#FactCheck-Mosque fire in India? False, it's from Indonesia

Introduction

Targeting airlines and airports, airline hoax threats are fabricated alarms which intend to disrupt normal day-to-day activities and create panic among the public. Security of public settings is of utmost importance, making them a vulnerable target. The consequences of such threats include the financial loss incurred by parties concerned, increased security protocols to be followed immediately after and in preparation, flight delays and diversions, emergency landings and passenger inconvenience and emotional distress. The motivation behind such threats is malicious intent of varying degrees, breaching national security, integrity and safety. However, apart from the government, airline and social media authorities which already have certain measures in place to tackle such issues, the public, through responsible consumption and verified sharing has an equal role in preventing the spread of misinformation and panic regarding the same.

Hoax Airline Threats

The recent spate of bomb hoax threats to Indian airlines has witnessed false reports about threats to (over) 500 flights since 14/10/2024, the majority being traced to posts on social media handles which are either anonymous or unverified. Some recent incidents include a hoax threat on Air India's flights from Delhi to Mumbai via Indore which was posted on X, 30/10/2024 and a flight from Nepal (Kathmandu) to Delhi on November 2nd, 2024.

As per reports by the Indian Express, steps are being taken to address such incidents by tweaking the assessment criteria for threats (regarding bombs) and authorities such as the Bomb Threat Assessment Committees (BTAC) are being selective in categorising them as specific and non-specific. Some other consideration factors include whether a VIP is onboard and whether the threat has been posted from an anonymous account with a similar history. 

CyberPeace Recommendations

1. For Public 

• Question sensational information: The public should scrutinise the information they’re consuming not only to keep themselves safe but also to be responsible to other citizens. Exercise caution before sharing alarming messages, posts and pieces of information
• Recognising credible sources: Rely only on trustworthy, verified sources when sharing information, especially when it comes to topics as serious as airline safety.
• Avoiding Reactionary Sharing: Sharing in a state of panic can contribute to the chaos created upon receiving unverified news, hence,  it is suggested to refrain from reactionary sharing.

2. For the Authorities & Agencies

• After a series of hoax bomb threats, the Government of India has issued an advisory to social media platforms calling for them to make efforts for the removal of such malicious content. Adherence to obligations such as the prompt removal of harmful content or disabling access to such unlawful information has been specified under the IT Rules, 2021. They are also obligated under the Bhartiya Nagarik Suraksha Sanhita 2023 to report certain offences on their platform. The Ministry of Civil Aviation’s action plan consists of plans regarding hoax bomb threats being labelled as a cognisable offence, and attracting a no-flyers list as a penalty, among other things.

These plans also include steps such as :  

• Introduction of other corrective measures that are to be taken against bad actors (similar to having a non-flyers list).
• Introduction of a reporting mechanism which is specific to such threats.
• Focus on promoting awareness, digital literacy and critical thinking, fact-checking resources as well as encouraging the public to report such hoaxes

Conclusion

Preventing the spread of airline threat hoaxes is a collective responsibility which involves public engagement and ownership to strengthen safety measures and build upon the trust in the overall safety ecosystem (here; airline agencies, government authorities and the public). As the government and agencies take measures to prevent such instances, the public should continue to share information only from and on verified and trusted portals. It is encouraged that the public must remain vigilant and responsible while consuming and sharing information. 

References

• https://indianexpress.com/article/business/flight-bomb-threats-assessment-criteria-serious-9646397/
• https://www.wionews.com/world/indian-airline-flight-bound-for-new-delhi-from-nepal-receives-hoax-bomb-threat-amid-rise-in-similar-incidents-772795
• https://www.newindianexpress.com/nation/2024/Oct/26/centre-cautions-social-media-platforms-to-tackle-misinformation-after-hoax-bomb-threat-to-multiple-airlines
• https://economictimes.indiatimes.com/industry/transportation/airlines-/-aviation/amid-rising-hoax-bomb-threats-to-indian-airlines-centre-issues-advisory-to-social-media-companies/articleshow/114624187.cms 

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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/

Introduction

Uttar Pradesh's state government has taken significant step to promote e-sports, organised games played on video or digital formats, under its new sports policy. The plan includes setting up an e-sports centre in the state, providing basic infrastructure to athletes in every district, and including them under various beneficiary schemes. Schools and colleges will also be asked to promote e-sports. The government sees e-sports as a crucial tool for connecting with young people and a significant market for businesses, game developers, and sports organisations. An awareness program will be held at high school and college levels to educate children about the benefits of e-sports. A talent search and skill development model will be created by studying the national and international e-sports ecosystem.

Recognition to E-Sports

The Uttar Pradesh cabinet, chaired by Chief Minister Yogi Adityanath, has approved the New Sports Policy 2023 to promote and foster a sports culture in the state. The policy focuses on various aspects, including physical fitness and training, and supports the development of new institutions and connecting schools, colleges, and private academies with sports. The state government has also incorporated provisions from other states to help athletes chase their goals.

The state's first-ever sports policy, establishing a primary fund of 10 crore for the Uttar Pradesh Sports Development Fund (UPSDF). The policy also inducted e-sports, becoming the first state in India to have e-sports in its official policy. E-sports refers to competitive and organized video game events, and the Centre has officially recognised it. 

Key highlights of the Uttar Pradesh Sports Policy 2023

The government's sports department, with the help of the industrial directorate, will plan to promote sports goods manufacturing in the state, with Meerut being one of the main clusters. 

The policy also promises to increase the participation of women in sports. Para-athletes will be accommodated in all schemes of the sports department, and special coaches will be appointed for para-sports.

Athletes who have represented the state at national and international levels will be part of the state pension scheme, receiving monthly pensions and preference for university admission and jobs under the sports quota. Cash prizes will be awarded based on international performance and will be increased for those who help these athletes win medals at the top level.

Way forward

The policy promises financial assistance to sports associations and academies, allowing them to expand their infrastructure and training facilities. The state will also establish 14 centres of excellence, each centred around a particular sport, through Public-Private Partnership (PPP) models. The state sports authority will be established, on the lines of the Sports Authority of India (SAI). A State Sports Development Fund will be put in place to provide assistance to weak players, associations, or academies. Five high-performance centres will be built in the state, providing training facilities for high-performance athletes.

The policy also includes provisions for financial assistance to budding athletes, providing health insurance coverage of up to Rs 5 lakh for registered players and funds from the Eklavya Sports Fund for injury treatment. Players will receive training based on their skill power, with three categories: grassroots players, elite-class players, and elite-class players. Other notable aspects of the policy include establishing sports centres in each district, promoting local and indigenous sports, encouraging the sports industry, promoting e-sports, providing better facilities in hostels, forming committees for international players, encouraging schools to start sports nurseries or academies, and forming a committee for the Khelo India University Games which is a largest ever competition held at university level in India.

Conclusion

Uttar Pradesh's New Sports Policy 2023 is a significant step towards sports development, integrating e-sports into its sports promotion strategies. Under Chief Minister Yogi Adityanath, the state government is committed to sports infrastructure development, talent identification, and athlete support systems. The policy emphasises inclusivity, accommodating para-athletes, and providing financial assistance, training, and health insurance coverage for athletes. Initiatives include establishing sports centres, promoting indigenous sports, encouraging private investments, and fostering collaboration between educational institutions and sports academies. The policy also encourages for organising and hosting national and international level e-sports competitions in the state. This forward-looking approach aims to harness the full spectrum of sporting opportunities, empowering citizens and elevating its standing in national and international sporting arenas.

References:

• https://www.business-standard.com/article/current-affairs/uttar-pradesh-cabinet-approves-new-sports-policy-2023-encourage-athletes-123031001063_1.html

• https://g2g.news/esports/uttar-pradesh-government-to-promote-esports-under-new-sports-policy/

• https://www.hindustantimes.com/cities/lucknow-news/up-cabinet-approves-state-s-maiden-sports-policy-101678473134649-amp.html

• https://timesofindia.indiatimes.com/city/lucknow/e-sports-to-get-major-push-with-new-policy/amp_articleshow/98646728.cms

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