#FactCheck - Viral Claim of Highway in J&K Proven Misleading

Introduction 

India envisions reaching its goal of becoming Viksit Bharat by 2047. With a net-zero emissions target by 2070, it has already reduced GDP emission intensity by 36% (from 2005 to 2020) and is working towards a 45% reduction goal by 2030. This will help the country achieve economic growth while minimizing environmental impact, ensuring sustainable development for the future. The 2025 Union Budget prioritises energy security, clean energy expansion, and green tech manufacturing. Furthermore, India’s promotion of sustainability policies in startups, MSMEs, and clean tech shows its commitment to COP28 and SDGs. India’s key policy developments for sustainability and energy efficiency include the Energy Conservation Act (2022), PAT scheme, S&L scheme, and the Energy Conservation Building Code, driving decarbonization, energy efficiency, and a sustainable future.

India’s Policy and Regulatory Landscape 

The Indian law of Energy Conservation (Amendment) Act which was enacted in 2022 aims at enhancing energy efficiency while ensuring economic growth. It works on the aim of reducing emission intensity by 2030. The Act tackles regulatory, financial, and awareness barriers to promote energy-saving technologies. Next, the Perform, Achieve, and Trade (PAT) Scheme improves cost-effective energy efficiency in energy-intensive industries through tradable energy-saving certificates. Adding on, the PLI Scheme boosts green manufacturing by attracting investments, both domestically and internationally. The Bureau of Energy Efficiency (BEE) enforces Minimum Energy Performance Standards (MEPS) and star ratings for appliances, guiding consumers toward energy-efficient choices. These initiatives collectively drive carbon reduction and sustainable energy use in India.

Growth of Energy-Efficient Technologies 

India has been making massive strides in its integration of renewable energy, such as solar and wind energies, mainly due to improvements in storage technologies. Another key development is the real-time optimization of energy usage through smart grids and AI-driven energy management. The EV and green mobility boom has been charged through by the rapid expansion of charging infrastructure and the policy interventions to support the shift. The building of green building codes and IoT-driven energy management has led to building efficiency, and finally, the efforts for industrial energy optimisation have been met through AI/ML-driven demand-side management in heavy industries. 

Market Trends, Investment, and Industry Adoption 

The World Energy Investment Report 2024 (IEA) projects global energy investment to surpass $3 trillion, with $2 trillion allocated to clean energy. India’s clean energy investment reached $68 billion in 2023, a 40%+ rise from 2016-2020, with nearly 50% directed toward low-emission power, including solar PV. Investment is set to double by 2030 but needs a 20% further rise to meet climate goals.

India’s ESG push is driven by Net Zero 2070, SEBI’s BRSR mandates, and UN SDGs, with rising scrutiny on corporate governance. ESG-aligned investments are expanding, reinforcing sustainability. Meanwhile, energy efficiency in manufacturing minimizes waste and environmental impact, while digital transformation in energy management boosts renewable integration, grid reliability, and cost efficiency, ensuring a sustainable energy transition.

The Way Forward 

There are multiple implementation bottlenecks present for the active policies which include infrastructure paucity, financing issues and even the on-ground implementational challenges of the active policies. To combat these issues India needs to adopt measures for promoting public-private partnerships to scale energy-efficient solutions. Incentives for industries to adopt green technologies should be strengthened (tax exemptions and subsidies for specific periods), with increased R&D support and regulatory sandboxes to encourage adoption. Finally, the role of industries, policymakers and consumers needs to be in tandem to accelerate the efforts made towards a sustainable and green future for India. Emerging technologies play an important in bridging gaps and aim towards the adoption of global best practices for India.

References

• https://instituteofsustainabilitystudies.com/insights/lexicon/green-technologies-innovations-opportunities-challenges/
• https://powermin.gov.in/sites/default/files/The_Energy_Conservation_Amendment_Act_2022_0.pdf‍
• https://www.ibef.org/blogs/esg-investing-in-india-navigating-environmental-social-and-governance-factors-for-sustainable-growth

Introduction

Deepfake technology, which combines the words "deep learning" and "fake," uses highly developed artificial intelligence—specifically, generative adversarial networks (GANs)—to produce computer-generated content that is remarkably lifelike, including audio and video recordings. Because it can provide credible false information, there are concerns about its misuse, including identity theft and the transmission of fake information. Cybercriminals leverage AI tools and technologies for malicious activities or for committing various cyber frauds. By such misuse of advanced technologies such as AI, deepfake, and voice clones. Such new cyber threats have emerged. 

India Topmost destination for deepfake attacks

According to Sumsub’s identity fraud report 2023, a well-known digital identity verification company with headquarters in the UK. India, Bangladesh, and Pakistan have become an important participants in the Asia-Pacific identity fraud scene with India’s fraud rate growing exponentially by 2.99% from 2022 to 2023. They are among the top ten nations most impacted by the use of deepfake technology. Deepfake technology is being used in a significant number of cybercrimes, according to the newly released Sumsub Identity Fraud Report for 2023, and this trend is expected to continue in the upcoming year. This highlights the need for increased cybersecurity awareness and safeguards as identity fraud poses an increasing concern in the area. 

How Deeepfake Works 

Deepfakes are a fascinating and worrisome phenomenon that have emerged in the modern digital landscape. These realistic-looking but wholly artificial videos have become quite popular in the last few months. Such realistic-looking, but wholly artificial, movies have been ingrained in the very fabric of our digital civilisation as we navigate its vast landscape. The consequences are enormous and the attraction is irresistible.  

Deep Learning Algorithms

Deepfakes examine large datasets, frequently pictures or videos of a target person, using deep learning techniques, especially Generative Adversarial Networks. By mimicking and learning from gestures, speech patterns, and facial expressions, these algorithms can extract valuable information from the data. By using sophisticated approaches, generative models create material that mixes seamlessly with the target context. Misuse of this technology, including the dissemination of false information, is a worry. Sophisticated detection techniques are becoming more and more necessary to separate real content from modified content as deepfake capabilities improve.

Generative Adversarial Networks

Deepfake technology is based on GANs, which use a dual-network design. Made up of a discriminator and a generator, they participate in an ongoing cycle of competition. The discriminator assesses how authentic the generated information is, whereas the generator aims to create fake material, such as realistic voice patterns or facial expressions. The process of creating and evaluating continuously leads to a persistent improvement in Deepfake's effectiveness over time. The whole deepfake production process gets better over time as the discriminator adjusts to become more perceptive and the generator adapts to produce more and more convincing content. 

 Effect on Community

The extensive use of Deepfake technology has serious ramifications for several industries. As technology develops, immediate action is required to appropriately manage its effects. And promoting ethical use of technologies. This includes strict laws and technological safeguards. Deepfakes are computer trickery that mimics prominent politicians' statements or videos. Thus, it's a serious issue since it has the potential to spread instability and make it difficult for the public to understand the true nature of politics. Deepfake technology has the potential to generate totally new characters or bring stars back to life for posthumous roles in the entertainment industry. It gets harder and harder to tell fake content from authentic content, which makes it simpler for hackers to trick people and businesses.

Ongoing Deepfake Assaults In India

Deepfake videos continue to target popular celebrities, Priyanka Chopra is the most recent victim of this unsettling trend. Priyanka's deepfake adopts a different strategy than other examples including actresses like Rashmika Mandanna, Katrina Kaif, Kajol, and Alia Bhatt. Rather than editing her face in contentious situations, the misleading film keeps her look the same but modifies her voice and replaces real interview quotes with made-up commercial phrases. The deceptive video shows Priyanka promoting a product and talking about her yearly salary, highlighting the worrying development of deepfake technology and its possible effects on prominent personalities.

Actions Considered by Authorities

A PIL was filed requesting the Delhi High Court that access to websites that produce deepfakes be blocked. The petitioner's attorney argued in court that the government should at the very least establish some guidelines to hold individuals accountable for their misuse of deepfake and AI technology. He also proposed that websites should be asked to identify information produced through AI as such and that they should be prevented from producing illegally. A division bench highlighted how complicated the problem is and suggested the government (Centre) to arrive at a balanced solution without infringing the right to freedom of speech and expression (internet).  

Information Technology Minister Ashwini Vaishnaw stated that new laws and guidelines would be implemented by the government to curb the dissemination of deepfake content. He presided over a meeting involving social media companies to talk about the problem of deepfakes. "We will begin drafting regulation immediately, and soon, we are going to have a fresh set of regulations for deepfakes. this might come in the way of amending the current framework or ushering in new rules, or a new law," he stated.

Prevention and Detection Techniques

To effectively combat the growing threat posed by the misuse of deepfake technology, people and institutions should place a high priority on developing critical thinking abilities, carefully examining visual and auditory cues for discrepancies, making use of tools like reverse image searches, keeping up with the latest developments in deepfake trends, and rigorously fact-check reputable media sources. Important actions to improve resistance against deepfake threats include putting in place strong security policies, integrating cutting-edge deepfake detection technologies, supporting the development of ethical AI, and encouraging candid communication and cooperation. We can all work together to effectively and mindfully manage the problems presented by deepfake technology by combining these tactics and adjusting the constantly changing terrain.

Conclusion

Advanced artificial intelligence-powered deepfake technology produces extraordinarily lifelike computer-generated information, raising both creative and moral questions. Misuse of tech or deepfake presents major difficulties such as identity theft and the propagation of misleading information, as demonstrated by examples in India, such as the latest deepfake video involving Priyanka Chopra. It is important to develop critical thinking abilities, use detection strategies including analyzing audio quality and facial expressions, and keep up with current trends in order to counter this danger. A thorough strategy that incorporates fact-checking, preventative tactics, and awareness-raising is necessary to protect against the negative effects of deepfake technology. Important actions to improve resistance against deepfake threats include putting in place strong security policies, integrating cutting-edge deepfake detection technologies, supporting the development of ethical AI, and encouraging candid communication and cooperation. We can all work together to effectively and mindfully manage the problems presented by deepfake technology by combining these tactics and making adjustments to the constantly changing terrain. Creating a true cyber-safe environment for netizens. 

References:

• https://yourstory.com/2023/11/unveiling-deepfake-technology-impact
• https://www.indiatoday.in/movies/celebrities/story/deepfake-alert-priyanka-chopra-falls-prey-after-rashmika-mandanna-katrina-kaif-and-alia-bhatt-2472293-2023-12-05
• https://www.csoonline.com/article/1251094/deepfakes-emerge-as-a-top-security-threat-ahead-of-the-2024-us-election.html
• https://timesofindia.indiatimes.com/city/delhi/hc-unwilling-to-step-in-to-curb-deepfakes-delhi-high-court/articleshow/105739942.cms
• https://www.indiatoday.in/india/story/india-among-top-targets-of-deepfake-identity-fraud-2472241-2023-12-05
• https://sumsub.com/fraud-report-2023/

Introduction

The G7 nations, a group of the most powerful economies, have recently turned their attention to the critical issue of cybercrimes and (AI) Artificial Intelligence. G7 summit has provided an essential platform for discussing the threats and crimes occurring from AI and lack of cybersecurity. These nations have united to share their expertise, resources, diplomatic efforts and strategies to fight against cybercrimes. In this blog, we shall investigate the recent development and initiatives undertaken by G7 nations, exploring their joint efforts to combat cybercrime and navigate the evolving landscape of artificial intelligence. We shall also explore the new and emerging trends in cybersecurity, providing insights into ongoing challenges and innovative approaches adopted by the G7 nations and the wider international community.

G7 Nations and AI

Each of these nations have launched cooperative efforts and measures to combat cybercrime successfully. They intend to increase their collective capacities in detecting, preventing, and responding to cyber assaults by exchanging intelligence, best practices, and experience. G7 nations are attempting to develop a strong cybersecurity architecture capable of countering increasingly complex cyber-attacks through information-sharing platforms, collaborative training programs, and joint exercises.

The G7 Summit provided an important forum for in-depth debates on the role of artificial intelligence (AI) in cybersecurity. Recognising AI’s transformational potential, the G7 nations have participated in extensive discussions to investigate its advantages and address the related concerns, guaranteeing responsible research and use. The nation also recognises the ethical, legal, and security considerations of deploying AI cybersecurity.

Worldwide Rise of Ransomware

High-profile ransomware attacks have drawn global attention, emphasising the need to combat this expanding threat. These attacks have harmed organisations of all sizes and industries, leading to data breaches, operational outages, and, in some circumstances, the loss of sensitive information. The implications of such assaults go beyond financial loss, frequently resulting in reputational harm, legal penalties, and service delays that affect consumers, clients, and the public. The increase in high-profile ransomware incidents has garnered attention worldwide, Cybercriminals have adopted a multi-faceted approach to ransomware attacks, combining techniques such as phishing, exploit kits, and supply chain Using spear-phishing, exploit kits, and supply chain hacks to obtain unauthorised access to networks and spread the ransomware. This degree of expertise and flexibility presents a substantial challenge to organisations attempting to protect against such attacks.

Focusing On AI and Upcoming Threats

During the G7 summit, one of the key topics for discussion on the role of AI (Artificial Intelligence) in shaping the future, Leaders and policymakers discuss the benefits and dangers of AI adoption in cybersecurity. Recognising AI’s revolutionary capacity, they investigate its potential to improve defence capabilities, predict future threats, and secure vital infrastructure. Furthermore, the G7 countries emphasise the necessity of international collaboration in reaping the advantages of AI while reducing the hazards. They recognise that cyber dangers transcend national borders and must be combated together. Collaboration in areas such as exchanging threat intelligence, developing shared standards, and promoting best practices is emphasised to boost global cybersecurity defences. The G7 conference hopes to set a global agenda that encourages responsible AI research and deployment by emphasising the role of AI in cybersecurity. The summit’s sessions present a path for maximising AI’s promise while tackling the problems and dangers connected with its implementation.

As the G7 countries traverse the complicated convergence of AI and cybersecurity, their emphasis on collaboration, responsible practices, and innovation lays the groundwork for international collaboration in confronting growing cyber threats. The G7 countries aspire to establish robust and secure digital environments that defend essential infrastructure, protect individuals’ privacy, and encourage trust in the digital sphere by collaboratively leveraging the potential of AI.

Promoting Responsible Al development and usage

The G7 conference will focus on developing frameworks that encourage ethical AI development. This includes fostering openness, accountability, and justice in AI systems. The emphasis is on eliminating biases in data and algorithms and ensuring that AI technologies are inclusive and do not perpetuate or magnify existing societal imbalances.

Furthermore, the G7 nations recognise the necessity of privacy protection in the context of AI. Because AI systems frequently rely on massive volumes of personal data, summit speakers emphasise the importance of stringent data privacy legislation and protections. Discussions centre around finding the correct balance between using data for AI innovation, respecting individuals’ privacy rights, and protecting data security. In addition to responsible development, the G7 meeting emphasises the importance of responsible AI use. Leaders emphasise the importance of transparent and responsible AI governance frameworks, which may include regulatory measures and standards to ensure AI technology’s ethical and legal application. The goal is to defend individuals’ rights, limit the potential exploitation of AI, and retain public trust in AI-driven solutions.

The G7 nations support collaboration among governments, businesses, academia, and civil society to foster responsible AI development and use. They stress the significance of sharing best practices, exchanging information, and developing international standards to promote ethical AI concepts and responsible practices across boundaries. The G7 nations hope to build the global AI environment in a way that prioritises human values, protects individual rights, and develops trust in AI technology by fostering responsible AI development and usage. They work together to guarantee that AI is a force for a good while reducing risks and resolving social issues related to its implementation.

Challenges on the way

During the summit, the nations, while the G7 countries are committed to combating cybercrime and developing responsible AI development, they confront several hurdles in their efforts. Some of them are:

A Rapidly Changing Cyber Threat Environment: Cybercriminals’ strategies and methods are always developing, as is the nature of cyber threats. The G7 countries must keep up with new threats and ensure their cybersecurity safeguards remain effective and adaptable.

Cross-Border Coordination: Cybercrime knows no borders, and successful cybersecurity necessitates international collaboration. On the other hand, coordinating activities among nations with various legal structures, regulatory environments, and agendas can be difficult. Harmonising rules, exchanging information, and developing confidence across states are crucial for effective collaboration.

Talent Shortage and Skills Gap: The field of cybersecurity and AI knowledge necessitates highly qualified personnel. However, skilled individuals in these fields need more supply. The G7 nations must attract and nurture people, provide training programs, and support research and innovation to narrow the skills gap.

Keeping Up with Technological Advancements: Technology changes at a rapid rate, and cyber-attacks become more complex. The G7 nations must ensure that their laws, legislation, and cybersecurity plans stay relevant and adaptive to keep up with future technologies such as AI, quantum computing, and IoT, which may both empower and challenge cybersecurity efforts.

Conclusion

To combat cyber threats effectively, support responsible AI development, and establish a robust cybersecurity ecosystem, the G7 nations must constantly analyse and adjust their strategy. By aggressively tackling these concerns, the G7 nations can improve their collective cybersecurity capabilities and defend their citizens’ and global stakeholders’ digital infrastructure and interests.