#FactCheck: No, PM Modi Did Not Appear in Royal Attire,Image Is AI-Generated

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

The most significant change seen in the Indian cyber laws this year was the passing of the Digital Personal Data Protection Act, 2023, in the parliament. DPDP Act is the first concrete form of legislation focusing on the protection of Digital Personal Data of Indian netizens in all aspects; the act is analogous to what GDPR is for Europe. The act lays down heavy compliance mandates for the intermediaries and data fiduciaries, this has made it difficult for the tech companies a lot of policy, legal and technical changes have to be made in order to implement the act to its complete efficiency. Recently, the big techs have addressed a letter to the Minister and Minister of State of Meity to extend the implementation timeline of the act. In other news, the union cabinet has given the green light for the much-awaited MoC with Japan focused on establishing a long-term Semiconductor Supply Chain Partnership. 

Letter to Meity

The lobby of the big techs represented by a Trade Body named the Big Tech Asia Internet Coalition (AIC) this week wrote to the Ministry of Electronics and Information Technology (Meity), addressing it to the Minister Ashwini Vaishnav and Minister of State (MoS) Rajeev Chandershekhra recommending a 12-18 month extension on the implementation of the Digital Personal Data Protection Act. This request comes at a time when the government has been voicing its urgency to implement the act in order to safeguard Indian data at the earliest. The trade body represented big names, including Meta, Google, Microsoft, Apple and many more. These big techs essentially comprise the segment recognised under the DPDP as the Significant Data Fiduciaries due to the sheer volume of data processed, hosted, stored, etc. In the protective sense, the act has been designed to focus on preventing the exploitation of personal data of Indian netizens by the big techs, hence, they form an integral part of the Indian Data Ecosystem.  The following reasons/complications concerning the implementation of the act were highlighted in the letter:

• Unrealistic Timelines: The AIC expressed that the current timeline for the implementation of the act seems unrealistic for the big techs to establish technological, policy and legal mechanisms to be in compliance with section 5 of the act, which talks about the Obligations of a Data Fiduciary and the particular notice to be shared with the data principles in accordance with the act. 
• Technical Requirements: Members of AIC expressed that the duration for the implementation of the act is much less in comparison to the time required by the tech companies to set up/deploy relevant technical critical infrastructure, SoPs and capacity building for the same. This will cause a major hindrance in establishing the efficiency of the act.
• Data Rights:  Right to Erasure, Correction, Deletion, Nominate, etc., are guaranteed under the DPDP, but the big techs are not sure about the efficient implementation of these rights and hence will need fundamental changes in the technology architecture of their platform, thus expressing concern of the early implementation of the act. 
• Equivalency to GDPR: The DPDP is taken to be congruent to the European GDPR, but the DPDP focuses on a few more aspects, such as cross-border data flow and compliance mandates for the right to erasure, hence a lot of GDPR-compliant big techs also need to establish more robust mechanisms to maintain compliance to Indian DPDP.     

Indo-Japan MoC

A Memorandum of Cooperation (MoC) on the Japan-India Semiconductor Supply Chain Partnership was signed in July 2023 between the Ministry of Electronics and Information Technology (MeitY) of India and the Ministry of Economy, Trade and Industry (METI) of Japan. This information was shared with the Union Cabinet, which is led by Prime Minister Narendra Modi. The Ministry of Commerce (MoC) aims to expand collaboration between Japan and India in order to improve the semiconductor supply chain. This is because semiconductors are critical to the development of industries and digital technologies. The Parties agree that the MoC will take effect on the date of signature and be in effect for five years. Bilateral cooperation on business-to-business and G2G levels on ways to develop a robust semiconductor supply chain and make use of complementary skills. The cooperation is aimed at harnessing indigenous talent and creating opportunities for higher employment avenues. 

MeitY's purpose also includes promoting international cooperation within bilateral and regional frameworks in the frontier and emerging fields of information technology. MeitY has engaged in Memorandums of Understanding (MoUs), Memorandums of Covenants (MoCs), and Agreements with counterpart organisations/agencies of other nations with the aim of fostering bilateral collaboration and information sharing. Additionally, MeitY aims to establish supply chain resilience, which would enable India to become a reliable partner. An additional step towards mutually advantageous semiconductor-related commercial prospects and collaborations between India & Japan is the strengthening of mutual collaboration between Japanese and Indian enterprises through this Memorandum of Understanding. The “India-Japan Digital Partnership” (IJDP), which was introduced during PM Modi's October 2018 visit to Japan, was created in light of the two countries' complementary and synergistic efforts. Its goal is to advance both current areas of cooperation and new initiatives within the scope of S&T/ICT cooperation, with a particular emphasis on “Digital ICT Technologies."

Conclusion 

As we move ahead into the digital age, it is pertinent to be aware and educated about the latest technological advancements, new forms of cybercrimes and threats and legal aspects of digital rights and responsibilities, whether it is the recommendation to extend the implementation of DPDP or the Indo-Japan MoC, both of these instances impact the Indian netizen and his/her interests. Hence, the indigenous netizen needs to develop a keen interest in the protection of the Indian cyber-ecosystem to create a safer future. In our war against technology, our best weapon is technology and awareness, thus implementing the same in our daily digital lifestyles and routines is a must.  

References

• https://www.eetindia.co.in/cabinet-approves-moc-on-japan-india-semiconductor-supply-chain-partnership/
• https://www.moneycontrol.com/news/business/startup/trade-body-representing-big-tech-urges-govt-to-extend-dpdp-act-implementation-by-1-5-years-11605431.html
• https://www.google.com/url?rct=j&sa=t&url=https://www.eetindia.co.in/cabinet-approves-moc-on-japan-india-semiconductor-supply-chain-partnership/&ct=ga&cd=CAEYACoTOTI3Mzg4NzEyODgwMjI2ODk0MDIaOTBiYzUxNmI5YTRjYTE1NTpjb206ZW46VVM&usg=AOvVaw2lEO7-cIBZ_ox1xV39LGLs

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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.