Tag Archives: chatgpt

Who Owns ChatGPT-Generated Content?

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Copyright © 2025 Michael Herman (Bindloss, Alberta, Canada) – Creative Commons Attribution-ShareAlike 4.0 International Public License

Who owns the content that you create? Who owns the copyright? And what are the rights for reuse or for original publishing?

References:

ChatGPT: Perfect—here are all three, written in clean, legally practical language you can use immediately. These are structured to work for publishers, clients, and commercial contracts.


✅ 1. Publisher-Safe AI Disclosure Clause

(For books, articles, research, courses, or journalism)

Standard Neutral Disclosure (Recommended):

Portions of this work were developed with the assistance of artificial intelligence tools used for drafting, editing, and conceptual development. All final content, structure, interpretation, and conclusions were reviewed, directed, and approved by the author, who retains full responsibility for the work.

Strict Academic Disclosure:

Artificial intelligence tools were used solely as assistive drafting and editing instruments. All arguments, interpretations, data validation, and original contributions were independently verified and finalized by the author.

Commercial Publishing Friendly (Minimal):

This work was created using a combination of human authorship and AI-assisted drafting tools.


✅ 2. Commercial IP Warranty Clause

(For software, reports, designs, marketing assets, and IP transfer)

Strong Commercial Warranty (Recommended for B2B):

The Creator represents and warrants that, to the best of their knowledge after reasonable review, the delivered work is original, does not knowingly infringe any third-party intellectual property rights, and is free of intentional plagiarism. The Creator retains full rights to transfer ownership and grant licenses to the work.

AI-Specific Safe Addendum (Optional but Powerful):

Portions of the work may have been drafted using AI-assisted tools. The Creator affirms that all outputs were materially reviewed, edited, and curated by human authorship to ensure originality, compliance, and lawful reuse.


✅ 3. Client-Facing Ownership & Rights Clause

(For consulting, design, software, research, branding, creative services)

Full Buyout / Work-for-Hire Equivalent:

Upon full payment, all right, title, and interest in and to the delivered work, including all intellectual property rights therein, shall vest exclusively in the Client. The Creator retains no ownership interest except for portfolio display unless otherwise stated in writing.

License-Based Model (If You Want to Retain Core IP):

The Creator retains ownership of all underlying methodologies, systems, and pre-existing intellectual property. The Client is granted a perpetual, worldwide, royalty-free license to use, modify, and commercialize the delivered work.

AI Transparency Version (Modern Contracts):

The Client acknowledges that AI-assisted tools may have been used as part of the production workflow. All final deliverables are contractually guaranteed as original to the extent required under applicable law and are fully transferable as stated herein.


✅ Bonus: Platform-Neutral Rights Assertion (Optional Footer)

You can place this in reports, PDFs, and digital products:

© [Year] [Your Name or Entity]. All rights reserved. This work is original and may not be reproduced, redistributed, or sublicensed without express permission, except as permitted by law or written agreement.


⚖️ Practical Legal Strength Summary

Use CaseCovered
Books & Publishing✅ Yes
Software & SaaS✅ Yes
Consulting & Research✅ Yes
Marketing & Branding✅ Yes
Data Products & Reports✅ Yes
Client IP Transfers✅ Yes
Due Diligence / M&A✅ Yes

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Updated Principles of Self-Sovereign Identity 7.0 (DRAFT Proposal #2 – 20 Principles)

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Copyright © 2025 Michael Herman (Bindloss, Alberta, Canada) – Creative Commons Attribution-ShareAlike 4.0 International Public License

The original 10 principles from Christopher Allen’s 2016 “The Path to Self-Sovereign Identity” remain a powerful foundation. (Life with Alacrity)

But over the past decade — as digital identity systems have begun to be built, debated, and challenged — new insights from academic research, real-world deployments, regulation and evolving tech (e.g. decentralized identifiers, verifiable credentials, blockchains, privacy-preserving proofs) suggest that an updated, expanded set of principles — a new update for self-sovereign identity (SSI) — could better reflect both opportunities and risks. Below is a proposed revised and expanded collection of SSI principles, integrating the original 10 while adding new ones to address trust, accountability, usability, governance, and compliance.


✅ What remains — Core Timeless Principles (original 10, refined)

I believe the original 10 remain largely valid; we restate them with slight refinement for modern context:

  1. Existence (Human Primacy)
    The identity must be anchored in a real human being: digital identity cannot supplant the ineffable “I.” Systems should affirm human dignity and individuality. (Life with Alacrity)
  2. Control (User Authority & Autonomy)
    Individuals must remain the ultimate authorities over their identity data. They should be able to create, modify, hide, or revoke identity data under secure, well-understood mechanisms. (Life with Alacrity)
  3. Access (Transparency of Own Data)
    Users must have the ability to view (and where appropriate manage) all personal data and claims associated with their identity — no hidden data silos or gatekeepers. (Life with Alacrity)
  4. Transparency (Open Systems & Algorithms)
    Identity systems, their governance, and the algorithms they rely on must be open, auditable, and as independent as possible from centralized authority. (Life with Alacrity)
  5. Persistence (Longevity & Continuity)
    Identities should persist over time — ideally as long as the user desires — even if credential issuers or platforms change, while still respecting a user’s right to delete or abandon an identity. (Life with Alacrity)
  6. Portability (Mobility & Transferability)
    Identity data and claims must be transportable across platforms, jurisdictions, devices — not locked into any one vendor, provider, or ecosystem. (Life with Alacrity)
  7. Interoperability (Cross-system & Cross-jurisdiction Usability)
    Identities should work broadly across different systems, platforms, borders — enabling global, cross-context recognition while preserving user control. (Life with Alacrity)
  8. Consent (Informed & Explicit Consent for Sharing)
    Any sharing or use of identity data must occur only with the individual’s informed and explicit consent. Consent mechanisms should be clear, user-friendly, and revocable. (Life with Alacrity)
  9. Minimalization (Data Minimization & Selective Disclosure)
    Only the minimum required data should be disclosed for a given purpose (e.g. proving “over 18” without revealing date of birth). Use of selective-disclosure, zero-knowledge proofs, or cryptographic safeguards is encouraged. (Life with Alacrity)
  10. Protection (Privacy, Security & Rights Safeguards)
    Users’ rights must be protected; identity systems must defend against abuse, resist censorship and coercion, secure data, and guard against identity theft or misuse. (Life with Alacrity)

➕ New Principles for SSI 7.0

Based on developments over the past decade — from academic critiques, real-world SSI schemes, regulatory pressures, and evolving threat models — I propose adding the following principles to make SSI more robust, practical, and trustworthy in modern contexts.

  1. Accountability & Auditability
    While decentralization and user control are central, identity systems must also provide mechanisms for accountability — for misuse, fraud, or disputes. This may include revocation registries, audit logs, and cryptographic or institutional mechanisms that allow for tracking misuse without compromising user privacy. This balances user sovereignty with real-world responsibilities. For example, a recent SSI scheme augments privacy with joint accountability using threshold-based methods to prevent attacks while preserving user control. (arXiv)
  2. Security & Resilience by Design
    SSI should rely on strong cryptographic foundations, resistance to key-compromise, replay or correlation attacks, and design for long-term resilience (including key recovery, revocation, migration, and backup). Academic surveys highlight that trust in SSI is still “complex and fragmented,” and robust security architecture is essential. (arXiv)
  3. Privacy by Default & Contextual Confidentiality
    Beyond minimal disclosure, SSI systems should default to maximum privacy: user wallets, metadata protection, unlinkability across contexts, selective disclosure by default, and privacy-preserving authentication (e.g. zero-knowledge proofs, anonymous credentials). This becomes more critical especially with cross-platform and cross-jurisdiction use (e.g. in the context of the metaverse, or global Web3). (arXiv)
  4. Usability & Accessibility
    SSI must be practical for real people — across digital-literacy levels, devices, geographies — and not just for technologists. Identity wallets and management tools should be easy to use, resilient to device loss, data corruption, or jurisdictional changes. Also, cost and usability barriers must be minimized so that SSI remains inclusive (“available to all”). This is especially important for global adoption (e.g. for refugees, under-served populations). (Sovereign Cities)
  5. Governance & Community Stewardship
    Given SSI’s public-good dimensions (interoperability, privacy, security), there needs to be governance mechanisms — community, standard-bodies or decentralized governance — to steward protocols, resolve disputes, evolve standards, and ensure accountability. This ensures that identity systems remain aligned with human rights, collective interest, and social norms. Some proponents argue turning original principles into legally or socially codified “duties” rather than just “best practices.” (Life with Alacrity)
  6. Compliance & Ethical Legality
    SSI systems should respect applicable laws, human rights, data-protection regulations (e.g. privacy laws, nondiscrimination), and ethical norms — especially when deployed globally across jurisdictions. This principle helps bridge SSI with regulatory realities (e.g. GDPR) while preserving user sovereignty. Indeed, recent literature critiques SSI schemes on GDPR compliance. (arXiv)
  7. Recoverability & Continuity (Key/Access Loss Handling)
    Real people lose devices, forget credentials, or face emergencies. SSI must support mechanisms for recovery, transfer, or delegation — e.g. social recovery, multi-party escrow, recovery tokens — so that a user’s identity does not become irretrievably lost. This ensures persistence doesn’t become fragility.
  8. Minimal Trust Assumptions (Decentralization of Trust)
    SSI should minimize reliance on central trusted parties; trust should be distributed, protocol-based, cryptographically verifiable, and avoid single points of failure (or control). This strengthens autonomy and reduces governance risk.
  9. Transparency of Governance & Policy (Beyond Implementation)
    Not just open code, but also open governance: decisions, upgrades, policies for revocation, dispute resolution, credential issuance — should be transparent, documented, and participatory (ideally community-driven).
  10. Inter-Community and Social Interoperability (Normalization of Claims & Contexts)
    Beyond technical interoperability, identity systems should support semantic and social interoperability: standard vocabularies, claim schemas, norms for credential issuance and verification, recognition across communities/jurisdictions. This avoids fragmentation even in decentralized ecosystems.

🧑‍🤝‍🧑 Why these additions — What changed since 2016

  • The rise of decentralized identity implementations (DIDs, verifiable credentials, wallets, blockchain-based registries) has shown the importance of security, recoverability, privacy by default, and regulatory compliance.
  • Academic scrutiny (e.g. risk of misuse, identity theft, trust fragmentation, accountability) reveals that pure decentralization without accountability can be risky. (arXiv)
  • Real-world scenarios — global mobility, cross-jurisdiction identity, refugees, displaced people — demand usability, accessibility, portability, and social interoperability to make SSI inclusive and effective.
  • Legal/regulatory frameworks (e.g. privacy laws, data protection, anti-money laundering) increasingly intersect with identity systems — forcing SSI to consider compliance, ethicality, and governance. (arXiv)
  • As identity becomes central to emerging domains (e.g. Web3, metaverse, decentralized finance), there is a need for governance, community stewardship, transparent policy, and inter-community standards to avoid fragmentation and fragmentation-driven insecurity. (arXiv)

⚠️ Challenges & Trade-offs — Why SSI 7.0 must be “balanced and diversified”

Adding more principles inevitably creates tension — greater security and governance can come at the cost of simplicity or decentralization; accountability mechanisms risk undermining privacy; recoverability may introduce attack surfaces; compliance may conflict with anonymity. A robust SSI 7.0 must therefore balance these trade-offs, offering diversified principles so that implementers can make conscious, value-driven design choices depending on the context (e.g. voting, healthcare, travel, social networking).


📝 SSI 7.0 Principles Proposal — Draft for Community Use

Here’s a draft list, which could serve as a starting point for community discussion, design, and standardization:

  1. Existence (Human Primacy)
  2. Control (User Authority & Autonomy)
  3. Access (Data Transparency to Users)
  4. Transparency (Open Systems & Algorithms)
  5. Persistence (Longevity & Continuity)
  6. Portability (Mobility & Transferability)
  7. Interoperability (Technical & Semantic)
  8. Consent (Informed, Explicit, Revocable)
  9. Minimalization (Data Minimization & Selective Disclosure)
  10. Protection (Privacy, Security & Rights Safeguards)
  11. Accountability & Auditability
  12. Security & Resilience by Design
  13. Privacy by Default & Contextual Confidentiality
  14. Usability & Accessibility
  15. Governance & Community Stewardship
  16. Compliance & Ethical Legality
  17. Recoverability & Continuity (Key/Access Loss Handling)
  18. Minimal Trust Assumptions (Decentralized Trust)
  19. Transparent Governance & Policy
  20. Inter-Community / Social Interoperability (Semantic & Contextual)

🎯 How This Might Be Used — Next Steps

  • Use this as a living framework: publish a draft “SSI 7.0 Principles” document (e.g. on GitHub) and invite contributions from technologists, regulators, civil-society, and end users — just as the 2025 revision project under the original author invites. (Life with Alacrity)
  • When designing or evaluating SSI systems (wallets, DIDs, credentials, revocation), use this expanded set to assess trade-offs — e.g. does this system meet privacy by default? Does it include recovery mechanisms? Is governance transparent?
  • For implementations in sensitive contexts (healthcare, refugees, KYC, cross-border identity) embed governance, compliance, accountability, and usability early — not as afterthoughts.

Reference: https://chatgpt.com/share/692bdce6-1b24-8008-812d-d9e55bae0f2c

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Reshuffle model applied to the mobile app ecosystem

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Copyright © 2025 Michael Herman (Bindloss, Alberta, Canada) – Creative Commons Attribution-ShareAlike 4.0 International Public License

Based on an October 10, 2025 conversation between Michael Herman and ChatGPT.

I feel the following doesn’t match 100% with what is presented in the book #Reshuffle but there are a few interesting tidbits.

Copyright © 2025 Michael Herman (Bindloss, Alberta, Canada) – Creative Commons Attribution-ShareAlike 4.0 International Public License


🧩 1. Background: What the “Reshuffle” Model Means

In the book Reshuffle, the core concept is that platforms continually reconfigure (“reshuffle”) the value chain — deciding:

  • Where to play (which layers of the ecosystem to own, open, or delegate)
  • How to win (by controlling key interfaces, user access, or data flows)

A reshuffle happens when a player changes the architecture of participation — shifting value, control, and power between ecosystem actors.


📱 2. Applying This to the Mobile App Ecosystem

Let’s consider the mobile ecosystem as layers (simplified):

LayerExamplesCurrent Gatekeepers
HardwareApple, Samsung, QualcommApple, Google
OS / RuntimeiOS, AndroidApple, Google
DistributionApp Store, Play StoreApple, Google
Payment / IdentityApple Pay, Google Pay, Sign in with AppleApple, Google
Apps / ServicesTikTok, Uber, SpotifyIndependent developers
User Relationships / DataAnalytics, Ads, Identity GraphsMeta, Google, Apple increasingly

🔀 3. What a “Reshuffle” Looks Like Here

A reshuffle model describes how control, innovation, or value capture moves between these layers. Here are several current and emerging reshuffles:

A. Reshuffle Downward (Re-integration)

Platform owners pull value back down toward themselves:

  • Apple limits tracking (ATT) → cripples ad networks → reclaims privacy and ad advantage.
  • Google moves privacy features into Android → weakens cross-app data collection.
  • Super apps (WeChat, Grab) integrate multiple mini-apps inside one shell → pull distribution away from OS-level stores.

🧭 Effect: Platforms reclaim data, monetization, and developer dependence.


B. Reshuffle Upward (Decentralization / Open APIs)

Some innovations push value upward to developers and users:

  • Progressive Web Apps (PWAs) bypass app stores.
  • Cross-platform frameworks (Flutter, React Native) reduce dependency on native SDKs.
  • Alternative app stores / sideloading (EU’s DMA) redistribute control.

🧭 Effect: Developers gain autonomy and flexibility, though discovery and monetization remain bottlenecks.


C. Reshuffle Laterally (New Platform Entrants)

New layers emerge, shifting boundaries:

  • AI agents / assistants become new distribution channels (e.g., OpenAI’s ChatGPT apps, Perplexity’s mobile UI).
  • Super app frameworks (e.g., Telegram mini-apps) become meta-platforms inside mobile OSes.
  • Wallet-based ecosystems (identity, crypto, digital goods) create cross-platform continuity.

🧭 Effect: Gatekeepers may lose user touchpoints to “meta-platforms” that sit on top of the OS.


⚙️ 4. A “Reshuffle Model Canvas” for Mobile Apps

ElementDescriptionExample
TriggerWhat changes the distribution of value or control?Regulatory changes (DMA), new tech (AI agents), shifts in user behavior
Anchor LayerWhich layer redefines the interface?OS, identity, or payments
Redistributed ValueWhat moves?Revenue, data, trust, discovery
New GatekeepersWho gains control?AI assistants, mini-app frameworks
Old GatekeepersWho loses control?App stores, SDK-based ad networks
User BenefitWhat improves for users?Choice, interoperability, integrated experience
Developer ImpactWhat improves or worsens?Distribution, economics, discoverability

🧠 5. Example: The “AI Agent Reshuffle”

In 2025 and beyond, an AI-driven reshuffle looks like this:

BeforeAfter
Users search for apps in App StoreUsers ask AI assistants to “book a taxi” or “edit a photo”
Developers fight for app visibilityAI intermediates app selection and invocation
App Store controls discoveryAI layer controls orchestration and recommendation
OS owns distributionAI owns user intent

🧭 Reshuffle Result: AI interfaces become the new “home screen.”
App stores become backend registries. The distribution and discovery value shifts to the AI layer.


🏁 6. Summary

A Reshuffle model for the mobile app ecosystem describes how power and value continually move among:

  • OS and hardware vendors (Apple, Google)
  • Developers and third-party ecosystems
  • New intermediaries (AI agents, super apps)
  • Regulators (mandating openness)

The model emphasizes layer-by-layer realignment — each “reshuffle” altering where innovation, value, and control reside.


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