#FactCheck - Viral Photos Falsely Linked to Iranian President Ebrahim Raisi's Helicopter Crash

Introduction

Privacy has become a concern for netizens and social media companies have access to a user’s data and the ability to use the said data as they see fit. Meta’s business model, where they rely heavily on collecting and processing user data to deliver targeted advertising, has been under scrutiny. The conflict between Meta and the EU traces back to the enactment of GDPR in 2018. Meta is facing numerous fines for not following through with the regulation and mainly failing to obtain explicit consent for data processing under Chapter 2, Article 7 of the GDPR. ePrivacy Regulation, which focuses on digital communication and digital data privacy, is the next step in the EU’s arsenal to protect user privacy and will target the cookie policies and tracking tech crucial to Meta's ad-targeting mechanism. Meta’s core revenue stream is sourced from targeted advertising which requires vast amounts of data for the creation of a personalised experience and is scrutinised by the EU. 

Pay for Privacy Model and its Implications with Critical Analysis

Meta came up with a solution to deal with the privacy issue - ‘Pay or Consent,’ a model that allows users to opt out of data-driven advertising by paying a subscription fee. The platform would offer users a choice between free, ad-supported services and a paid privacy-enhanced experience which aligns with the GDPR and potentially reduces regulatory pressure on Meta. 

Meta presently needs to assess the economic feasibility of this model and come up with answers for how much a user would be willing to pay for the privacy offered and shift Meta’s monetisation from ad-driven profits to subscription revenues. This would have a direct impact on Meta’s advertisers who use Meta as a platform for detailed user data for targeted advertising, and would potentially decrease ad revenue and innovate other monetisation strategies.

For the users, increased privacy and greater control of data aligning with global privacy concerns would be a potential outcome. While users will undoubtedly appreciate the option to avoid tracking, the suggestion does beg the question that the need to pay might become a barrier. This could possibly divide users between cost-conscious and privacy-conscious segments. Setting up a reasonable price point is necessary for widespread adoption of the model.

For the regulators and the industry, a new precedent would be set in the tech industry and could influence other companies’ approaches to data privacy. Regulators might welcome this move and encourage further innovation in privacy-respecting business models. 

The affordability and fairness of the ‘pay or consent’ model could create digital inequality if privacy comes at a digital cost or even more so as a luxury. The subscription model would also need clarifications as to what data would be collected and how it would be used for non-advertising purposes. In terms of market competition, competitors might use and capitalise on Meta’s subscription model by offering free services with privacy guarantees which could further pressure Meta to refine its offerings to stay competitive. According to the EU, the model needs to provide a third way for users who have ads but are a result of non-personalisation advertising.

Meta has further expressed a willingness to explore various models to address regulatory concerns and enhance user privacy. Their recent actions in the form of pilot programs for testing the pay-for-privacy model is one example. Meta is actively engaging with EU regulators to find mutually acceptable solutions and to demonstrate its commitment to compliance while advocating for business models that sustain innovation. Meta executives have emphasised the importance of user choice and transparency in their future business strategies.

Future Impact Outlook

• The Meta-EU tussle over privacy is a manifestation of broader debates about data protection and business models in the digital age. 
• The EU's stance on Meta’s ‘pay or consent’ model and any new regulatory measures will shape the future landscape of digital privacy, leading to other jurisdictions taking cues and potentially leading to global shifts in privacy regulations. 
• Meta may need to iterate on its approach based on consumer preferences and concerns. Competitors and tech giants will closely monitor Meta’s strategies, possibly adopting similar models or innovating new solutions. And the overall approach to privacy could evolve to prioritise user control and transparency.

Conclusion

Consent is the cornerstone in matters of privacy and sidestepping it violates the rights of users. The manner in which tech companies foster a culture of consent is of paramount importance in today's digital landscape. As the exploration by Meta in the ‘pay or consent’ model takes place, it faces both opportunities and challenges in balancing user privacy with business sustainability. This situation serves as a critical test case for the tech industry, highlighting the need for innovative solutions that respect privacy while fostering growth with the specificity of dealing with data protection laws worldwide, starting with India’s Digital Personal Data Protection Act, of 2023.

Reference:

• https://ciso.economictimes.indiatimes.com/news/grc/eu-tells-meta-to-address-consumer-fears-over-pay-for-privacy/111946106 
• https://www.wired.com/story/metas-pay-for-privacy-model-is-illegal-says-eu/ 
• https://edri.org/our-work/privacy-is-not-for-sale-meta-must-stop-charging-for-peoples-right-to-privacy/ 
• https://fortune.com/2024/04/17/meta-pay-for-privacy-rejected-edpb-eu-gdpr-schrems/ 

‍

Introduction

Discussions took place focused on cybersecurity measures, specifically addressing cybercrime in the context of emerging technologies such as Non-Fungible Tokens (NFTs), Artificial Intelligence (AI), and the Metaverse. Session 5 of the conference focused on the interconnectedness between the darknet and cryptocurrency and the challenges it poses for law enforcement agencies and regulators. They discussed that Understanding AI is necessary for enterprises. AI models have difficulties, but we are looking forward to trustworthy AIs. and AI technology must be transparent.

Darknet and Cryptocurrency

The darknet refers to the hidden part of the internet where illicit activities have proliferated in recent years. It was initially developed to provide anonymity, privacy, and protection to specific individuals such as journalists, activists, and whistleblowers. However, it has now become a playground for criminal activities. Cryptocurrency, particularly Bitcoin, has been widely adopted on the darknet due to its anonymous nature, enabling anti-money laundering and unlawful transactions.

Three major points emerge from this relationship: the integrated nature of the darknet and cryptocurrency, the need for regulations to prevent darknet-based crimes, and the importance of striking a balance between privacy and security.

Key Challenges:

1. Integrated Relations: The darknet and cryptocurrency have evolved independently, with different motives and purposes. It is crucial to understand the integrated relationship between them and how criminals exploit this connection.
2. Regulatory Frameworks: There is a need for effective regulations to prevent crimes facilitated through the darknet and cryptocurrency while striking a balance between privacy and security.
3. Privacy and Security: Privacy is a fundamental right, and any measures taken to enhance security should not infringe upon individual privacy. A multistakeholder approach involving tech companies and regulators is necessary to find this delicate balance.

Challenges Associated with Cryptocurrency Use:

The use of cryptocurrency on the darknet poses several challenges. The risks associated with darknet-based cryptocurrency crimes are a significant concern. Additionally, regulatory challenges arise due to the decentralised and borderless nature of cryptocurrencies. Mitigating these challenges requires innovative approaches utilising emerging technologies.

Preventing Misuse of Technologies:

The discussion emphasised that we can step ahead of the people who wish to use these beautiful technologies meant and developed for a different purpose, to prevent from using them for crime.

Monitoring the Darknet:

The darknet, as explained, is an elusive part of the internet that necessitates the use of a special browser for access. Initially designed for secure communication by the US government, its purpose has drastically changed over time. The darknet’s evolution has given rise to significant challenges for law enforcement agencies striving to monitor its activities.

Around 95% of the activities carried out on the dark net are associated with criminal acts. Estimates suggest that over 50% of the global cybercrime revenue originates from the dark net. This implies that approximately half of all cybercrimes are facilitated through the darknet.

The exploitation of the darknet has raised concerns regarding the need for effective regulation. Monitoring the darknet is crucial for law enforcement, national agencies, and cybersecurity companies. The challenges associated with the darknet’s exploitation and the criminal activities facilitated by cryptocurrency emphasise the pressing need for regulations to ensure a secure digital landscape.

Use of Cryptocurrency on the Darknet

Cryptocurrency plays a central role in the activities taking place on the darknet. The discussion highlighted its involvement in various illicit practices, including ransomware attacks, terrorist financing, extortion, theft, and the operation of darknet marketplaces. These applications leverage cryptocurrency’s anonymous features to enable illegal transactions and maintain anonymity.

AI's Role in De-Anonymizing the Darknet and Monitoring Challenges:

1.AI’s Potential in De-Anonymizing the Darknet

During the discussion, it was highlighted how AI could be utilised to help in de-anonymizing the darknet. AI’s pattern recognition capabilities can aid in identifying and analysing patterns of behaviour within the darknet, enabling law enforcement agencies and cybersecurity experts to gain insights into its operations. However, there are limitations to what AI can accomplish in this context. AI cannot break encryption or directly associate patterns with specific users, but it can assist in identifying illegal marketplaces and facilitating their takedown. The dynamic nature of the darknet, with new marketplaces quickly emerging, adds further complexity to monitoring efforts.

2.Challenges in Darknet Monitoring

Monitoring the darknet poses various challenges due to its vast amount of data, anonymous and encrypted nature, dynamically evolving landscape, and the need for specialised access. These challenges make it difficult for law enforcement agencies and cybersecurity professionals to effectively track and prevent illicit activities.

3.Possible Ways Forward

To address the challenges, several potential avenues were discussed. Ethical considerations, striking a balance between privacy and security, must be taken into account. Cross-border collaboration, involving the development of relevant laws and policies, can enhance efforts to combat darknet-related crimes. Additionally, education and awareness initiatives, driven by collaboration among law enforcement, government entities, and academia, can play a crucial role in combating darknet activities.

The panel also addressed the questions from the audience

• How law enforcement agencies and regulators can use AI to detect and prevent crimes on the darknet and cryptocurrency? The panel answered that- Law enforcement officers should also be AI and technology ready, and that kind of upskilling program should be there in place.
• How should lawyers and the judiciary understand the problem and regulate it? The panel answered that AI should only be applied by looking at the outcomes. And Law has to be clear as to what is acceptable and what is not.
• Aligning AI with human intention? Whether it’s possible? Whether can we create an ethical AI instead of talking about using AI ethically? The panel answered that we have to understand how to behave ethically. AI can beat any human. We have to learn AI. Step one is to focus on our ethical behaviour. And step two is bringing the ethical aspect to the software and technologies. Aligning AI with human intention and creating ethical AI is a challenge. The focus should be on ethical behaviour both in humans and in the development of AI technologies.

Conclusion

The G20 Conference on Crime and Security shed light on the intertwined relationship between the darknet and cryptocurrency and the challenges it presents to cybersecurity. The discussions emphasised the need for effective regulations, privacy-security balance, AI integration, and cross-border collaboration to tackle the rising cybercrime activities associated with the darknet and cryptocurrency. Addressing these challenges will require the combined efforts of governments, law enforcement agencies, technology companies, and individuals committed to building a safer digital landscape.

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.

‍