#FactCheck: Old Thundercloud Video from Lviv city in Ukraine Ukraine (2021) Falsely Linked to Delhi NCR, Gurugram and Haryana

Introduction

The Indian healthcare sector has been transforming remarkably. This is mainly due to the development of emerging technologies such as AI and IoT. The rapid adoption of technology in healthcare delivery such as AI and IoT integration along with telemedicine, digital health solutions, and Electronic Medical Records (EMR) have enhanced the efficacy of hospitals, driving growth. The integration of AI and IoT devices in healthcare can improve patient care, health record management, and telemedicine and reshape the medical landscape as we know it. However, their implementation must be safe, with robust security and ethical safeguards in place.

The Transformative Power of AI and IoT in Revolutionising Healthcare

IoT devices for healthcare such as smartwatches, wearable patches, and ingestive sensors are equipped with sensors. These devices take physiological parameters in real-time, including heart rate, blood pressure, glucose level, etc. This can be forwarded automatically from these wearables to healthcare providers and EHR systems. Real-time patient health data enable doctors to monitor progress and intervene when needed. 

The sheer volume of data generated by IoT healthcare devices opens avenues for applying AI. AI and ML algorithms can analyse patient data for patterns that further provide diagnostic clues and predict adverse events before they occur. A combination of AI and IoT opens avenues for proactive and personalised medicine tailored to specific patient profiles. This amalgamation can be a bridge between healthcare accessibility and quality. And, especially in rural and underserved areas, it can help receive timely and effective medical consultations, significantly improving healthcare outcomes. Moreover, the integration of AI-powered chatbots and virtual health assistants is enhancing patient engagement by providing instant medical advice and appointment scheduling. 

CyberPeace Takeaway, the Challenges and the Way Forward 

Some of the main challenges associated with integrating AI and IoT in healthcare include cybersecurity due to data privacy concerns, lack of interoperability, and skill gaps in implementation. Addressing these requires enhanced measures or specific policies, such as:

• Promoting collaborations among governments, regulators, industry, and academia to foster a healthcare innovation ecosystem such as public-private partnerships and funding opportunities to drive collaborative advancements in the sector. Additionally, engaging in capacity-building programs to upskill professionals.
• Infrastructural development, including startup support for scalable AI and IoT solutions. Engaging in creating healthcare-specific cybersecurity enhancements to protect sensitive data. According to a 2024 report by Check Point Software Technologies, the Indian healthcare sector has experienced an average of 6,935 cyberattacks per week, compared to 1,821 attacks per organisation globally in 2024. 

Conclusion 

The Deloitte survey highlights that on average hospitals spend 8–10% of their IT budget on cybersecurity techniques, such as hiring professionals and acquiring tools to minimise cyber-attacks to the maximum extent. Additionally, this spending is likely to increase to 12-15 % in the next two years moving towards proactive measures for cybersecurity. 

The policy frameworks and initiatives are also carried out by the government. One of the Indian government's ways of driving innovation in AI and IoT in healthcare is through initiatives under the National Digital Health Mission (NDHM), the National Health Policy and the Digital India Initiative.

Though the challenges presented by data privacy and cyber security persist, the strong policies, public-private collaborations, capacity-building initiatives and the evolving startup ecosystem carry AI and IoT’s potential forward from the thoughtful merging of innovative health technologies, delivery models, and analytics. If the integration complexities are creatively tackled, these could profoundly improve patient outcomes while bending the healthcare cost curve. 

References

• https://www.ndtv.com/business-news/indian-healthcare-sector-faced-6-935-cyberattacks-per-week-in-last-6-months-report-5989240 
• https://www.businesstoday.in/technology/news/story/meity-nasscom-coe-collaborates-with-start-ups-to-enhance-healthcare-with-ai-iot-458739-2024-12-27 
• https://www2.deloitte.com/content/dam/Deloitte/in/Documents/risk/in-ra-deloitte-dsci-hospital-report-noexp.pdf ‍
• https://medium.com/@shibilahammad/the-transformative-potential-of-iot-and-ai-in-healthcare-78a8c7b4eca1

Introduction

In an era expounded by rapid communications and live coverage of global affairs, users often encounter misinformation continuously, and it has emerged as a huge challenge. Misinformation is false or inaccurate information, believed to be true, and shared without any intention to deceive. On the other hand, disinformation refers to false information that is intended to mislead, especially with set propaganda. It steadily affects all aspects of life and can even lead to a profound impact on geopolitics, international relations, wars, etc. When modern media announces “breaking news,” it captures attention and keeps viewers engaged. In the rush for television rating points, information may be circulated without proper fact-checking. This urgency can result in the spread of unverified claims and the elevation of irrelevant details, while truly important issues are overlooked. Such practices can distort public understanding and impact strategic political decisions.

Misinformation and Fake News in Recent History

The phenomenon of misinformation is not limited to isolated incidents but has become a recurring feature of political events around the globe. This business has increasingly become visible in recent political history, where it has not only sensationalised the general public but also affected international relations and democratic outcomes. For example, during Slovakia’s elections in 2023, the country experienced a major surge of online misinformation. Over 365,000 misleading posts were posted on social media platforms, majorly influencing public opinion and leading to challenges for voters. A lot of this content was amplified by political leaders. The media's rush to deliver content sometimes makes it easier for false narratives to dominate the public sphere, shaping voter opinions and undermining informed political discourse.

Current Geopolitical Interference by Misinformation

In the recent Hamas-Israel conflict, manipulated images and unverified reports complicated diplomacy. Such campaigns distort facts, complicate humanitarian responses, and escalate conflicts. This growing trend shows how misinformation now acts as a weapon of war, exploiting media urgency and undermining international stability.

Indo–Pak Conflict Exaggeration

The India-Pakistan conflict is a long-dragged and complex issue in South Asia. It has been continuously dragged from traditional to contemporary media. But in recent tensions and war situations media raised serious concerns about misinformation. Live media coverage can sometimes mislead the public with speculative information. The live coverage continuously addressed it as breaking news and escalated excitement and fear, distorting the reality on the ground. Moreover, the real-time reporting of sensitive military activities like mock drills, blackouts, troop movements, air strikes, etc., interfered with strategic operations. Such reporting may lead to obstructing decision-making processes and placing operational missions at risk. Later Defence Ministry called it out in one of their X posts. Such media-driven exaggeration causes mass hysteria, and eventually, emotional and patriotic sentiments are evoked. 

Legal and Political Recommendations 

The intersection of media urgency and national security may have serious geopolitical repercussions if not managed with legal and ethical restrictions. International Frameworks like UNESCO‘s Guidelines for regulating Digital Platforms, 2023, and the Digital Services Act, 2022, regulate and govern digital platforms.

Despite the existence of international and national guidelines, there remains an urgent need to strengthen cyber laws by imposing strict penalties and compensation mechanisms for the dissemination of unverified information. Media outlets must also refrain from indiscriminately labelling every report as “breaking news.” Since the modern media deals in digital data, the protection of strategic state movements should be regulated with checks and balances. 

Ethical considerations should be maintained during the publication or streaming of any information. Media should have self-regulations to fact-check and publish only authorised and double-verified information. 

Given the borderless nature of the internet and the rapid, global spread of misinformation, international cooperation is imperative. Addressing the challenges posed by cross-border mis/disinformation requires a shared understanding and coordinated response among states at the global level.

References

• https://pam.int/wp-content/uploads/2024/10/EN-Background-paper-on-disinformation-and-fake-news-Jan-2024.pdf
• https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3172349
• https://www.unesco.org/sites/default/files/medias/fichiers/2023/04/draft2_guidelines_for_regulating_digital_platforms_en.pdf
• https://commission.europa.eu/strategy-and-policy/priorities-2019-2024/europe-fit-digital-age/digital-services-act_en

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As technological advancements continue to shape the future, the rise of artificial intelligence brings with it significant potential benefits, yet also raises concerns about the spread of misinformation. Recognising the need for accountability on both ends, on 5th May, during the three-day World News Media Congress 2025 in Kraków, Poland the European Broadcasting Union (EBU) and the World Association of News Publishers (WAN-IFRA) have announced to the public the five core principles for their joint initiative called News Integrity in the Age of AI. The initiative is aimed at fostering dialogue and cooperation between media organisations and technology platforms, and the principles announced are to be a code of practice to be followed by all those taking part. With thousands of public and private media outlets around the world joining the effort, the initiative highlights the shared responsibility of AI developers to ensure that AI systems are trustworthy, safe, and supportive of a reliable news ecosystem. It represents a global call to action to uphold the integrity of news in this age of major influx and curb the growing challenge of misinformation.

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The five core principles released focus on:

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1. Authorisation of content by the originators is a must prior to its usage in Generative AI tools and models

2. High-quality and up-to-date news content must be recognised by third parties that are benefiting from it

3. There must be a focus on accuracy and attribution, making the original sources of news  apparent to the public, promoting transparency

4. Harnessing the plural nature of the news perspectives, which will help AI-driven tools perform better and

5. An invitation to tech companies for an open dialogue with news outlets, facilitating conversation to collaborate and develop standards of transparency, accuracy, and safety.

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As this initiative provides a unified platform to address and deliberate on issues affecting the integrity of news, there are also some other technical ways in which misinformation in news caused by AI can be curbed:

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1. Encourage the usage of Smaller Generative AI Models: The Large Language Models (LLMs) have to be trained on a range of topics. Businesses don’t require such an expanse of information but just a little that is relevant. A narrower context of information to be sourced from allows better content navigation and a reduced chance of mix-up.

2. Fighting AI hallucination: This is a phenomenon that causes generative AI (such as chatbots and computer vision tools) to present nonsensical and inaccurate outputs as the system perceives objects or patterns that are imperceptible or non-existent to human observers. This occurs as a result of the system trying to focus on both language fluency and stitching information from different sources together. In order to deal with this, one can deploy retrieval augmented generation (RAG). This enables connection with external sources of data that include academic journals, a company’s organisational data, among other things, that would help in providing more accurate, domain-specific content.  

Conclusion

This global call to action marks an important step toward fostering unified efforts to combat misinformation. The set of principles introduced is designed to be adaptable, providing a flexible framework that can evolve to address emerging challenges (through dialogue and discussion), including issues like copyright infringement. While AI offers powerful tools to support the news industry, it is essential to emphasise that human oversight remains crucial. These technological advancements are meant to enhance and augment the work of journalists, not replace it, ensuring that the core values of journalism, such as accuracy and integrity, are preserved in the age of AI.

References

● https://www.techtarget.com/searchenterpriseai/tip/Generative-AI-ethics-8-biggest-concerns

● https://trilateralresearch.com/responsible-ai/using-responsible-ai-to-combat-misinformation

● https://www.omdena.com/blog/the-ethical-role-of-ai-in-media-combating-misformation

● https://2024.jou.ufl.edu/page/ai-and-misinformation

● https://www.thehindu.com/sci-tech/technology/ai-developers-should-counter-misinformation-protect-fact-based-news-global-media-groups/article69547636.ece

● https://techxplore.com/news/2025-05-ai-counter-misinformation-fact-based.html

● https://www.advanced-television.com/2025/05/06/media-outlets-call-for-ai-companies-news-integrity-protection/https://www.ibm.com/think/insights/ai-misinformation

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