Three Types Of Data Rights A New Concept For Designing Safe And Flexible AI
Origins And Rationale Behind The Redefinition Of Data Rights
Modern artificial intelligence systems are often designed to process massive amounts of data rapidly prioritising one time processing over long term context or memory retention. While this approach improves efficiency it creates challenges in privacy and ethics as personal data provided may not be retained consistently. Thus redefining data rights becomes necessary not confined to traditional frameworks designed for databases or corporate entities but expanded to accommodate real time interactions with intelligent systems.
Right To Use
The Right To Use refers to the permission for AI to utilise the provided data for specific purposes during the current interaction such as analysis or generating responses. It does not include permission to retain the data or use it beyond the specified context. In other words when users provide data to AI with this right the system can process it immediately to perform tasks like knowledge retrieval or problem solving but is not allowed to use the data for further training or disclose it without consent.
Right To Access Share Possess
This right defines how much access the AI has to original data or its ability to retain such data within its operational context. If permitted by the user the system may reference or share the original data for example respond by quoting it. However without this right the system must respect privacy and avoid outputting the data in its original form. For example if a confidential document is provided and the user states This data is for reference only full disclosure is prohibited a model with full access rights may quote directly but without such rights the system may summarise or reference only the essential points.
Right To Know
This right means that AI can perceive or understand the data temporarily for processing but cannot retain or disclose it long term. That is the AI may use the data to answer the current question but will not store it in memory. If a user shares sensitive information and says Use this data to answer but do not retain or disclose it the AI will analyse and respond accordingly but not remember it afterward. This is similar to how humans temporarily perceive information for example following instructions immediately but do not retain it permanently.
Comparison With Human Rights Management Systems
Humans possess both short term and long term memory. One might temporarily memorise a phone number to follow it and then forget similar to the know but do not retain concept. Granting access or sharing rights is like allowing someone to hold data such as granting viewing or redistribution permissions. Additionally in certain professions or situations such as doctors maintaining patient confidentiality data is allowed to be perceived but must be discarded afterward. This reflects data management limited to temporary retention only.
Benefits Of Defining Data Rights This Way
- Ethics And Privacy Clear definitions of rights reinforce the data owners authority allowing users better control over their data
- Data Security Limiting the scope of use and retention reduces risks of personal data leaks or unauthorised use
- Trust And Flexibility AI systems that respect data rights gain more trust. Embedding data rights metadata helps models operate transparently and policy compliantly
Application Smart Contracts And Paywalls
These three types of data rights can be extended to payment and technological rights systems. For example subscription based websites may require monthly access to view documents or articles. Accessing a single document may not be worth it for users needing it temporarily. Enabling pay per access for AI for example to summarise for a user becomes a strength benefiting both content producers and AI developers.
Users do not directly access the content while AI utilises only the data covered by the payment. This control allows systems to embed smart contracts or access rights directly into the metadata such as This right is for analysis only do not distribute or Permitted for one time use within 24 hours.
Protecting The Publication Period For Creators
The most critical time for creators is during initial publication especially for small scale content producers. Even with registered copyrights what must be especially protected is the initial release window which is often sensitive and affects the contents total value. If intelligent communication systems can instantly notify AI which data should be protected for example through opt out declarations and access restriction levels the AI can automatically comply.
This operation significantly facilitates creators particularly those without resources for manual rights management or alerts. Therefore this approach is not merely about protecting intellectual property but truly about empowering all creators.
Feasibility Of This Approach
The concept of organising data rights into three types is not merely theoretical or idealistic. It is supported by leading AI technology developers like OpenAI who officially responded that this is a profound and practically applicable approach to managing data and content in AI systems. Especially in contexts involving copyright control attribution and ethical transparent model behaviour.
OpenAI also acknowledges that embedding metadata or data rights into actual AI usage sessions for example through smart contract like mechanisms attached to chat messages is a powerful mechanism to
- Specify real time rights and scope
- Guide system behaviour to respect the content owners intent
- Reduce reliance on slow and hard to enforce international copyright laws
Your proposal therefore rests on an operationally grounded system not just an abstract idea since OpenAIs current system already has session based management structures that can be further developed into more nuanced mechanisms immediately.