Schedule 6 – Knowledge Partnership Guidelines

This Schedule outlines the guidelines for entities wishing to engage in knowledge partnerships with the Indian Society of Artificial Intelligence and Law (ISAIL.IN). These guidelines are designed to facilitate collaboration, knowledge sharing, and capacity building while ensuring alignment with ISAIL.IN's objectives and ethical standards.

   (1)         Partnership Framework:

(a)  Identification of Partners: Potential partners may include:

(i) academic & R&D institutions,

(ii) companies and incubation centres,

(iii) research labs,

(iv) industry associations,

(v) not-for-profit organisations and

(vi) governmental organisations that align with ISAIL.IN's mission of AI standardisation.

(b)  Documentation: Maintain records of partnership activities, including contributions and outcomes from all parties involved.

(c)  Reporting: Utilise a reporting framework to assess the effectiveness of partnerships and share insights with stakeholders on a discretionary basis.

(d) Relationship: Nothing in this Schedule shall create a relation of principal and agency between the parties. Under all circumstances, both the parties, i.e., ISAIL.IN and the respective Knowledge Partner shall deal with each other only on principal-to-principal basis.

  (2)         Scope of Knowledge Partnerships

(a)  Facilitator of Collaborative Forums

(i)   ISAIL.IN may organise dialogues, roundtables, or committee sessions where members and external experts can present and discuss their research findings or technical demonstrations.

(ii)  ISAIL.IN’s role is to host and moderate sessions, ensuring balanced representation and compliance with Charter guidelines.

(b)  Aggregator and Curator of Knowledge and Data

(i)    ISAIL.IN may maintain a central repository of publicly accessible technical documentation received from Knowledge Partners, researchers and stakeholders under the AiStandard.io Alliance, as may be required with appropriate public access licenses, including but not limited to the CC BY-NC-ND license under Creative Commons.

(ii)   ISAIL.IN ensures proper accreditation and adherence to IP and confidentiality rules but does not itself conduct any primary research.

(c)  Neutral Conduit for Stakeholder Insights

(i)    By bringing together various stakeholders and partners including researchers, startups, social enterprises, etc., ISAIL.IN acts as a neutral conduit, collating perspectives on regulatory, commercial, technical, and ethical imperatives for AI.

(ii)   ISAIL.IN can synthesise overarching themes or policy points in publicly available Outcome Documents under the AiStandard.io Alliance in line with the terms of this charter and The Bharat Pacific Charter.

(d)  Facilitation of Good-Faith Discussions

(i)    ISAIL.IN creates opportunities for candid, good-faith discussions to help Individual & Alliance Members refine their own research questions and share solutions, both technical and policy-based.

(e)  Capacity Building Initiatives

(i)    ISAIL.IN may conduct training symposiums designed to enhance participants' skills in AI technologies, policy, industry practices, and legal frameworks as a neutral conduit or a standard-setting body in line with the terms of the AiStandard.io Charter to further the goals of the Alliance. These symposiums will provide a platform for third-party vendors as Partners to offer specialised training programs tailored to address current challenges and opportunities within the AI landscape. The training programmes may cover a range of topics, including but not limited to:

(1)         AI Policy Development

(2)         Industry Applications

(3)         Legal and Economic Frameworks

(ii)   Participants will have the opportunity to engage in hands-on workshops, case studies, and expert-led discussions. The outcomes of these symposiums will be documented to assess their impact on participants' knowledge and skills.

(f)   Awareness Initiatives

(i)    In alignment with the Bharat Pacific AI Principles, ISAIL.IN may support initiatives aimed at promoting awareness of ethical AI practices within communities. Activities may include:

(1)         Community-participating Surveys

(2)        Public Awareness Campaigns

(ii)   Through these initiatives, ISAIL.IN aims to raise awareness about the significance of ethical considerations in AI development and usage while adhering to The Bharat Pacific AI Principles of AI Standardisation.

(g)  Periodic “Knowledge Summits”

(i)    ISAIL.IN can organize Summits or Roundtables where organisations may present AI findings or pilot projects with a view to shaping regulatory or ethical discourse.

(ii)   Summaries and non-technical briefs can be disseminated to members, sustaining a knowledge exchange culture.

  (3)         Structures and Processes

(a)  Establishing “Knowledge Partner” Agreements

(i)    ISAIL.IN may enter into memorandums of understanding or collaboration agreements with organisations that commit to sharing research materials and expertise while respecting each party’s confidentiality boundaries.

(b)  Use of Existing Alliance Committees

(i)    Knowledge partnerships can be channelled through technical committees such as the Policy Innovation Committee, AI Development Committee, or Representation Committees (e.g., ECC, RLCC, TAC).

(ii)   ISAIL.IN liaises with relevant committees, organises meeting agendas (per Article 8), and documents findings (per Article 9).

(c)  Documenting and Disseminating Outputs

(i)    As per Schedule 2, ISAIL.IN can circulate outcome documents summarising discussions, best practices, or policy considerations.

(ii)   These official documents do not represent ISAIL.IN’s original research view or legal / policy position but rather an aggregated view of stakeholder inputs.

  (4)         Intellectual Property and Confidentiality

(a)  Respect for IP Rights

(i)    ISAIL.IN’s knowledge partnership framework must clarify the status of ownership of any research or innovative output.

(ii)   ISAIL.IN merely hosts and distributes permissible summaries or references with due attribution, as may be necessary or required.

(b)  Clear Confidentiality Boundaries

(i)    Confidential or sensitive data used in research is not to be shared publicly by ISAIL.IN. Such materials are exchanged under NDAs or limited access protocols.

(ii)   ISAIL.IN’s involvement is restricted to signing or facilitating co-sign agreements, providing disclaimers, and ensuring compliance with the Charter’s anti-corruption and confidentiality obligations.

  (5)         Compliance and Monitoring

(a)  Annual Review of Partnerships

(i)    Each year, the Governing Body or the Secretariat reviews the effectiveness and alignment of knowledge-partnership activities with the Alliance’s objectives, as specified in the Charter.

(ii)   Partnerships found misaligned or breaching guidelines may be subjected to revision or cessation.

(b)  Reporting Obligations

(i)    ISAIL.IN regularly updates the Alliance on the status of knowledge-partner collaborations through written briefs.

(ii)   Incubators, research entities, and other knowledge partners provide periodic progress reports in line with the Charter’s documentation requirements.

(c)  Anti-Bribery and Conflict of Interest Compliance

(i)    All knowledge-partner interactions must respect Article 31.

(ii)   Potential conflicts of interest are disclosed, ensuring no undue influence on the neutrality of ISAIL.IN’s knowledge facilitation role.

(d)  Branding, Outreach, and Public Communication

(i)    Use of ISAIL.IN Branding

 (1)  Any mention of ISAIL.IN as a knowledge partner must follow Article 25, requiring pre-approval for co-branded materials and correct use of ISAIL.IN logos.

 (2) Partners may cite ISAIL.IN’s role as a facilitator or aggregator, ensuring disclaimers clarify that ISAIL.IN does not produce the research itself.

(ii)   Public Statements and Dissemination

(1) Partners referencing ISAIL.IN’s knowledge-partner role in press releases, media engagements, or public statements must adhere to Articles 29–30.

(2)  ISAIL.IN-appointed spokespersons coordinate any official remarks on joint knowledge outputs or events.