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ICODR Standards for AI in ODR Focus on Ethical and Practical Considerations for Using AI in Dispute Resolution Processes

ICODR (International Council for Online Dispute Resolution) standards for AI in ODR (Online Dispute Resolution) focus on ethical and practical considerations for using AI in dispute resolution processes. These standards emphasize human-centric values, privacy, accuracy, explainability, accountability, and adaptability, ensuring fair and impartial outcomes. 

Key Areas of ICODR AI Standards:

  • Human-Centric Values:ODR systems should prioritize human values, ensuring that AI is used to support and enhance, rather than replace, human decision-making. 
  • Privacy and Security:Robust measures must be in place to protect sensitive data, ensuring confidentiality and data control for all parties. 
  • Accuracy and Reliability:AI systems should be accurate and reliable, with mechanisms in place to identify and address potential errors or biases. 
  • Explainability and Transparency:Parties should understand how AI is used in the ODR process, including the data it relies on and the decisions it makes. 
  • Accountability:ODR providers must be accountable for the AI systems they use, including identifying and addressing potential harms. 
  • Adaptability:AI systems should be adaptable to evolving circumstances, including changes in technology, legal frameworks, and user needs. 

Further Considerations:

  • Accessibility:ODR systems should be accessible to all parties, including those with disabilities or limited technical skills. 
  • Competence:ODR providers should have the necessary expertise to use AI effectively and ethically. 
  • Confidentiality:ODR providers must make genuine efforts to maintain the confidentiality of party communications. 
  • Fairness and Impartiality:AI systems should not introduce bias or favor one party over another. 
  • Training and Education:ODR providers should be adequately trained on how to use AI ethically and effectively. 

Examples of AI Use in ODR:

In essence, ICODR’s AI standards provide a framework for integrating AI into ODR in a responsible and ethical manner, ensuring that AI serves to enhance the dispute resolution process while upholding human values and protecting the rights of all parties involved.. 

ICODR STANDARDS FOR ONLINE DISPUTE RESOLUTION

These ODR Standards apply to ODR practitioners and to technological platforms, systems, and tools when employed for dispute handling. They are interdependent and must be applied together. They can be useful for ODR software and system developers and to inform the public of requirements for ethical, technology-infused dispute resolution. Reference to “ODR” in the Standards includes people, entities, and technologies involved in implementing, hosting, or providing ODR services.

ODR Standards require that online dispute resolution platforms and processes must be:

1. Accessible
ODR must be easy for parties to find within a system and participate in and not limit their right to representation. ODR should be available in communication channels accessible to all the parties, minimize costs to participants, and be easily accessed by people with different types of abilities.

2. Accountable
ODR systems must be continuously accountable to the institutions, legal frameworks, and communities that they serve. ODR platforms must be auditable and the audit made available to users. This must include human oversight of: i) traceability of the originality of documents and of the path to outcome when artificial intelligence is employed, ii) determination of the relative control given to human and artificial decision-making strategies, iii) outcomes, and iv) the process of ensuring availability of outcomes to the parties.

3. Competent
ODR providers must have the relevant expertise in dispute resolution, legal, technical execution, language, and culture required to deliver competent, effective services in their target areas. ODR services must be timely and use participant time efficiently.

4. Confidential
ODR providers must make every genuine and reasonable effort to maintain the confidentiality of party communications in line with policies that must be articulated to the parties regarding i) who will see what data, ii) how and to what purposes that data can be used, iii) how data will be stored, iv) if, how, and when data will be destroyed or modified, and v) how disclosures of breaches will be communicated and the steps that will be taken to prevent reoccurrence.

5. Equal
ODR providers must treat all participants with respect and dignity. ODR must seek to enable often silenced or marginalized voices to be heard and strive to ensure that offline privileges and disadvantages are not replicated in the ODR process. ODR must provide access to process instructions, security, confidentiality, and data control to all parties. ODR must strive to ensure on an on-going basis that no process or technology incorporated into ODR provides any party with a technological or informational advantage due to its use of ODR. Bias must be proactively avoided in all processes, contexts, and regarding party characteristics. ODR system design must include proactive efforts to prevent any artificial intelligence decision-making function from creating, replicating, or compounding bias in process or outcome. Human oversight is required in ODR system design and auditing to identify bias, make findings transparent to ODR providers and users, and eliminate bias in ODR processes and outcomes.

6. Fair and Impartial
ODR must treat all parties equitably and with due process, without bias or benefits for or against individuals, groups, or entities. Conflicts of interest of providers, participants, and system administrators must be disclosed in advance of commencement of ODR services. The obligation to disclose such circumstances shall be a continuing obligation throughout the ODR process.

7. Legal
ODR providers must abide by, uphold, and disclose to the parties relevant laws and regulations under which the process falls.

8. Secure
ODR providers must make every genuine and reasonable effort to ensure that ODR platforms are secure and data collected and communications between those engaged in ODR are not shared with any unauthorized parties. Disclosures of breaches must be communicated along with the steps taken to prevent reoccurrence.

9. Transparent
ODR providers must explicitly disclose in advance and in a meaningful and accessible manner: i) the form and enforceability of dispute resolution processes and outcomes and ii) the risks, costs including for whom, and benefits of participation. Data in ODR must be gathered, managed, and presented in ways to ensure it is not misrepresented or out of context. The sources and methods used to gather any data that influences any decision made by artificial intelligence must be disclosed to all parties. ODR that uses artificial intelligence must publicly affirm compliance with jurisdictionally relevant legislation, regulations, or in their absence, guidelines on transparency and fairness of artificial intelligence systems. ODR must clearly disclose the role and magnitude of technology’s influence on restricting or generating options and in final decisions or outcomes. Audits of ODR systems and platforms must identify metrics used to assess system performance, making the accuracy and precision of these metrics known and accessible to any ODR system operator and user. Users must be informed in a timely and accessible manner of any data breach and the steps taken to prevent reoccurrence.

IMPLEMENTATION OF ODR STANDARDS

We recommend practitioners, platform and system designers, and managers of any form of online dispute resolution process commit to these ODR Standards. We encourage dispute resolution membership organizations and other entities–whether public or private–with responsibility for and/or authority over ODR-related processes, practices, and practitioners to incorporate these standards and create appropriate mechanisms for accountability and monitoring including through the examination of impacts of different technological designs and use across disputant demographics and case types.

© 2017 and May 2022, National Center for Technology and Dispute Resolution and International Council for Online Dispute Resolution

author

Colin Rule

Since 2020, Colin Rule is CEO of ODR.com, Inc. and Resourceful Internet Solutions, Inc., home of Mediate.com, MediateUniversity.com, Arbitrate.com and CaseloadManager.com.  From 2017 to 2020, Colin was Vice President for Online Dispute Resolution at Tyler Technologies. Tyler acquired Modria.com, an ODR provider that Colin co-founded, in 2017.  Previously, from 2003… MORE

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