Due to the extreme hypocrisy of bots on various digital media platforms continually asking humans to prove they are not bots, a major technological change is required.
Preamble:
In recognition of the increasing reliance on artificial intelligence and automated systems in verifying human identity, this law establishes clear boundaries to ensure that only humans can determine the authenticity of other humans. This is to protect individual rights, prevent misuse of technology, and uphold the integrity of human interactions.
Article 1: Definition of Terms
1. “Human” refers to any individual with biological characteristics typical of Homo sapiens.
2. “Bot” refers to any automated system or software designed to perform tasks typically executed by a human, especially in communication and verification processes.
3. “Human Verification” is the process by which an individual confirms the identity of another individual as a human.
Article 2: Prohibition of Bot-Led Verification
1. No bot shall be permitted to conduct any form of human verification, including but not limited to asking individuals to prove their humanity.
2. Any entity found utilizing bots for the purpose of human verification shall face penalties, including dismantling of such systems.
Article 3: Human Oversight Requirement
1. Only designated human representatives are authorized to verify the identity of individuals claiming to be human.
2. Verification processes must include direct interaction with a human verifier, ensuring personal engagement and accountability.
Article 4: Enforcement and Compliance
1. Regulatory bodies shall be established to oversee compliance with this law.
2. Entities found in violation will be subject to fines, mandatory cessation of bot operations, and potential criminal charges against responsible parties.
Article 5: Exceptions
1. This law does not apply to private communications or interactions that do not involve verification processes.
2. Emergency situations where immediate verification is necessary may allow for temporary measures, subject to review.
Analysis of Ramifications
Allowing only humans to verify whether others are human, effectively banning bots from this process, would have several significant ramifications:
1. Enhanced Security: Human verification can reduce the risk of automated attacks, such as spam and phishing, by ensuring that only genuine users can confirm identities. This could lead to a decrease in malicious bot activity on platforms.
2. Improved User Experience: By eliminating frustrating CAPTCHA tests and automated verification prompts, users may enjoy a smoother and more engaging experience on digital platforms. This could lead to higher user satisfaction and retention rates.
3. Increased Accountability: Human verifiers would be responsible for ensuring authenticity, which could lead to greater accountability in online interactions. This might help mitigate issues related to harassment or misinformation.
4. Potential for Abuse: While human verification can enhance security, it also opens the door for potential biases or discrimination in the verification process. Human verifiers may inadvertently favor certain demographics over others.
5. Resource Allocation: Organizations would need to allocate resources for training and employing human verifiers, which could increase operational costs. This may also require the development of new systems for managing human verification processes.
6. Challenges with Scalability: As user bases grow, relying solely on humans for verification may pose scalability challenges. There could be delays in processing verifications, especially during peak times.
7. Impact on Bots: Banning bots from verification roles could lead to an increase in bot-driven activities elsewhere, as they adapt to circumvent new restrictions. This might shift the landscape of bot behavior rather than eliminate it.
8. Legal and Ethical Considerations: Implementing such a law may raise legal and ethical questions regarding privacy, consent, and the rights of users versus the rights of automated systems.
9. Innovation in Verification Technologies: The demand for effective human verification could spur innovation in technologies that enhance identity verification without compromising user experience, such as biometric systems or behavioral analysis.
10. Public Trust Issues: Users might become skeptical of the motives behind such a law, questioning whether it is truly about security or if it serves other interests, potentially leading to distrust in digital platforms.
The Human Filter Law of 2026 aims to safeguard human interactions in an increasingly automated world, ensuring that only humans are responsible for verifying humanity in others. This law emphasizes the importance of personal engagement and accountability in an era dominated by technology. While limiting verification to humans could enhance security and user experience, it also presents challenges related to scalability, resource allocation, potential biases, and public trust. Balancing these factors will be crucial for successful implementation.
Read More
[1] https://www.jobylon.com/blog/eu-ai-act-what-hr-teams-need-to-know
[2] https://www.sanctionscanner.com/blog/6-identity-verification-methods-272
[3] https://www.nortonrosefulbright.com/en-de/knowledge/publications/a473a1c1/artificial-intelligence-regulation
[4] https://incode.com/use-cases/human-verification/
[5] https://digitalfreedomfund.org/cjeu-says-upload-filters-must-respect-user-rights-but-what-if-they-dont/
[6] https://kzero.com/resources/guides/authentication/captcha/
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[9] https://ai-act-law.eu
[10] https://www.verifiedvisitors.com/knowledge-centre/what-is-anti-bot-verification-and-how-does-it-work
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[12] https://www.humansecurity.com/learn/blog/human-challenge-the-frictionless-captcha/
[13] https://approov.io/blog/are-you-human-robot-or-just-impatient
[14] https://datadome.co/guides/captcha/traditional-captcha-obsolete/
[15] https://blog.checkpoint.com/security/verify-you-are-human-so-we-can-steal-your-credentials/
[16] https://community.openai.com/t/does-anyone-know-why-i-have-to-be-verified-as-human-for-every-conversation-and-each-verification-is-10-actions-is-it-purposely-trying-to-reduce-the-efficiency-of-my-use/398467