#FactCheck - The video of Virat Kohli promoting online casino mobile app is a deep fake.

Introduction

With the increasing frequency and severity of cyber-attacks on critical sectors, the government of India has formulated the National Cyber Security Reference Framework (NCRF) 2023, aimed to address cybersecurity concerns in India. In today’s digital age, the security of critical sectors is paramount due to the ever-evolving landscape of cyber threats. Cybersecurity measures are crucial for protecting essential sectors such as banking, energy, healthcare, telecommunications, transportation, strategic enterprises, and government enterprises. This is an essential step towards safeguarding these critical sectors and preparing for the challenges they face in the face of cyber threats. Protecting critical sectors from cyber threats is an urgent priority that requires the development of robust cybersecurity practices and the implementation of effective measures to mitigate risks.

Overview of the National Cyber Security Policy 2013

The National Cyber Security Policy of 2013 was the first attempt to address cybersecurity concerns in India. However, it had several drawbacks that limited its effectiveness in mitigating cyber risks in the contemporary digital age. The policy’s outdated guidelines, insufficient prevention and response measures, and lack of legal implications hindered its ability to protect critical sectors adequately. Moreover, the policy should have kept up with the rapidly evolving cyber threat landscape and emerging technologies, leaving organisations vulnerable to new cyber-attacks. The 2013 policy failed to address the evolving nature of cyber threats, leaving organisations needing updated guidelines to combat new and sophisticated attacks.

As a result, an updated and more comprehensive policy, the National Cyber Security Reference Framework 2023, was necessary to address emerging challenges and provide strategic guidance for protecting critical sectors against cyber threats.

Highlights of NCRF 2023

• Strategic Guidance: NCRF 2023 has been developed to provide organisations with strategic guidance to address their cybersecurity concerns in a structured manner.
• Common but Differentiated Responsibility (CBDR): The policy is based on a CBDR approach, recognising that different organisations have varying levels of cybersecurity needs and responsibilities.
• Update of National Cyber Security Policy 2013: NCRF supersedes the National Cyber Security Policy 2013, which was due for an update to align with the evolving cyber threat landscape and emerging challenges.
• Different from CERT-In Directives: NCRF is distinct from the directives issued by the Indian Computer Emergency Response Team (CERT-In) published in April 2023. It provides a comprehensive framework rather than specific directives for reporting cyber incidents.
• Combination of robust strategies: National Cyber Security Reference Framework 2023 will provide strategic guidance, a revised structure, and a proactive approach to cybersecurity, enabling organisations to tackle the growing cyberattacks in India better and safeguard critical sectors.

Rising incidents of malware attacks on critical sectors

In recent years, there has been a significant increase in malware attacks targeting critical sectors. These sectors, including banking, energy, healthcare, telecommunications, transportation, strategic enterprises, and government enterprises, play a crucial role in the functioning of economies and the well-being of societies. The escalating incidents of malware attacks on these sectors have raised concerns about the security and resilience of critical infrastructure.

• Banking: The banking sector handles sensitive financial data and is a prime target for cybercriminals due to the potential for financial fraud and theft.
• Energy: The energy sector, including power grids and oil companies, is critical for the functioning of economies, and disruptions can have severe consequences for national security and public safety.
• Healthcare: The healthcare sector holds valuable patient data, and cyber-attacks can compromise patient privacy and disrupt healthcare services. Malware attacks on healthcare organisations can result in the theft of patient records, ransomware incidents that cripple healthcare operations, and compromise medical devices.
• Telecommunications: Telecommunications infrastructure is vital for reliable communication, and attacks targeting this sector can lead to communication disruptions and compromise the privacy of transmitted data. The interconnectedness of telecommunications networks globally presents opportunities for cybercriminals to launch large-scale attacks, such as Distributed Denial-of-Service (DDoS) attacks.
• Transportation: Malware attacks on transportation systems can lead to service disruptions, compromise control systems, and pose safety risks.
• Strategic Enterprises: Strategic enterprises, including defence, aerospace, intelligence agencies, and other sectors vital to national security, face sophisticated malware attacks with potentially severe consequences. Cyber adversaries target these enterprises to gain unauthorised access to classified information, compromise critical infrastructure, or sabotage national security operations.
• Government Enterprises: Government organisations hold a vast amount of sensitive data and provide essential services to citizens, making them targets for data breaches and attacks that can disrupt critical services.

Conclusion  

The sectors of banking, energy, healthcare, telecommunications, transportation, strategic enterprises, and government enterprises face unique vulnerabilities and challenges in the face of cyber-attacks. By recognising the significance of safeguarding these sectors, we can emphasise the need for proactive cybersecurity measures and collaborative efforts between public and private entities. Strengthening regulatory frameworks, sharing threat intelligence, and adopting best practices are essential to ensure our critical infrastructure’s resilience and security. Through these concerted efforts, we can create a safer digital environment for these sectors, protecting vital services and preserving the integrity of our economy and society. The rising incidents of malware attacks on critical sectors emphasise the urgent need for updated cybersecurity policy, enhanced cybersecurity measures, a collaboration between public and private entities, and the development of proactive defence strategies. National Cyber Security Reference Framework 2023 will help in addressing the evolving cyber threat landscape, protect critical sectors, fill the gaps in sector-specific best practices, promote collaboration, establish a regulatory framework, and address the challenges posed by emerging technologies. By providing strategic guidance, this framework will enhance organisations’ cybersecurity posture and ensure the protection of critical infrastructure in an increasingly digitised world.

The Rise of Tech Use Amongst Children

Technology today has become an invaluable resource for children, as a means to research issues, be informed about events, gather data, and share views and experiences with others. Technology is no longer limited to certain age groups or professions: children today are using it for learning & entertainment, engaging with their friends, online games and much more. With increased digital access, children are also exposed to online mis/disinformation and other forms of cyber crimes, far more than their parents, caregivers, and educators were in their childhood or are, even in the present. Children are particularly vulnerable to mis/disinformation due to their still-evolving maturity and cognitive capacities. The innocence of the youth is a major cause for concern when it comes to digital access because children simply do not possess the discernment and caution required to be able to navigate the Internet safely. They are active users of online resources and their presence on social media is an important factor of social, political and civic engagement but young people and children often lack the cognitive and emotional capacity needed to distinguish between reliable and unreliable information. As a result, they can be targets of mis/disinformation. ‘A UNICEF survey in 10 countries’[1] reveals that up to three-quarters of children reported feeling unable to judge the veracity of the information they encounter online.

Social media has become a crucial part of children's lives, with them spending a significant time on digital platforms such as Youtube, Facebook, Instagram and more. All these platforms act as source of news, educational content, entertainment, peer communication and more. These platforms host a variety of different kinds of content across a diverse range of subject matters, and each platform’s content and privacy policies are different. Despite age restrictions under the Children's Online Privacy Protection Act (COPPA), and other applicable laws, it is easy for children to falsify their birth date or use their parent's accounts to access content which might not be age-appropriate. 

The Impact of Misinformation on Children

In virtual settings, inaccurate information can come in the form of text, images, or videos shared through traditional and social media channels. In this age, online misinformation is a significant cause for concern, especially with children, because it  can cause anxiety, damage self-esteem, shape beliefs, and skewing their worldview/viewpoints. It can distort children's understanding of reality, hinder their critical thinking skills, and cause confusion and cognitive dissonance. The growing infodemic can even cause an overdose of information. Misinformation can also influence children's social interactions, leading to misunderstandings, conflicts, and mistrust among peers. Children from low literacy backgrounds are more susceptible to fabricated content. Mis/disinformation can exacerbate social divisions amongst peers and lead to unwanted behavioural patterns. Sometimes even children themselves can unwittingly spread/share misinformation. Therefore, it is important to educate & empower children to build cognitive defenses against online misinformation risks, promote media literacy skills, and equip them with the necessary tools to critically evaluate online information.

CyberPeace Policy Wing Recommendations

1. Role of Parents & Educators to Build Cognitive Defenses

One way parents shape their children's values, beliefs and actions is through modelling. Children observe how their parents use technology, handle challenging situations, and make decisions. For example, parents who demonstrate honesty, encourage healthy use of social media and show kindness and empathy are more likely to raise children who hold these qualities in high regard. Hence parents/educators play an important role in shaping the minds of their young charges and their behaviours, whether in offline or online settings. It is important for parents/educators to realise that they must pay close attention to how online content consumption is impacting the cognitive skills of their child. Parents/educators should educate children about authentic sources of information. This involves instructing children on the importance of using reliable, credible sources to utilise while researching on any topic of study or otherwise, and using verification mechanisms to test suspected information., This may sound like a challenging ideal to meet, but the earlier we teach children about Prebunking and Debunking strategies and the ability to differentiate between fact and misleading information, the sooner we can help them build cognitive defenses so that they may use the Internet safely. Hence it becomes paramount important for parents/educators to require children to question the validity of information, verify sources, and critically analyze content. Developing these skills is essential for navigating the digital world effectively and making informed decisions.

2. The Role of Tech & Social Media Companies to Fortify their Steps in Countering Misinformation

Is worth noting that all major tech/social media companies have privacy policies in place to discourage any spread of harmful content or misinformation. Social media platforms have already initiated efforts to counter misinformation by introducing new features such as adding context to content, labelling content, AI watermarks and collaboration with civil society organisations to counter the widespread online misinformation. In light of this, social media platforms must prioritise both the designing and the practical implementation aspects of policy development and deployment to counter misinformation strictly. These strategies can be further improved upon  through government support and regulatory controls. It is recommended that social media platforms must further increase their efforts to counter increasing spread of online mis/disinformation and apply advanced techniques to counter misinformation including filtering, automated removal, detection and prevention, watermarking, increasing reporting mechanisms, providing context to suspected content, and promoting authenticated/reliable sources of information.

Social media platforms should consider developing children-specific help centres that host educational content in attractive, easy-to-understand formats so that children can learn about misinformation risks and tactics, how to spot red flags and how to increase their information literacy and protect themselves and their peers. Age-appropriate, attractive and simple content can go a long way towards fortifying young minds and making them aware and alert without creating fear. 

3. Laws and Regulations

It is important that the government and the social media platforms work in sync to counteract misinformation. The government must consult with the concerned platforms and enact rules and regulations which strengthen the platform’s age verification mechanisms at the sign up/ account creation stage whilst also respecting user privacy. Content moderation, removal of harmful content, and strengthening reporting mechanisms all are important factors which must be prioritised at both the regulatory level and the platform operational level. Additionally, in order to promote healthy and responsible use of technology by children, the government should collaborate with other institutions to design information literacy programs at the school level. The government must make it a key priority to work with civil society organisations and expert groups that run programs to fight misinformation and co-create  a safe cyberspace for everyone, including children. 

4. Expert Organisations and Civil Societies

Cybersecurity experts and civil society organisations possess the unique blend of large scale impact potential and technical expertise. We have the ability to educate and empower huge numbers, along with the skills and policy acumen needed to be able to not just make people aware of the problem but also teach them how to solve it for themselves. True, sustainable solutions to any social concern only come about when capacity-building and empowerment are at the heart of the initiative. Programs that prioritise resilience, teach Prebunking and Debunking and are able to understand the unique concerns, needs and abilities of children and design solutions accordingly are the best suited to implement the administration’s mission to create a safe digital society. 

Final Words 

Online misinformation significantly impacts child development and can hinder their cognitive abilities, color their viewpoints, and cause confusion and mistrust. It is important that children are taught not just how to use technology but how to use it responsibly and positively. This education can begin at a very young age and parents, guardians and educators can connect with CyberPeace and other similar initiatives on how to define age-appropriate learning milestones. Together, we can not only empower children to be safe today, but also help them develop into netizens who make the world even safer for others tomorrow. 

References:

• [1] Digital misinformation / disinformation and children
• [2] Children's Privacy | Federal Trade Commission

‍

Introduction

Generative AI models are significant consumers of computational resources and energy required for training and running models. While AI is being hailed as a game-changer, however underneath the shiny exterior, cracks are present which significantly raises concerns for its environmental impact. The development, maintenance, and disposal of AI technology all come with a large carbon footprint. The energy consumption of AI models, particularly large-scale models or image generation systems, these models rely on data centers powered by electricity, often from non-renewable sources, which exacerbates environmental concerns and contributes to substantial carbon emissions.

As AI adoption grows, improving energy efficiency becomes essential. Optimising algorithms, reducing model complexity, and using more efficient hardware can lower the energy footprint of AI systems. Additionally, transitioning to renewable energy sources for data centers can help mitigate their environmental impact. There is a growing need for sustainable AI development, where environmental considerations are integral to model design and deployment.

A breakdown of how generative AI contributes to environmental risks and the pressing need for energy efficiency:

• Gen AI during the training phase has high power consumption, when vast amounts of computational power which is often utilising extensive GPU clusters for weeks or at times even months, consumes a substantial amount of electricity. Post this phase, the inference phase where the deployment of these models takes place for real-time inference, can be energy-extensive especially when we take into account the millions of users of Gen AI.
• The main source of energy used for training and deploying AI models often comes from non-renewable sources which then contribute to the carbon footprint. The data centers where the computations for Gen AI take place are a significant source of carbon emissions if they rely on the use of fossil fuels for their energy needs for the training and deployment of the models. According to a study by MIT, training an AI can produce emissions that are equivalent to around 300 round-trip flights between New York and San Francisco. According to a report by Goldman Sachs, Data Companies will use 8% of US power by 2030, compared to 3% in 2022 as their energy demand grows by 160%.
• The production and disposal of hardware (GPUs, servers) necessary for AI contribute to environmental degradation. Mining for raw materials and disposing of electronic waste (e-waste) are additional environmental concerns. E-waste contains hazardous chemicals, including lead, mercury, and cadmium, that can contaminate soil and water supplies and endanger both human health and the environment. 

Efforts by the Industry to reduce the environmental risk posed by Gen AI 

There are a few examples of how companies are making efforts to reduce their carbon footprint, reduce energy consumption and overall be more environmentally friendly in the long run. Some of the efforts are as under:

• Google's TPUs in particular the Google Tensor are designed specifically for machine learning tasks and offer a higher performance-per-watt ratio compared to traditional GPUs, leading to more efficient AI computations during the shorter periods requiring peak consumption. 
• Researchers at Microsoft, for instance, have developed a so-called “1 bit” architecture that can make LLMs 10 times more energy efficient than the current leading system. This system simplifies the models’ calculations by reducing the values to 0 or 1, slashing power consumption but without sacrificing its performance.
• OpenAI has been working on optimizing the efficiency of its models and exploring ways to reduce the environmental impact of AI and using renewable energy as much as possible including the research into more efficient training methods and model architectures.

Policy Recommendations

We advocate for the sustainable product development process and press the need for Energy Efficiency in AI Models to counter the environmental impact that they have. These improvements would not only be better for the environment but also contribute to the greater and sustainable development of Gen AI.  Some suggestions are as follows:

• AI needs to adopt a Climate justice framework which has been informed by a diverse context and perspectives while working in tandem with the UN’s (Sustainable Development Goals) SDGs.
• Working and developing more efficient algorithms that would require less computational power for both training and inference can reduce energy consumption. Designing more energy-efficient hardware, such as specialized AI accelerators and next-generation GPUs, can help mitigate the environmental impact. 
• Transitioning to renewable energy sources (solar, wind, hydro) can significantly reduce the carbon footprint associated with AI. The World Economic Forum (WEF) projects that by 2050, the total amount of e-waste generated will have surpassed 120 million metric tonnes.
• Employing techniques like model compression, which reduces the size of AI models without sacrificing performance, can lead to less energy-intensive computations. Optimized models are faster and require less hardware, thus consuming less energy.
• Implementing scattered learning approaches, where models are trained across decentralized devices rather than centralized data centers, can lead to a better distribution of energy load evenly and reduce the overall environmental impact.
• Enhancing the energy efficiency of data centers through better cooling systems, improved energy management practices, and the use of AI for optimizing data center operations can contribute to reduced energy consumption.

Final Words

The UN Sustainable Development Goals (SDGs) are crucial for the AI industry just as other industries as they guide responsible innovation. Aligning AI development with the SDGs will ensure ethical practices, promoting sustainability, equity, and inclusivity. This alignment fosters global trust in AI technologies, encourages investment, and drives solutions to pressing global challenges, such as poverty, education, and climate change, ultimately creating a positive impact on society and the environment. The current state of AI is that it is essentially utilizing enormous power and producing a product not efficiently utilizing the power it gets. AI and its derivatives are stressing the environment in such a manner which if it continues will affect the clean water resources and other non-renewable power generation sources which contributed to the huge carbon footprint of the AI industry as a whole.  

References

• https://cio.economictimes.indiatimes.com/news/artificial-intelligence/ais-hunger-for-power-can-be-tamed/111302991
• https://earth.org/the-green-dilemma-can-ai-fulfil-its-potential-without-harming-the-environment/ 
• https://www.technologyreview.com/2019/06/06/239031/training-a-single-ai-model-can-emit-as-much-carbon-as-five-cars-in-their-lifetimes/
• https://www.scientificamerican.com/article/ais-climate-impact-goes-beyond-its-emissions/ ‍
• https://insights.grcglobalgroup.com/the-environmental-impact-of-ai/