#FactCheck - Viral Image of AIMIM President Asaduddin Owaisi Holding Lord Rama Portrait Proven Fake

Introduction

A new dawn in the realm of cyber security and criminal justice is on the horizon. Maharashtra's Deputy Chief Minister, Devendra Fadnavis, has recently announced the advent of the country's most sophisticated cyber lab—a bastion against the dark arts of cybercrime. This announcement, made with the gravitas befitting a statesman, was not merely a bureaucratic note; it was a clarion call to a future where technology and law converge to create a safer society.

The cyber lab, poised to be the largest and most modern of its kind, is not just a facility—it is a symbol of the state's commitment to harnessing the power of technology in the ceaseless battle against crime. Fadnavis, who also holds the state's home portfolio, underscored the significance of this initiative during a function where he also emphasised the need for the Maharashtra police to brace themselves for the enforcement of three transformative criminal laws set to take effect from the first of July 2024.

In compliance with the New Laws

These laws—the Bharatiya Nyaya Sanhita, the Bharatiya Nagarik Suraksha Sanhita, and the Bharat Sakshya Act—They are not mere statutory texts; they are the architects of a new edifice of criminal justice, designed with the mortar of modern electronic and technical evidence to buttress the conviction rates and fortify the legal system.

At the inauguration of the Evidence Management Centre (EMC) and the Evidence Dispatch Van (EDV) in Navi Mumbai, Fadnavis spoke with an air of prescience about the radical shifts these new acts will engender. The EMC, a paragon of innovation with its no-human-intervention ethos, is set to revolutionise the procedure of handling evidence, thereby amplifying the likelihood of securing convictions in an era increasingly marred by cyber frauds and hacking escapades.

Recent Trend

The Deputy Chief Minister's vision extends beyond the present, into a realm where blockchain technology becomes an ally of law enforcement, rendering evidence tampering an obsolete concern. Under the new legislative framework, expert collection of evidence is mandated for crimes with sentences exceeding seven years, a move that underscores the gravity with which digital and electronic evidence is now regarded.

The Cyber Lab

The Navi Mumbai police Commissionerate stands as the vanguard of this new legal era, being the first in the country to align with the upcoming laws. As digital transactions burgeon, so too does the evil of cybercrime. Fadnavis assures us that the cyberlaw, a veritable nexus of modernity, will bring together banks, non-banking financial companies (NBFCs), and social media platforms on a unified platform to detect and thwart crimes with alacrity.

This announcement was made in the presence of Maharashtra's Director General of Police, Rashmi Shukla, and Navi Mumbai's police commissioner, Milind Bharambe, both of whom are key figures in the conception of this project. Their attendance shows the collective resolve of Maharashtra's law enforcement to elevate its capabilities in cybercrime prevention.

Conclusion

The establishment of this cyber lab is a vivid thread woven with the intent to protect the digital integrity of its citizens. It is a testament to the state's foresight and its unwavering commitment to staying abreast of the evolving landscape of crime and technology. As we stand on the cusp of this new era, we are reminded that the fight against crime is perennial, but with such pioneering initiatives, victory is not just a possibility—it is an inevitability.

References

• https://indianexpress.com/article/cities/mumbai/navi-mumbai-cyber-lab-criminal-laws-fadnavis-9206801/
• https://www.the420.in/why-maharashtras-new-cyber-lab-could-be-a-game-changer-for-national-security/
• https://apacnewsnetwork.com/2024/03/navi-mumbai-to-host-indias-most-advanced-crime-busting-lab-boosting-conviction-rates-maharashtra-deputy-cm-fadnavis-announces/

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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

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/ 

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