Colorado’s Special Session and the Future of Algorithmic Accountability: Lessons for India

Ayndri

Research Analyst - Policy & Advocacy, CyberPeace

PUBLISHED ON

Aug 22, 2025

Introduction

Earlier this month, lawmakers in Colorado, a U.S. state, were summoned to a special legislative session to rewrite their newly passed Artificial Intelligence (AI) law before it even takes effect. Although the discussion taking place in Denver may seem distant, evolving regulations like this one directly address issues that India will soon encounter as we forge our own course for AI governance.

The Colorado Artificial Intelligence Act

Colorado became the first U.S. state to pass a comprehensive AI accountability law, set to come into force in 2026. It aims to protect people from bias, discrimination, and harm caused by predictive algorithms since AI tools have been known to reproduce societal biases by sidelining women from hiring processes, penalising loan applicants from poor neighbourhoods, or through welfare systems that wrongly deny citizens their benefits. But the law met resistance from tech companies who threatened to pull out form the state, claiming it is too broad in scope in its current form and would stifle innovation. This brings critical questions about AI regulation to the forefront:

Who should be responsible when AI causes harm? Developers, deployers, or both?
How should citizens seek justice?
How can tech companies be incentivised to develop safe technologies?

Colorado’s governor has called a special session to update the law before it kicks in.

What This Means for India

India is on its path towards framing a dedicated AI-specific law or directions, and discussions are underway through the IndiaAI Mission, the proposed Digital India Act, committee set by the Delhi High Court on deepfake and other measures. But the dilemmas Colorado is wrestling with are also relevant here.

AI uptake is growing in public service delivery in India. Facial recognition systems are expanding in policing, despite accuracy and privacy concerns. Fintech apps using AI-driven credit scoring raise questions of fairness and transparency.
Accountability is unclear. If an Indian AI-powered health app gives faulty advice, who should be liable- the global developer, the Indian startup deploying it, or the regulator who failed to set safeguards?
India has more than 1,500 AI startups (NASSCOM), which, like Colorado’s firms, fear that onerous compliance could choke growth. But weak guardrails could undermine public trust in AI altogether.

Lessons for India

India’s Ministry of Electronics and IT ( MEITy) favours a light-touch approach to AI regulation, and exploring and advancing ways for a future-proof guideline. Further, lessons from other global frameworks can guide its way.

Colorado’s case shows us the necessity of incorporating feedback loops in the policy-making process. India should utilise regulatory sandboxes and open, transparent consultation processes before locking in rigid rules.
It will also need to explore proportionate obligations, lighter for low-risk applications and stricter for high-risk use cases such as policing, healthcare, or welfare delivery.
Europe’s AI Act is heavy on compliance, the U.S. federal government leans toward deregulation, and Colorado is somewhere in between. India has the chance to create a middle path, grounded in our democratic and developmental context.

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Conclusion

As AI becomes increasingly embedded in hiring, banking, education, and welfare, opportunities for ordinary Indians are being redefined. To shape how this pans out, states like Tamil Nadu and Telangana have taken early steps to frame AI policies. Lessons will emerge from their initiative in addressing AI governance. Policy and regulation will always be contested, but contestations are a part of the process.

The Colorado debate shows us how participative law-making, with room for debate, revision, and iteration, is not a weakness but a necessity. For India’s emerging AI governance landscape, the challenge will be to embrace this process while ensuring that citizen rights and inclusion are balanced well with industry concerns. CyberPeace advocates for responsible AI regulation that balances innovation and accountability.

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References

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PUBLISHED ON

Aug 22, 2025

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E-Commerce Brushing Scam: Alerts and Insights

February 10, 2025

As e-commerce companies expand their base and sell a wide range of products on their platforms, attackers continue to look for newer avenues to exploit and potential loopholes to perpetuate scams. A recent method used by scammers is the brushing scam, which targets online shoppers to drive sales. As per reports, it is already being conducted on popular and trusted e-commerce websites such as Amazon and Alibaba Express, and online shoppers must exercise caution with regard to the packages they receive.

The Brushing Scam

Deriving its name from China’s e-commerce practice, this scam includes sellers creating and sending fake orders to unsuspecting individuals, posing to be from e-commerce websites in order to ‘brush up’ the sales figures of their product. The products received are usually low quality and contain items such as low-cost jewellery, seeds, and random gadgets, among other things. The aim is to manipulate reviews for a particular product and make it seem popular so other buyers online are encouraged to purchase the items marketed. Most online shoppers today check reviews before making a purchase, and popular items and seemingly-trustworthy reviews can go a long way towards influencing customer behaviour. Since many platforms do include labels to authenticate reviews tied to genuine purchases to counter fake reviews, scammers have evolved a step further to develop an MO for fake reviews that holds up against basic levels of scrutiny. Some of the packages received under the brushing scam also have QR codes which once scanned lead the receiver to malicious websites.

CyberPeace Insights

Mysterious deliveries that have no information but your name and address may seem tempting to many, as receivers might assume that it could be a marketing gig and free products to try for the sake of promoting a product. The credibility of such deliveries increases as they are packaged to show that these are delivered through trusted online shopping and e-commerce sites. However, even though receiving products for free might seem harmless, it is advised that unknown items be dealt with carefully, more so when addressed to an individual with personal details. Receiving an order itself is an indication that personal information such as one’s name and address has been compromised, and it is likely that the sellers are involved in procuring personal information through a third party, often using illegal methods.

Registering complaints to the concerned e-commerce websites is encouraged, as the frequency of cases raises questions and encourages platforms to take action to ensure a secure buying and delivery experience from their end. An awareness of such scams being carried out for their customers could encourage caution on the part of these platforms and prove to be helpful in addressing the issue on multiple levels. On the part of the receivers, they can change the passwords of their e-commerce accounts and use a 2FA (2-factor authentication) for better security. They should also exercise caution while receiving such parcels, and avoid scanning QR codes on suspicious items.

References

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Alert! Purina’s Emerging Threat: Cloning Biometrics for Bank Fraud

May 24, 2023

Introduction

In the age of advanced technology, Cyber threats continue to grow, and so are the cyber hubs. A new name has been added to the cyber hub, Purnia, a city in India, is now evolving as a new and alarming menace-biometric cloning and financial crimes. This emerging cyber threat involves replicating an individual’s biometric data, such as fingerprint or facial recognition, to gain unauthorised access to their bank accounts and carry out fraudulent activities. In this blog, we will have a look at the methods employed, the impact on individuals and institutions, and the necessary steps to mitigate the risk.

The Backdrop

Purnia, a bustling city in the state of Bihar, India, is known for its rich cultural heritage, However, underneath its bright appearance comes a hidden danger—a rising cyber threat with the potential to devastate its citizens’ financial security. Purnia has seen the growth of a dangerous trend in recent years, such as biometric cloning for financial crimes, after several FIRs were registered with Kasba and Amaur police stations. The Police came into action and started an investigation.

Modus Operandi unveiled

The modus Operandi of cyber criminals includes hacking into databases, intercepting data during transactions, or even physically obtaining fingerprints of facial images from objects or surfaces. Let’s understand how they gathered all this data and why Bihar was not targeted.

These criminals are way smart they operate in the three states. They targeted and have open access to obtain registry and agreement paperwork from official websites, albeit it is not available online in Bihar. As a result, the scam was conducted in other states rather than Bihar; further, the fraudsters were involved in downloading the fingerprints, biometrics, and Aadhaar numbers of buyers and sellers from the property registration documents of Andhra Pradesh, Haryana, and Telangana.

After Cloning fingerprints, the fraudster withdrew money after linking with Aadhaar Enabled Payment System (AEPS) from various bank accounts. The fraudsters stamped the fingerprint on rubber trace paper and utilised a polymer stamp machine and heating at a specific temperature with a chemical to make duplicate fingerprints used in unlawful financial transactions from several consumers’ bank accounts.

Investigation Insight

After the breakthrough, the police teams recovered a large number of smartphones, ATM cards, rubber stamps of fingerprints, Aadhar numbers, scanners, Stamp machines, laptops, and chemicals, and along with this, 17 people were arrested.

During the investigation, it was found that the cybercriminals employ Sophisticated money laundering techniques to obscure the illicit origins of the stolen funds. The fraudsters transfer money into various /multiple accounts or use cryptocurrency. Using these tactics makes it more challenging for authorities to trace back money and get it back.

Impact of biometric Cloning scam

The Biometric scam has far-reaching implications both for society, Individuals, and institutions. These kinds of scams cause financial losses and create emotional breakdowns, including anger, anxiety, and a sense of violation. This also broke the trust in a digital system.

It also seriously impacts institutions. Biometric cloning frauds may potentially cause severe reputational harm to financial institutions and organisations. When clients fall prey to such frauds, it erodes faith in the institution’s security procedures, potentially leading to customer loss and a tarnished reputation. Institutions may suffer legal and regulatory consequences, and they must invest money in investigating the incident, paying victims, and improving their security systems to prevent similar instances.

Raising Awareness

Empowering Purnia Residents to Protect Themselves from Biometric Fraud: Purnia must provide its inhabitants with knowledge and techniques to protect their personal information as it deals with the increasing issue of biometric fraud. Individuals may defend themselves from falling prey to these frauds by increasing awareness about biometric fraud and encouraging recommended practices. This blog will discuss the necessity of increasing awareness and present practical recommendations to help Purnia prevent biometric fraud. Here are some tips that one can follow;

Securing personal Biometric data: It is crucial to safeguard personal biometric data. Individuals should be urged to secure their fingerprints, face scans, and other biometric information in the same way that they protect their passwords or PINs. It is critical to ensure that biometric data is safely maintained and shared with only trustworthy organisations with strong security procedures in place.
Verifying Service providers: Residents should be vigilant while submitting biometric data to service providers, particularly those providing financial services. Before disclosing any sensitive information, it is important to undertake due diligence and establish the validity and reliability of the organisation. Checking for relevant certificates, reading reviews, and getting recommendations can assist people in making educated judgments and avoiding unscrupulous companies.
Personal Cybersecurity: Individuals should implement robust cybersecurity practices to reduce the danger of biometric fraud. This includes using difficult and unique passwords, activating two-factor authentication, upgrading software and programs on a regular basis, and being wary of phishing efforts. Individuals should also refrain from providing personal information or biometric data via unprotected networks or through untrustworthy sources.
Educating the Elderly and Vulnerable Groups: Special attention should be given to educating the elderly and other vulnerable groups who may be more prone to scams. Awareness campaigns may be modified to their individual requirements, emphasising the significance of digital identities, recognising possible risks, and seeking help from reliable sources when in doubt. Empowering these populations with knowledge can help keep them safe from biometric fraud.

Measures to Stay Ahead

As biometric fraud is a growing concern, staying a step ahead is essential. By following these simple steps, one can safeguard themselves.

Multi-factor Authentication: MFA is one of the best methods for security. MFA creates multi-layer security or extra-layer security against unauthorised access. MFA incorporates a biometric scan and a password.
Biometric Encryption: Biometric encryption securely stores and transmits biometric data. Rather than keeping raw biometric data, encryption methods transform it into mathematical templates that cannot be reverse-engineered. These templates are utilised for authentication, guaranteeing that the original biometric information is not compromised even if the encrypted data is.
AI and Machine Learning (ML): AI and ML technologies are critical in detecting and combating biometric fraud. These systems can analyse massive volumes of data in real-time, discover trends, and detect abnormalities. Biometric systems may continually adapt and enhance accuracy by employing AI and ML algorithms, boosting their capacity to distinguish between legitimate users and fraudulent efforts.

Conclusion

The Biometric fraud call needs immediate attention to protect the bankers from the potential consequences. By creating awareness, we can save ourselves; additionally, by working together, we can create a safer digital environment. The use of biometric verification was inculcated to increase factor authentication for a banker. However, we see that the bad actors have already started to bypass the tech and even wreak havoc upon the netizens by draining their accounts of their hard-earned money. The banks and the cyber cells nationwide need to work together in synergy to increase awareness and safety mechanisms to prevent such cyber crimes and create effective and efficient redressal mechanisms for the citizens.

Reference

https://www.hindustantimes.com/cities/patna-news/purnia-emerges-as-cyber-fraud-hotspot-as-biometric-data-used-for-online-swindling-police-arrest-17-and-recover-cloning-equipment-1016841669436

Combating Election Dis/Misinformation In The USA

December 6, 2024

Introduction

Election misinformation poses a major threat to democratic processes all over the world. The rampant spread of misleading information intentionally (disinformation) and unintentionally (misinformation) during the election cycle can not only create grounds for voter confusion with ramifications on election results but also incite harassment, bullying, and even physical violence. The attack on the United States Capitol Building in Washington D.C., in 2021, is a classic example of this phenomenon, where the spread of dis/misinformation snowballed into riots.

Election Dis/Misinformation

Election dis/misinformation is false or misleading information that affects/influences public understanding of voting, candidates, and election integrity. The internet, particularly social media, is the foremost source of false information during elections. It hosts fabricated news articles, posts or messages containing incorrectly-captioned pictures and videos, fabricated websites, synthetic media and memes, and distorted truths or lies. In a recent example during the 2024 US elections, fake videos using the Federal Bureau of Investigation’s (FBI) insignia alleging voter fraud in collusion with a political party and claiming the threat of terrorist attacks were circulated. According to polling data collected by Brookings, false claims influenced how voters saw candidates and shaped opinions on major issues like the economy, immigration, and crime. It also impacted how they viewed the news media’s coverage of the candidates’ campaign. The shaping of public perceptions can thus, directly influence election outcomes. It can increase polarisation, affect the quality of democratic discourse, and cause disenfranchisement. From a broader perspective, pervasive and persistent misinformation during the electoral process also has the potential to erode public trust in democratic government institutions and destabilise social order in the long run.

Challenges In Combating Dis/Misinformation

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Platform Limitations: Current content moderation practices by social media companies struggle to identify and flag misinformation effectively. To address this, further adjustments are needed, including platform design improvements, algorithm changes, enhanced content moderation, and stronger regulations.

Speed and Spread: Due to increasingly powerful algorithms, the speed and scale at which misinformation can spread is unprecedented. In contrast, content moderation and fact-checking are reactive and are more time-consuming. Further, incendiary material, which is often the subject of fake news, tends to command higher emotional engagement and thus, spreads faster (virality).

Geopolitical influences: Foreign actors seeking to benefit from the erosion of public trust in the USA present a challenge to the country's governance, administration and security machinery. In 2018, the federal jury indicted 11 Russian military officials for alleged computer hacking to gain access to files during the 2016 elections. Similarly, Russian involvement in the 2024 federal elections has been alleged by high-ranking officials such as White House national security spokesman John Kirby, and Attorney General Merrick Garland.

Lack of Targeted Plan to Combat Election Dis/Misinformation: In the USA, dis/misinformation is indirectly addressed through laws on commercial advertising, fraud, defamation, etc. At the state level, some laws such as Bills AB 730, AB 2655, AB 2839, and AB 2355 in California target election dis/misinformation. The federal and state governments criminalize false claims about election procedures, but the Constitution mandates “breathing space” for protection from false statements within election speech. This makes it difficult for the government to regulate election-related falsities.

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CyberPeace Recommendations

Strengthening Election Cybersecurity Infrastructure: To build public trust in the electoral process and its institutions, security measures such as updated data protection protocols, publicized audits of election results, encryption of voter data, etc. can be taken. In 2022, the federal legislative body of the USA passed the Electoral Count Reform and Presidential Transition Improvement Act (ECRA), pushing reforms allowing only a state’s governor or designated executive official to submit official election results, preventing state legislatures from altering elector appointment rules after Election Day and making it more difficult for federal legislators to overturn election results. More investments can be made in training, scenario planning, and fact-checking for more robust mitigation of election-related malpractices online.
Regulating Transparency on Social Media Platforms: Measures such as transparent labeling of election-related content and clear disclosure of political advertising to increase accountability can make it easier for voters to identify potential misinformation. This type of transparency is a necessary first step in the regulation of content on social media and is useful in providing disclosures, public reporting, and access to data for researchers. Regulatory support is also required in cases where popular platforms actively promote election misinformation.
Increasing focus on ‘Prebunking’ and Debunking Information: Rather than addressing misinformation after it spreads, ‘prebunking’ should serve as the primary defence to strengthen public resilience ahead of time. On the other hand, misinformation needs to be debunked repeatedly through trusted channels. Psychological inoculation techniques against dis/misinformation can be scaled to reach millions on social media through short videos or messages.
Focused Interventions On Contentious Themes By Social Media Platforms: As platforms prioritize user growth, the burden of verifying the accuracy of posts largely rests with users. To shoulder the responsibility of tackling false information, social media platforms can outline critical themes with large-scale impact such as anti-vax content, and either censor, ban, or tweak the recommendations algorithm to reduce exposure and weaken online echo chambers.
Addressing Dis/Information through a Socio-Psychological Lens: Dis/misinformation and its impact on domains like health, education, economy, politics, etc. need to be understood through a psychological and sociological lens, apart from the technological one. A holistic understanding of the propagation of false information should inform digital literacy training in schools and public awareness campaigns to empower citizens to evaluate online information critically.

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Conclusion

According to the World Economic Forum’s Global Risks Report 2024, the link between misleading or false information and societal unrest will be a focal point during elections in several major economies over the next two years. Democracies must employ a mixed approach of immediate tactical solutions, such as large-scale fact-checking and content labelling, and long-term evidence-backed countermeasures, such as digital literacy, to curb the spread and impact of dis/misinformation.

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Sources

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Colorado’s Special Session and the Future of Algorithmic Accountability: Lessons for India

Introduction

The Colorado Artificial Intelligence Act

What This Means for India

Lessons for India

Conclusion

References

Related Blogs

The Brushing Scam

CyberPeace Insights

References

Introduction

The Backdrop

Modus Operandi unveiled

Investigation Insight

Impact of biometric Cloning scam

Raising Awareness

Measures to Stay Ahead

Conclusion

Reference

Introduction

Election Dis/Misinformation

Challenges In Combating Dis/Misinformation

CyberPeace Recommendations

Conclusion

Sources

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