion

In 2015, the US and China marked a milestone as both President Xi Jinping and Barack Obama signed an agreement, committing that neither country's government would conduct or knowingly support cyber-enabled theft of trade secrets, intellectual property, or other confidential business information to grant competitive advantages to firms or commercial sectors. However, the China Cybersecurity Industry Alliance (CCIA) published a report titled 'US Threats and Sabotage to the Security and Development of Global Cyberspace' in 2024, highlighting the US escalating cyber-attack and espionage activities against China and other nations. Additionally, there has been a considerable increase in the volume and sophistication of Chinese hacking since 2016. According to a survey by the Center for International and Strategic Studies, out of 224 cyber espionage incidents reported since 2000, 69% occurred after Xi assumed office. Therefore, China and the US must address cybersecurity issues through dialogue and cooperation, utilizing bilateral and multilateral agreements.

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