#FactCheck - Afghan Cricket Team's Chant Misrepresented in Viral Video

Introduction

Artificial intelligence is often hailed as a democratiser of knowledge, opportunity and skill. It is set to improve diagnostics, personalised learning, and productivity to boost the economy, which can assist millions of people to leave poverty. However, this may be an incomplete picture. A report of the United Nations Development Programme in 2025 tells a more complex tale. The Next Great Divergence: Why AI May Widen Inequality Between Countries cautions that, unless acts are taken to intervene, AI will not alleviate inequality between countries but will instead concentrate benefits in already advantaged economies and increase risks in more vulnerable ones.

Two Gaps, One Crisis

AI is not going to create a level playing field: it has been injected into a world where there is unprecedented inequality. The report outlines two structural asymmetries that will influence the ways in which its effects manifest: a capability gap and a vulnerability gap. 

Those countries that have high connectivity, skills, compute and regulation will be in a position to reap a greater portion of the AI dividend. Others will be exposed to greater risks of job losses, information exclusion, misinformation, and the indirect consequences of increased energy and water demands. 

The centre of this transition is the Asia-Pacific region, that harbors a population of more than 55 per cent of the world. More than half of the global AI users are now located in the region, but the initial positions are quite different. Nations such as Singapore and South Korea are already spending a lot of money on AI infrastructure, with others still striving to offer basic broadband services. Two out of three individuals already use AI tools in certain high-income economies. In most countries with low incomes, the utilisation is lower. Such figures are important as they depict not only a gap in technology but also a structural difference in terms of who controls AI and who is controlled by the latter.

When Inequality Becomes a Trust Problem

Any trusted technological system is based on three tenets: transparency, fairness and accountability. AI inequality negatively impacts all three.

If governments implement imported AI systems in areas with limited technical capability, with limited transparency on their operation, their construction, and their biases. Citizens do not really trust when decision-making systems are black boxes and domestic institutions lack the know-how to question them.

Data exclusion also interferes with fairness. The AI systems trained with the datasets not sufficiently representative of the rural population, linguistic minorities, and women will generate poorer results in those groups systematically. Since South Asian women are much less likely to own a smartphone,  this impacts their representation in digital data, and consequently in any AI system trained on such data. 

Safety Risks Are Not Evenly Distributed

The lack of trust has a direct safety aspect. For example, those countries that have less robust information ecosystems have a greater exposure to AI-generated misinformation that can bias the discourse of the populace, alter elections, and cause violence. They also have the weakest capability of screening, tagging, or combating such content.

The same can be said about labour markets. The very same technologies that can speed up marginalisation and destabilise governance increase human insecurity, especially among employees in the informal economy with weak social security. The UNDP report points out that the exposure of female employment to disruption by AI is disproportionate to that of male employment, which further presents a gendered dimension in an already unequal situation.

Risks of infrastructure are skewed as well. Large AI systems may create disproportionately high energy and water demands on countries that host the data infrastructure without there being an equivalent economic payback. The environmental cost is local while profits are outsourced. Dangers of AI spread downwards, and the advantages go upwards.

The Governance Gap and Regulatory Arbitrage

Governance is perhaps the most important aspect. There are only a few states that presently have extensive AI regulation systems. This gives rise to a patchy landscape, in which safety standards differ dramatically and where companies have an incentive to install systems in jurisdictions that have weaker regulation.

The main reason is the lack of capability, as expressed by Philip Schellekens, chief economist of the UNDP in Asia and the Pacific, who says that those countries that invest in skills, computing power and well-run governance structures will gain. The rest will be left far behind. 

This departure has its ramifications outside the nations. When users in other areas are subjected to widely different rates of safety and equity by the same international platforms, the concept of uniform digital norms would no longer be sustainable. Confidence in AI systems is lost not only locally but also on a global scale.

Way Forward

The UNDP report makes it clear that there is no inevitability of divergence. To avert it, however, it is necessary to consider AI governance as a development, rather than a technology problem.

The capacity to govern should be constructed and not presumed. This implies assisting countries in establishing regulatory systems, institutional capacity, and facilitating cross-border collaboration on standards. It can also imply considering some AI features as a public good, with common models and open standards that do not allow a few firms or states to become too powerful.

The UNDP articulates the problem in a simple manner: in the end, the world's people and not machines must decide on what technologies should be given priority and how to utilise them optimally.

Conclusion

AI inequality is often framed as an economic divergence story. But its implications run deeper. It reshapes who is protected, who is visible in data, and who has the power to challenge harmful outcomes. The risk is not just that some countries fall behind economically. It is that the global digital ecosystem fragments into zones of high trust and low trust, high protection and low protection. The choices made now will determine which path prevails. AI can reinforce existing divides or help bridge them. 

But that outcome will not be decided by the technology itself. It will be decided by how societies choose to distribute access, power, and responsibility in the systems they build.

References

1. https://www.undp.org/sites/g/files/zskgke326/files/2025-12/undp-rbap-the-next-great-divergence_1.pdf
2. https://www.undp.org/asia-pacific/press-releases/ai-risks-sparking-new-era-divergence-development-gaps-between-countries-widen-undp-report-finds
3. https://www.undp.org/asia-pacific/blog/next-great-divergence-how-ai-could-split-world-again-if-we-dont-intervene
4. https://www.aljazeera.com/news/2025/12/2/ai-threatens-to-widen-inequality-among-states-un
5. https://www.undp.org/asia-pacific/next-great-divergence
6. https://www.eco-business.com/press-releases/ai-risks-spark-new-era-of-divergence-as-development-gaps-widen-undp-report/

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Introduction

In the dynamic intersection of pop culture and technology, an unexpected drama unfolded in the virtual world, where the iconic Taylor Swift account has been temporarily blocked on X . The incident sent a shockwave through the online community, sparking debates and speculation about the misuse of deepfake technology.

Taylor Swift's searches on social media platform X have been restored after a temporary blockage was lifted following outrage over her explicit AI images. The social media site, formerly known as Twitter, temporarily restricted searches for Taylor Swift as a temporary measure to address a flood of AI-generated deepfake images that went viral across X and other platforms. 

X has mentioned it is actively removing the images and taking appropriate actions against the accounts responsible for spreading them. While Swift has not spoken publicly about the fake images, a report stated that her team is "considering legal action" against the site which published the AI-generated images.

The Social Media Frenzy

As news of temporary blockages spread like wildfire across social media platforms, users engaged in a frenzy of reactions. The fake picture was re-shared 24,000 times, with tens of thousands of users liking the post. This engagement supercharged the deepfake image of Taylor Swift, and by the time the moderators woke up, it was too late. Hundreds of accounts began reposting it, which started an online trend. Taylor Swift's AI video reached an even larger audience. The source of the photograph wasn't even known to begin with. The revelations are causing outrage. American lawmakers from across party lines have spoken. One of them said they were astounded, while another said they were shocked. 

AI Deepfake Controversy

The deepfake controversy is not new. There are lot of cases such as Rashmika Mandana, Sachin Tendulkar, and now Taylor Swift have been the victims of such misuse of Deepfake technology. The world is facing a concern about the misuse of AI or deepfake technology. With no proactive measures in place, this threat will only worsen affecting privacy concerns for individuals. This incident has opened a debate among users and industry experts on the ethical use of AI in the digital age and its privacy concerns.

Why has the Incident raised privacy concerns?

The emergence of Taylor Swift's deepfake has raised privacy concerns for several reasons.

1. Misuse of Personal Imagery:  Deepfake uses AI and its algorithms to superimpose one person’s face onto another person’s body, the algorithms are processed again and again till the desired results are obtained. In the case of celebrities or higher-position people, it's very easy for crooks to get images and generate a deepfake.  In the case of Taylor Swift, her images are misused. The misuse of Images can have serious consequences for an individual's reputation and privacy.

2. False narrative and Manipulation:  Deepfake opens the door for public reaction and spreads false narratives, causing harm to reputation, and affecting personal and professional life. Such false narratives through deepfakes may influence public opinion and damage reputation making it challenging for the person to control it. 

3. Invasion of Privacy: Creating a deepfake involves gathering a significant amount of information about their targets without their consent. The use of such personal information for the creation of AI-generated content without permission raises serious privacy concerns. 

4. Difficulty in differentiation: Advanced Deepfake technology makes it difficult for people to differentiate between genuine and manipulated content. 

5. Potential for Exploitation: Deepfake could be exploited for financial gain or malicious motives of the cyber crooks. These videos do harm the reputation, damage the brand name, and partnerships, and even hamper the integrity of the digital platform upon which the content is posted, they also raise questions about the platform’s policy or should we say against the zero-tolerance policy on posting the non-consensual nude images.

Is there any law that could safeguard Internet users?

Legislation concerning deepfakes differs by nation and often spans from demanding disclosure of deepfakes to forbidding harmful or destructive material. Speaking about various countries, the USA including its 10 states like California, Texas, and Illinois have passed criminal legislation prohibiting deepfake. Lawmakers are advocating for comparable federal statutes. A Democrat from New York has presented legislation requiring producers to digitally watermark deepfake content. The United States does not criminalise such deepfakes but does have state and federal laws addressing privacy, fraud, and harassment.

In 2019, China enacted legislation requiring the disclosure of deepfake usage in films and media. Sharing deepfake pornography became outlawed in the United Kingdom in 2023 as part of the Online Safety Act.

To avoid abuse, South Korea implemented legislation in 2020 criminalising the dissemination of deepfakes that endanger the public interest, carrying penalties of up to five years in jail or fines of up to 50 million won ($43,000).

In 2023, the Indian government issued an advisory to social media & internet companies to protect against deepfakes that violate India'sinformation technology laws. India is on its way to coming up with dedicated legislation to deal with this subject.

Looking at the present situation and considering the bigger picture, the world urgently needs strong legislation to combat the misuse of deepfake technology.

Lesson learned

The recent blockage of Taylor Swift's searches on Elon Musk's X has sparked debates on responsible technology use, privacy protection, and the symbiotic relationship between celebrities and the digital era. The incident highlights the importance of constant attention, ethical concerns, and the potential dangers of AI in the digital landscape. Despite challenges, the digital world offers opportunities for growth and learning.

Conclusion

Such deepfake incidents highlight privacy concerns and necessitate a combination of technological solutions, legal frameworks, and public awareness to safeguard privacy and dignity in the digital world as technology becomes more complex.

References:

• https://www.hindustantimes.com/world-news/us-news/taylor-swift-searches-restored-on-elon-musks-x-after-brief-blockage-over-ai-deepfakes-101706630104607.html
• https://readwrite.com/x-blocks-taylor-swift-searches-as-explicit-deepfakes-of-singer-go-viral/

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Introduction

MSMEs, being the cornerstone of the Indian economy, are one of the most vulnerable targets in cyberspace and no enterprise is too small to be a target for malicious actors. MSMEs hardly ever perform a cyber-risk assessment, but when they do, they may run into a number of internal problems, such as cyberattacks brought on by inadequate networking security, online fraud, ransomware assaults, etc.  Tackling cyber threats in MSMEs is critical mainly because of their high level of dependance on digital technologies and the growing sophistication of cyber attacks. Protecting them from cyber threats is essential, as a security breach can have devastating consequences, including financial loss, reputational damage, and operational disruptions.

Key Cyber Threats that MSMEs are facing

MSMEs are most vulnerable to are phishing attacks, ransomware, malware and viruses, insider threats, social engineering attacks, supply chain attacks, credential stuffing and brute force attacks and Distributed Denial of Service (DDoS) Attacks. Some of these attacks are described as under-

• Insider threats arise from employees or contractors who intentionally or unintentionally compromise security. It involves data theft, misuse of access privileges, or accidental data exposure. 
• Social engineering attacks involve manipulating individuals into divulging confidential information or performing actions that compromise security by pretexting, baiting, and impersonation. 
• Supply chain attacks exploit the trust in relationships between businesses and their suppliers and introduce malware, compromise data integrity, and disrupt operations.
• Credential stuffing and brute force attacks give unauthorized access to accounts and systems, leading to data breaches and financial losses.

Challenges Faced by MSMEs in Cybersecurity

The challenges faced  by MSMEs in cyber security are mainly due to limited resources and budget constraints which leads to other issues such as a lack of specialized expertise as MSMEs often lack the IT support of cyber security experts. Awareness and training are needed to mitigate poor understanding of cyber threats and their complexity in nature. Vulnerabilities in the supply chain are present as they rely on third-party vendors and partners often, introducing potential supply chain vulnerabilities. Regulatory compliance is often complex and is taken seriously only when an issue crops up but it needs special attention especially with the DPDP Act coming in. The lack of an incident response plan leads to delayed and inadequate responses to cyber incidents, increasing the impact of breaches.

Best Practices for Tackling Cyber Threats for MSMEs

To effectively tackle cyber threats, MSMEs should adopt a comprehensive approach such as:

• Implementing and enforcing strong access controls by using MFA or 2FA and password policies. Limiting employee access as role based and updating the same as and when needed.
• Regularly apply security patches and use automated patch management solutions to prevent exploitation of known vulnerabilities.
• Conduct employee training and awareness programs and promote a security-first approach for the employees and assessing employee readiness to identify improvement areas.
• Implement network security measures by using firewalls and intrusion detection systems. Using secure Wi-Fi networks via strong encryptions and changing default credentials for the router are recommended, as is segmenting networks to limit lateral movement within the network in case of a breach.
• Regular data backup ensures that in case of an attack, data loss can be recovered and made available in secure offsite locations to protect it from unauthorized access. 
• Developing an incident response plan that outlines the roles, responsibilities and procedure for responding to cyber incidents with regular drills to ensure readiness and clear communication protocols for incident reporting to regulators, stakeholders and customers.
• Implement endpoint security solutions using antivirus and anti-malware softwares. Devices should be against unauthorized access and implement mobile device management solutions enforcing security policies on employee-owned devices used for work purposes.
• Cyber insurance coverage will help in transferring financial risks in case of cyber incidents. It should have comprehensive coverage including business interruptions, data restoration, legal liabilities and incident response costs.

Recommended Cybersecurity Solutions Tailored for MSMEs

1. A Managed Security Service Provider offers outsourced cybersecurity services, including threat monitoring, incident response, and vulnerability management that may be lacking in-house.
2. Cloud-Based Security Solutions such as firewall as a service and Security Information and Event Management , provide scalable and cost-effective protection for MSMEs.
3. Endpoint Detection and Response (EDR) Tools detect and respond to threats on endpoints, providing real-time visibility into potential threats and automating incident response actions.
4. Security Awareness Training Platforms deliver interactive training sessions and simulations to educate employees about cybersecurity threats and best practices.

Conclusion

Addressing cyber threats in MSMEs requires a proactive and multi-layered approach that encompasses technical solutions, employee training, and strategic planning. By implementing best practices and leveraging cybersecurity solutions tailored to their specific needs, MSMEs can significantly enhance their resilience against cyber threats. As cyber threats continue to evolve, staying informed about the latest trends and adopting a culture of security awareness will be essential for MSMEs to protect their assets, reputation, and bottom line.

References:

• https://economictimes.indiatimes.com/small-biz/security-tech/security/cyber-security-pitfalls-and-how-negligence-can-be-expensive-for-msmes/articleshow/99508822.cms?from=mdr
• https://www.investopedia.com/financial-edge/0112/3-ways-cyber-crime-impacts-business.aspx 
• https://www.financialexpress.com/business/sme-msme-tech-cisco-launches-new-tool-for-smbs-to-assess-their-cybersecurity-readiness-2538348/ 
• https://www.cloverinfotech.com/blog/small-businesses-big-problems-are-cyber-attacks-crushing-indias-msmes/ 

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