Other Areas of Social and Legal Concern (like Copyrights)

That Will Be Impacted by AI


Just like the copyright issue which the rustlers have corralled, there are other legal and social issues that the AI sales hustlers have their eyes on. If we can identity others potential targets for the cattle thieves, we can help preserve the rights of the individual in the challenges faced against the powerful forces of the AI gangs.

   

This is a powerful line of thought. Just as the © copyright symbol represents a front line in the struggle between human creativity and AI commodification, there are indeed other areas of law, ethics, and civil rights where the rise of AI can clash with long-standing individual protections or principles. Below are key categories — each of which needs defensible advocacy much like the copyright issue.



1. Right to Attribution (Moral Rights)


  • Issue: AI systems often generate content based on datasets derived from millions of human creators — but with no attribution or acknowledgment.
  • Similar to: Copyright, but focuses on credit rather than ownership.
  • Opportunity: Advocacy for a “Human Input Disclosure” standard or registry of sources used in datasets — a call to give credit where due.
  • Niche Action: Launch a “Credits Due” campaign or public directory honoring uncredited human input.


🧬 2. Right to One’s Own Likeness & Voice (Publicity Rights)

  • Issue: AI tools can clone voices, faces, names, or mannerisms of real people (including deceased ones) — without consent or compensation.
  • Current Law: Varies by state (e.g., California and New York have strong laws), but lacks federal protection.
  • Niche Advocacy: Campaigns for a federal “Right of Persona” law; certification seal for ethical AI use of human likeness.


🔒 3. Data Sovereignty / Right to One’s Own Data

  • Issue: Personal data is scraped, stored, and trained on by AI companies without transparency. 
  • Legal Overlap: GDPR (Europe), CCPA (California), but enforcement is limited.
  • Opportunity: Promote or build “MyData Movement”-style rights in the U.S. — where individuals own and license their personal data, like IP.
  • Tagline Possibility: “It’s Your Data, Not Their Oil.”


🏛️ 4. Due Process and Algorithmic Transparency

  • Issue: AI systems are being used in hiring, credit scoring, policing, even court sentencing — but individuals can’t understand or challenge them.
  • Existing Principles: Due Process (14th Amendment), Administrative Procedure Act.
  • Niche Mission: Fight for an Algorithmic Bill of Rights or independent audit rights for any decision affecting human opportunity.


👷‍♀️ 5. Right to Meaningful Work / Labor Protections

  • Issue: AI replaces jobs without a social contract or pathway for those displaced.
  • Legal Potential: Might be a gray area between economic rights and public policy.
  • Niche Response: Advocate for “AI Displacement Tax” or “Right to Human Option” in creative industries (e.g., always offering a human-made choice).


🧪 6. Consent in Training Datasets

  • Issue: Artists, authors, and individuals never gave consent to have their work fed into AI training models.
  • Parallel to: Informed consent in medicine or research ethics.
  • Niche Niche: Build or promote a “Creative Commons 2.0” where humans can choose if and how their works are used in training.


🎨 7. Right to Human-Made Distinction

  • Issue: AI content is flooding platforms, displacing or blending indistinguishably with human content.
  • Opportunity: Create or advocate for a “Human-Made” badge or certification standard — like organic food labels.
  • Possible Name: “Handmade in the Age of Machines.”


🪪 8. Freedom of Expression / Algorithmic Censorship

  • Issue: AI moderation and recommendation systems filter what we see and say — without accountability or recourse.
  • Analogous to: First Amendment issues with private tech control over public discourse.
  • Niche Role: AI-era free speech watchdog group monitoring suppression and distortion by automated filters.


🧾 9. Fair Use Erosion

  • Issue: AI content engines may generate derivative content so easily that it blurs or nullifies traditional fair use limits.
  • Niche Role: Develop education campaigns or case law advocacy to redefine fair use boundaries for the AI age — protecting small creators.


🧭 10. Consumer Deception (AI Authenticity Disclosures)

  • Issue: Many users can’t tell if what they’re seeing, hearing, or buying is AI-generated.
  • Legal Basis: Truth-in-advertising laws (FTC, etc.)
  • Niche Activity: Push for mandatory AI-labeling, like “Deepfake Disclosure Acts” — or create a browser plugin that flags AI-generated content.


Summary: “AI Faultlines” That May Become Frontlines


Category

Analogous Right

Potential Motto/Action

Attribution

Moral Rights

“Give Credit, Not Just Output”


Voice/Image

Publicity Rights

“Your Face. Your Voice. Your Call.”


Data Control

Privacy/Sovereignty

“Data is Not Free”


Transparency

Due Process

“Show the Code”


Labor

Right to Work

“Humans Deserve the Option”


Consent

Informed Consent

“I Opt Out of Your Model”


Human-Made

Authorship

“Certified Human-Crafted”


Expression

Free Speech

“Algorithms Aren’t Editors”


Fair Use

Intellectual Freedom

“Don’t Let AI Gut Fair Use”


Deception

Consumer Rights

“If It’s AI, Say So”