Generative AI and Environmental Risks

Aditi Pangotra

Research Analyst, Policy & Advocacy, CyberPeace

PUBLISHED ON

Sep 9, 2024

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

PUBLISHED ON

Sep 9, 2024

Related Blogs

Digital Arrest Fraud

December 7, 2023

Introduction

In the rapidly evolving landscape of cyber threats, a novel menace has surfaced the concept of Digital Arrest. The impostors impersonating law enforcement officers deceive the victims into believing that their bank account, SIM card, Aadhaar card, or bank card has been used unlawfully. They coerce victims into paying them money. Digital Arrest involves the virtual restraint of individuals. These suspensions can vary from restricted access to the account(s), and digital platforms, to implementing measures to prevent further digital activities or being restrained on video calling or being monitored through video calling. In the era of digitisation where the technology is growing on an exponential phase, various existing loopholes are being utilised by the wrongdoers which has given rise to this sinister trend known as “digital arrest fraud”. In this scam, the defrauder manipulates the victims, who impersonate law enforcement officials and further traps the victims into a web of deception involving threats of imminent digital restraint and coerced financial transactions.

Recognizing the Danger of Digital Arrest

A recent case involving an interactive voice response (IVR) call that targeted a victim sheds light on the complexities of the "digital arrest" cybercrime. The victim was notified by the scammers—who were pretending to be law enforcement officers—that a SIM card in her name had apparently been utilised in a criminal incident in Mumbai. The call proceeded to a video conversation with an FBI agent who falsely accused her of being involved in money laundering. The victim was forced into a web of dishonesty because she now believed she was involved in a criminal case, underscoring the psychological manipulation these hackers were using.

Recent incidents of digital arrest fraud

Recently, a complaint was registered at the Noida Cyber Crime Police Station made by a 50-year-old victim, who was deceived of over Rs 11 lakh and exposed to "digital arrest". By using the identities of an IPS officer in the CBI and the founder of an airline that was grounded, the attackers, masquerading as law enforcement officers, falsely accused the victim of being involved in a fake money-laundering case. She was told that she had another SIM card in her name that was used for fraudulent activities in Mumbai. The complaint made by the victim asserted “Victim’s call was transferred to a person (who identified himself as a Mumbai Police officer) who conducted the initial interrogation over the call and then on Skype VC, where she stayed from 9:30 AM to around 7 in the evening. The woman ended up transferring around ₹11.11 lakh. The scammers then ended contact with her, after which she realised she had been scammed.
Another recent case of digital arrest fraud came from Faridabad. Where a 23-year-old girl got a call from a fraudster posing as a Lucknow customs officer. The caller said that a package was being shipped to Cambodia that included cards and passports associated with the victim's Aadhaar number. The victim was forced to believe that she was a part of illegal activity, which included trafficking in humans. Under the guise of police officials, the hackers made up allegations before extorting money from the victim. After that, she was told by a man acting as a CBI official that she needed to pay five per cent of the total which was Rs 15 lakh. She said the cybercriminals instructed her not to log off Skype. In the meantime, she ended up transferring Rs 2.5 lakh to a bank account shared by cybercriminals.

Measures to protect oneself from digital arrest

Sustaining a practical and observant approach towards cybersecurity is the key to lowering the peril of being targeted and experiencing digital arrest. Following are certain best practices for ensuring the same:

Cyber Hygiene: This includes maintaining cyber hygiene by regularly updating passwords, and software and also enabling two-factor authentications to reduce the chances of unauthorized access.

Phishing Attempts: These can be evaded by refraining from clicking on dubious links or downloading attachments from unknown sources and also authenticating the legitimacy of emails and messages before sharing any personal information.

Secured devices: By installing reputable antivirus and anti-malware solutions and keeping operating systems and applications up to date with the latest security protocols.

Virtual Private Networks (VPNs): VPNs can be employed to encrypt internet connections thus enhancing privacy and security. However one must be cautious of free VPN services and OTP only for trustworthy providers.

Monitor online services: A regular review of online accounts for any unauthorized or unlawful activities and setting up alerts for any changes to account settings or login attempts may help in the early detection of cybercrime and coping with it.

Secure communication channels: Using secure communication techniques such as encryption can be done for the protection of sensitive information. Sharing of passwords and other information must be cautiously done especially in public forums.

Awareness: The increasing prevalence of cybercrime known as "digital arrest" underscores the need for preventive measures and increased public awareness. Educational initiatives that draw attention to prevalent cyber threats—especially those that include law enforcement impersonation—can enable people to identify and fend off scams of this kind. The collaboration of law enforcement agencies and telecommunication companies can effectively limit the access points used by fraudsters by identifying and blocking susceptible calls.

Conclusion

The rise of Digital Arrest presents a noteworthy and innovative threat to cybersecurity by taking advantage of people's weaknesses through deceitful impersonation and coercive measures. The case in Noida is a prime example of the boldness and skill of cybercriminals who use fear and false information to trick victims into thinking they are in danger of suffering harsh legal repercussions and taking large amounts of money. In order to combat this increasing cybercrime, people need to take a proactive and watchful stance when it comes to cybersecurity. Cyber hygiene techniques, such as two-factor authentication and frequent password changes, are essential for lowering the possibility of unwanted access. Important precautions include being aware of phishing efforts, protecting devices with reliable antivirus software, and using Virtual Private Networks (VPNs) to increase privacy. Cybercriminals and fraudsters often use fear as a powerful tool to manipulate people and exploit their vulnerabilities for illicit gains in the realms of cybercrime and financial fraud. To protect themselves against the sneaky threat of Digital Arrest, netizens must traverse the constantly changing cyber threat landscape with collective knowledge, educated practices, and strong cybersecurity measures.

References:

Rise of Fake Loan App Scams

July 13, 2024

Introduction

The increase in consumer demands has resulted in a sharp increase in digital financing in India. As a result, the reputation of the digital lending sector has been impacted, as bad actors increasingly deploy illicit lending platforms such as fraudulent loans and trading apps. As millions of Indians download fast loan applications to help them meet their financial ends, the fraudulent apps result in cyber crimes including financial fraud. Consumers need to be vigilant of dubious trading or loan applications as bad actors frequently use illegitimate apps to trick victims by advertising limited-period offers and applying pressure.

Recently the Indian Cyber Crime Coordination Centre (I4C) led handel CyberDost has issued a cybercrime alert against the ‘CashExpand-U’ finance assistant app, which has been now removed from the Google Play Store. The app was found to be associated with hostile foreign entities, and the app had made it easier to raise small loans. However, such loan apps are seldom credible and may compromise financial information.

Raising cases of Fraudulent Loan Apps

The finance minister had stated that the government is constantly engaged with the Reserve Bank of India and other regulators and stakeholders to control fraudulent loan apps. In FY23, there were 1,062 complaints against such apps, the Finance Minister shared during a Lok Sabha session. Google removed almost 134 fake apps from the Play Store in a single week in September 2023 after multiple complaints were registered against such apps. The Reserve Bank of India (RBI) had also issued regulatory guidelines on digital lending in April 2023 to bring transparency in the digital loan space.

CyberPeace Policy Wing Advisory for Users

Be cautious of App Permissions

Fake lending apps collect data by fraudulently taking numerous app permissions from consumers and misusing them later. The users must effectively manage their app permissions to avoid denying any extra permissions such as access to contacts, location, and photos. This is because fraudulent digital lenders access users' personal data to extort additional money even after loan repayment.

Practice Due Diligence

Consumers must exercise care & caution before applying for a loan from digital lending platforms. Before applying for a loan or downloading any such apps, consumers must conduct due diligence by verifying the app's name, rating, reviews, physical address, and contact information. Always double-verify the paperwork before signing any agreement or contract. Always apply for loans from RBI-approved and compliant banking and financial services providers.

Download from Official Sources

To avoid downloading counterfeit apps, only download lending apps from official stores like Google Play Store or Apple App Store, and avoid downloading apps from web links sent via SMS, email, or social media, even if shared by your known persons.

Be sceptical of too-good-to-be-true offerings

Be cautious of deals that seem too good to be true, like hassle-free easy loans as they can be fraudulent. If an offer seems too good to be true, it might be a red flag. Hence always conduct your own research to verify the lender and avoid making hasty decisions.

Reporting Mechanism

In case of facing a scam by such fraudulent apps, victims can file a complaint with the ‘National Cyber Crime Reporting Portal’ or Cyber Crime Helpline ‘1930’, or they can also contact us at CyberPeace Helpline +919570000066 and helpline@cyberpeace.net to get assistance in reporting their cases.

Final Words

Illegitimate loan/trading apps have been raising concerns by defrauding innocent consumers who seek financial assistance. The Center has recently warned against the CashExpand-U app, which has been now removed from the Google Play Store. Users are advised to exercise due care and caution while downloading loan apps and applying for loans to prevent any potential scams. keep up to date with news from concerned authorities about common scams and fraudulent practices in the lending space and stay safe in the online world.

References:

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Ushering into New Era with India’s Premier Cyber Lab

March 20, 2024

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

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Generative AI and Environmental Risks

Introduction

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

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

Policy Recommendations

Final Words

References

Related Blogs

Introduction

Recognizing the Danger of Digital Arrest

Recent incidents of digital arrest fraud

Measures to protect oneself from digital arrest

Conclusion

References:

Introduction

Raising cases of Fraudulent Loan Apps

CyberPeace Policy Wing Advisory for Users

Final Words

References:

Introduction

In compliance with the New Laws

Recent Trend

The Cyber Lab

Conclusion

References

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