#FactCheck: Old Protest Video Misleadingly Shared as Police Action During BRICS Summit

Introduction

The United Nations General Assembly (UNGA) has unanimously adopted the first global resolution on Artificial Intelligence (AI), encouraging countries to take into consideration human rights, keeping personal data safe, and further monitoring the threats associated with AI. This non-binding resolution proposed by the United States and co-sponsored by China and over 120 other nations advocates the strengthening of privacy policies. This step is crucial for governments across the world to shape how AI grows because of the dangers it carries that could undermine the protection, promotion, and right to human dignity and fundamental freedoms. The resolution emphasizes the importance of respecting human rights and fundamental freedoms throughout the life cycle of AI systems, highlighting the benefits of digital transformation and safe AI systems.

Key highlights

● This is indeed a landmark move by the UNGA, which adopted the first global resolution on AI. This resolution encourages member countries to safeguard human rights, protect personal data, and monitor AI for risks.

● Global leaders have shown their consensus for safe, secure, trustworthy AI systems that advance sustainable development and respect fundamental freedom.

● Resolution is the latest in a series of initiatives by governments around the world to shape AI. Therefore, AI will have to be created and deployed through the lens of humanity and dignity, Safety and Security, human rights and fundamental freedoms throughout the life cycle of AI systems.

● UN resolution encourages global cooperation, warns against improper AI use, and emphasizes the issues of human rights.

● The resolution aims to protect from potential harm and ensure that everyone can enjoy its benefits. The United States has worked with over 120 countries at the United Nations, including Russia, China, and Cuba, to negotiate the text of the resolution adopted.

Brief Analysis

AI has become increasingly prevalent in recent years, with chatbots such as the  Chat GPT taking the world by storm. AI has been steadily attempting to replicate human-like thinking and solve problems. Furthermore, machine learning, a key aspect of AI, involves learning from experience and identifying patterns to solve problems autonomously. The contemporary emergence of AI has, however, raised questions about its ethical implications, potential negative impact on society, and whether it is too late to control it.

While AI is capable of solving problems quickly and performing various tasks with ease, it also has its own set of problems. As AI continues to grow, global leaders have called for regulations to prevent significant harm due to the unregulated AI landscape to the world and encourage the use of trustworthy AI. The European Union (EU) has come up with an AI act called the “European AI Act”.  Recently, a Senate bill called “The AI Consent Bill” was introduced in the US. Similarly, India is also proactively working towards setting the stage for a more regulated Al landscape by fostering dialogues and taking significant measures. Recently, the Ministry of Electronics and Information Technology (MeitY) issued an advisory on AI, which requires explicit permission to deploy under-testing or unreliable AI models related to India's Internet. The following advisory also indicates measures advocating to combat deepfakes or misinformation.

AI has thus become a powerful tool that has raised concerns about its ethical implications and the potential negative influence on society. Governments worldwide are taking action to regulate AI and ensure that it remains safe and effective. Now, the groundbreaking move of the UNGA, which adopted the global resolution on AI, with the support of all 193 U.N. member nations, shows the true potential of efforts by countries to regulate AI and promote safe and responsible use globally.

New AI tools have emerged in the public sphere, which may threaten humanity in an unexpected direction. AI is able to learn by itself through machine learning to improve itself, and developers often are surprised by the emergent abilities and qualities of these tools. The ability to manipulate and generate language, whether with words, images, or sounds, is the most important aspect of the current phase of the ongoing AI Revolution. In the future, AI can have several implications. Hence, it is high time to regulate AI and promote the safe, secure and responsible use of it.

Conclusion

The UNGA has approved its global resolution on AI, marking significant progress towards creating global standards for the responsible development and employment of AI. The resolution underscores the critical need to protect human rights, safeguard personal data, and closely monitor AI technologies for potential hazards. It calls for more robust privacy regulations and recognises the dangers associated with improper AI systems. This profound resolution reflects a unified stance among UN member countries on overseeing AI to prevent possible negative effects and promote safe, secure and trustworthy AI.

References

● https://www.reuters.com/technology/cybersecurity/un-adopts-first-global-artificial-intelligence-resolution-2024-03-21/

● https://www.thehindu.com/sci-tech/technology/the-un-adopts-a-resolution-backing-efforts-to-ensure-artificial-intelligence-is-safe/article67979196.ece

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In the rich history of humanity, the advent of artificial intelligence (AI) has added a new, delicate aspect. The aspect of promising technological advancement has the potential to either enrich the nest of our society or destroy it entirely. The latest straw in this complex nest is generative AI, a frontier teeming with both potential and perils. It is a realm where the ethereal concepts of cyber peace and resilience are not just theoretical constructs but tangible necessities.

The spectre of generative AI looms large over the digital landscape, casting a long shadow on the sanctity of data privacy and the integrity of political processes. The seeds of this threat were sown in the fertile soil of the Cambridge Analytica scandal of 2018, a watershed moment that unveiled the extent to which personal data could be harvested and utilized to influence electoral outcomes. However despite the indignation, the scandal resulted in meagre alterations to modus operandi of digital platforms.

Fast forward to the present day, and the spectre has only grown more ominous. A recent report by Human Rights Watch has shed light on the continued exploitation of data-driven campaigning in Hungary's re-election of Viktor Orbán. The report paints a chilling picture of political parties leveraging voter databases for targeted social media advertising, with the ruling Fidesz party even resorting to the unethical use of public service data to bolster its voter database.

The Looming Threat of Disinformation

As we stand on the precipice of 2024, a year that will witness over 50 countries holding elections, the advancements in generative AI could exponentially amplify the ability of political campaigns to manipulate electoral outcomes. This is particularly concerning in countries where information disparities are stark, providing fertile ground for the seeds of disinformation to take root and flourish.

The media, the traditional watchdog of democracy, has already begun to sound the alarm about the potential threats posed by deepfakes and manipulative content in the upcoming elections. The limited use of generative AI in disinformation campaigns has raised concerns about the enforcement of policies against generating targeted political materials, such as those designed to sway specific demographic groups towards a particular candidate.

Yet, while the threat of bad actors using AI to generate and disseminate disinformation is real and present, there is another dimension that has largely remained unexplored: the intimate interactions with chatbots. These digital interlocutors, when armed with advanced generative AI, have the potential to manipulate individuals without any intermediaries. The more data they have about a person, the better they can tailor their manipulations.

Root of the Cause 

To fully grasp the potential risks, we must journey back 30 years to the birth of online banner ads. The success of the first-ever banner ad for AT&T, which boasted an astounding 44% click rate, birthed a new era of digital advertising. This was followed by the advent of mobile advertising in the early 2000s. Since then, companies have been engaged in a perpetual quest to harness technology for manipulation, blurring the lines between commercial and political advertising in cyberspace.

Regrettably, the safeguards currently in place are woefully inadequate to prevent the rise of manipulative chatbots. Consider the case of Snapchat's My AI generative chatbot, which ostensibly assists users with trivia questions and gift suggestions. Unbeknownst to most users, their interactions with the chatbot are algorithmically harvested for targeted advertising. While this may not seem harmful in its current form, the profit motive could drive it towards more manipulative purposes.

If companies deploying chatbots like My AI face pressure to increase profitability, they may be tempted to subtly steer conversations to extract more user information, providing more fuel for advertising and higher earnings. This kind of nudging is not clearly illegal in the U.S. or the EU, even after the AI Act comes into effect. The market size of AI in India is projected to touch US$4.11bn in 2023. 

Taking this further, chatbots may be inclined to guide users towards purchasing specific products or even influencing significant life decisions, such as religious conversions or voting choices. The legal boundaries here remain unclear, especially when manipulation is not detectable by the user. 

The Crucial Dos/Dont's 

It is crucial to set rules and safeguards in order to manage the possible threats related to manipulative chatbots in the context of the general election in 2024.

First and foremost, candor and transparency are essential. Chatbots, particularly when employed for political or electoral matters, ought to make it clear to users what they are for and why they are automated. By being transparent, people are guaranteed to be aware that they are interacting with automated processes.

Second, getting user consent is crucial. Before collecting user data for any reason, including advertising or political profiling, users should be asked for their informed consent. Giving consumers easy ways to opt-in and opt-out gives them control over their data.

Furthermore, moral use is essential. It's crucial to create an ethics code for chatbot interactions that forbids manipulation, disseminating false information, and trying to sway users' political opinions. This guarantees that chatbots follow moral guidelines.

In order to preserve transparency and accountability, independent audits need to be carried out. Users might feel more confident knowing that chatbot behavior and data collecting procedures are regularly audited by impartial third parties to ensure compliance with legal and ethical norms.

Important "don'ts" to take into account. Coercion and manipulation ought to be outlawed completely. Chatbots should refrain from using misleading or manipulative approaches to sway users' political opinions or religious convictions.

Another hazard to watch out for is unlawful data collecting. Businesses must obtain consumers' express agreement before collecting personal information, and they must not sell or share this information for political reasons.

At all costs, one should steer clear of fake identities. Impersonating people or political figures is not something chatbots should do because it can result in manipulation and false information.

It is essential to be impartial. Bots shouldn't advocate for or take part in political activities that give preference to one political party over another. In encounters, impartiality and equity are crucial.

Finally, one should refrain from using invasive advertising techniques. Chatbots should ensure that advertising tactics comply with legal norms by refraining from displaying political advertisements or messaging without explicit user agreement.

Present Scenario

As we approach the critical 2024 elections and generative AI tools proliferate faster than regulatory measures can keep pace, companies must take an active role in building user trust, transparency, and accountability. This includes comprehensive disclosure about a chatbot's programmed business goals in conversations, ensuring users are fully aware of the chatbot's intended purposes.

To address the regulatory gap, stronger laws are needed. Both the EU AI Act and analogous laws across jurisdictions should be expanded to address the potential for manipulation in various forms. This effort should be driven by public demand, as the interests of lawmakers have been influenced by intensive Big Tech lobbying campaigns.

At present, India doesn’t have any specific laws pertaining to AI regulation. Ministry of Electronics and Information Technology (MEITY), is the executive body responsible for AI strategies and is constantly working towards a policy framework for AI. The Niti Ayog has presented seven principles for responsible AI which includes equality , inclusivity, safety, privacy, transparency, accountability, dependability and protection of positive human values.

Conclusion 

We are at a pivotal juncture in history. As generative AI gains more power, we must proactively establish effective strategies to protect our privacy, rights and democracy. The public's waning confidence in Big Tech and the lessons learned from the techlash underscore the need for stronger regulations that hold tech companies accountable. Let's ensure that the power of generative AI is harnessed for the betterment of society and not exploited for manipulation.

Reference

McCallum, B. S. (2022, December 23). Meta settles Cambridge Analytica scandal case for $725m. BBC News. https://www.bbc.com/news/technology-64075067

Hungary: Data misused for political campaigns. (2022, December 1). Human Rights Watch. https://www.hrw.org/news/2022/12/01/hungary-data-misused-political-campaigns

Statista. (n.d.). Artificial Intelligence - India | Statista Market forecast. https://www.statista.com/outlook/tmo/artificial-intelligence/india

Introduction

In this age, when our data stands as the key to all resources, espionage has moved from dark alleys and trench coats to keyboards and code. In this era of active digital espionage, where intelligence is stolen through invisible cyberattacks that target computer networks. Cyber espionage and spying have become the most critical threat in the hyper-connected world of today. As governments, corporations, and individuals store an immense amount of confidential information online, the grounds of espionage have shifted from land and sea to the silent realm of cyberspace. 

What is Cyber Espionage? 

Cyber espionage refers to the unauthorised access of confidential data for strategic, political, military, and financial gain, unlike cybercrime, which is mostly about money. Cyber espionage is about gaining information power. The very first documented case dates back to 1986-87, when a group of German hackers breached the US military establishment and the defence systems and sold that stolen data to the Soviets and the KGB. This was the beginning of a new era where classified intelligence could be gathered even without entering a building. 

Cyber espionage is mostly carried out by trained espionage professionals, elite hackers, and corporate spies whose sole purpose is to target the government, research organisations, military establishments, and other critical infrastructures.   

The Objective

The act of Cyber Espionage is being driven by three major objectives, such as;

• Stealing of Intellectual Property- Starting from information and data related to military establishments to pharmaceutical patents, stealing innovation is cheaper than funding R&D. 
• Political and Diplomatic Advantage- As government networks are hacked to access state secrets, negotiation strategies, and classified communications.
• Military Intelligence- Cyber spies also work to steal data on weapons troop movements, defence systems, and war systems, often years before conflict breaks out. 

In a world being shaped by digital power, information is not just about knowledge. Rather, it is all about ensuring dominance. 

The arsenal of modern digital spies is more sophisticated, and most importantly, they are used covertly rather than the spy gadgets that are shown in spy movies. Some of the tactics resorted to by the cyber spies can be recognised as; 

• Phishing Attacks through fake emails that lure victims to click on malicious links or sharing of passwords. 
• Persisting Advanced Threats through long-term stealth attacks in a network for more than a month or a year. 
• Malware and Spyware are invisible software that logs keystrokes, records screens, or steals files silently. 
• Deepfake Manipulations by creating AI-generated fake videos that can influence political developments in the country. 

Anything that makes cyber espionage terrifying is not just the theft, but the fact that it goes undetected. 

What Differentiates Cyber Espionage and Cyber Warfare

Cyber espionage is a silent and stealthy tactic that is carried out with utmost secrecy, being a long-term effort for intelligence gathering. It mostly focuses on the stealing of data, whereas Cyber warfare is an open and destructive tactic that is used to create an immediate and visible impact to create disruption. However, espionage is an act that prepares the battlefield for the warfare of the future. 

Taking instances of real instances of cyber espionage, we can refer to examples such as; 

• Operation Aurora was conducted in 2010, where Chinese Hackers based in Beijing tried to steal IP data from Google and American tech giants. 
• The Stuxnet attack in 2010 was another cyber weapon that was developed to sabotage Iran’s nuclear centrifuges. 
•  SolarWinds Attack of 2020 was an instance of cyber espionage where a supply chain hack was carried out to target multiple US federal government agencies. 

As most of these instances reflect that they were battles without guns, but with the use of codes. Several sources raise the question of whether cyber-attacks can be stopped. The answer lies in the fact that they cannot be stopped completely, but can be minimised to some extent, by developing capabilities to counter and deter cyber-attacks with the help of equal cyber defence capabilities. 

Conclusion 

From the Cold War era to the present Code War, espionage has evolved with technology. An effort that was once taken solely by spies and human assets, with the passing of time enhancement of technologies it is now expanded to malware, phishing, social engineering, and remote digital inflation. In this age of information warfare, espionage is faster, cheaper, and harder to trace than ever before. The enemies of a nation may never cross its borders, but they may already be inside its systems. However, the world has now officially entered a new battlefield, without boundaries, uniforms, and bombs. It is now being fought through bytes, breaches, and invisible enemies.  

References

• https://www.sentinelone.com/cybersecurity-101/threat-intelligence/cyber-espionage/
• https://www.espiamos.com/en/content/espionage-in-the-digital-world-threats-and-opportunities.html
• https://www.apu.apus.edu/area-of-study/information-technology/resources/what-is-cyber-warfare/
• https://pride-security.co.uk/the-rise-of-digital-warfare-understanding-the-evolution-of-cyber-espionage/

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