Faculty Development Programme in AI & Arbitration

 Faculty Development Programme in AI & Arbitration (FDPAIA)    

A Professional Specialized Skill Training Program by Indian Arbitration Institution (IAI)

• Eligibility: Any Basic Qualification or any Formal Education with Graduation and any teaching or work experience.

• Total Fees: Rs. 8,000/-
  (Everything Included from Admission, Course Fees and Delivery of Certificate, no additional Fees Apart from it)

• Mode: Online

• Study Material:  Will be provided through Learning Dashboard/Portal

• Learning Type: Self Paced

• Duration:  3 Months (Preferably, but can be completed anytime as soon as you give the Exam)

• Enrollment:  Any Time, there is no Fixed Enrolment Date or Day. A candidate can choose any time and the enrolment will be processed real time.

• Exam: One Online Exam, MCQ and Subjective Type Questions of 100 Marks. Passing Marks 40%. If unsuccessful, you can give additional two attempts.

• Procedure: Fill the Apply Now Form →  Pay the Requisite Amount of Fees by Clicking Pay Now Button → Then Click on Payment Confirmation button and fill the form with all the Details → Then login to the Dashboard.

Course Overview

The convergence of Artificial Intelligence (AI) and Alternative Dispute Resolution (ADR) is fundamentally transforming legal education and dispute management. The Faculty Development Programme in AI & Arbitration (FDPAIA), organized by the Indian Arbitration Institution (IAI), is an advanced professional training curriculum designed specifically for academicians, legal educators, researchers, corporate trainers, and dispute resolution professionals. This programme bridges contemporary arbitral procedure with cutting-edge computational technologies, equipping educators with both theoretical foundations and pedagogical frameworks to teach, research, and evaluate modern technology-driven arbitration.

Participants will examine how algorithmic decision-support systems, large language models (LLMs), predictive analytics, and automated case management workflows integrate into domestic and international arbitration. The curriculum moves beyond basic digital dispute resolution concepts to dissect the core challenges of modern arbitration: algorithmic bias, deepfake digital evidence authentication, procedural due process, automated tribunal constitution, and machine-assisted arbitral award drafting.

Through an interdisciplinary approach, FDPAIA addresses the critical questions of whether AI tools compromise party autonomy, equal treatment, or the arbitrator's non-delegable duty to adjudicate. Participants will study the ethical governance benchmarks issued by global bodies, including the Silicon Valley Arbitration & Mediation Center (SVAMC) Guidelines, the EU AI Act’s categorization of high-risk legal tools, and emerging judicial directives across common-law jurisdictions.

Beyond technological literacy, this programme empowers educators with pedagogical modules, clinical teaching strategies, and research methodologies. Participants learn how to design advanced university syllabi, lead simulation-based moot arbitrations incorporating AI platforms, mentor student research, and produce scholarly publications in indexed dispute resolution journals. Certified by the Indian Arbitration Institution, the FDPAIA serves as a comprehensive professional development benchmark that aligns classroom teaching with the rapidly evolving realities of international arbitral practice.

Course Structure and Modules

The tentative modules are as follows:

Module 1: Foundations of Modern Arbitration and the Digital Paradigm

• Evolution of international commercial and domestic arbitration frameworks (UNCITRAL Model Law, New York Convention).

• Transition from Online Dispute Resolution (ODR) to algorithmic and AI-integrated arbitration.

• Fundamental arbitral principles under digital scrutiny: Party autonomy, equal treatment, and non-delegable judicial duties.

Module 2: Generative AI, Large Language Models, and Dispute Administration

• Mechanics of LLMs and generative tools in document review, disclosure, and witness statement analysis.

• Automated case indexing, transcript summarization, and translation in multilingual cross-border disputes.

• Critical appraisal of AI-assisted drafting: Submissions, procedural orders, and tribunal award drafting assistance.

Module 3: AI-Assisted Arbitrator Selection, Tribunal Support, and Predictive Analytics

• Predictive modeling for outcomes, cost estimations, and institutional panel matching algorithms.

• Algorithmic selection of arbitral tribunals: Conflict-checking, bias detection, and diversity analytics.

• Machine learning as a decision-support tool versus machine-led adjudication.

Module 4: Evidence Authentication, Deepfakes, and Cyberdefense in Arbitration

• Evidentiary challenges: Detecting AI-generated forgeries, synthetic audio, and deepfake documents.

• Blockchain, digital watermarking, and cryptographically verified trails of custody.

• Cybersecurity protocols, confidential data protection, and institutional compliance standards.

Module 5: Ethics, Due Process, and Regulatory Frameworks

• Analysis of the Silicon Valley Arbitration & Mediation Center (SVAMC) Guidelines on AI in Arbitration.

• Regulatory landscapes: EU AI Act classifications, high-risk legal scoring, and global institutional directions.

• Hallucinations, black-box algorithms, algorithmic bias, and implications for challenge or annulment of awards.

Module 6: Pedagogical Innovations, Curriculum Design, and Clinical ADR Teaching

• Developing future-ready law school curricula: Integrating AI tools into ADR and arbitration syllabi.

• Designing experiential simulations: AI-assisted mock arbitrations, hackathons, and virtual tribunal sessions.

• Assessing student competencies in technology-assisted drafting, evidence analysis, and ethical prompt design.

Module 7: Research Frontiers, Scholarly Publication, and Doctoral Mentorship

• Identifying cutting-edge research questions at the intersection of AI, law, and international arbitration.

• Empirical and socio-legal research methods for digital arbitration studies.

• Structuring scholarly research for Scopus/Web of Science indexed journals and guiding postgraduate/doctoral dissertations.

Importance of Doing this Course

Legal education is undergoing a rapid paradigm shift. Law schools and universities worldwide are revamping their curricula to prepare graduates for a tech-driven legal market. For faculty members and trainers, acquiring verifiable expertise in AI-integrated arbitration is an academic and professional necessity.

First, this course enables faculty members to modernize their teaching. Traditional ADR instruction often remains restricted to statutory provisions and paper-based procedures. By completing the FDPAIA, educators gain actionable frameworks to introduce students to digital disclosure, algorithmic evidence verification, and AI-enabled procedural management, elevating the market readiness of their students.

Second, the programme enhances academic career progression. Universities and accreditation bodies increasingly prioritize multidisciplinary faculty development, digital innovation, and specialized continuous professional training. Completing this program demonstrates institutional leadership, enabling faculty to design specialized electives, head institutional ADR centers, and successfully secure research grants.

Finally, the course addresses emerging ethical and scholarly dilemmas. Educators must navigate issues of academic integrity, AI hallucination in legal citations, and ethical boundaries for students entering dispute resolution. The FDPAIA provides clarity on regulatory guidelines and international standards, establishing participants as credible subject matter experts capable of contributing high-impact publications, institutional policy papers, and industry-oriented training programs.

Career Prospects

The Faculty Development Programme in AI & Arbitration opens diverse career pathways across academia, legal training, policy institutions, and commercial practice:

• Law Faculty and Academic Leadership: Qualifies educators for senior academic positions, including Professor, Associate Professor, Dean, or Director of ADR/Technology Law Centres at national and global law schools.

• Curriculum Specialists & Instructional Designers: Enables professionals to consult with universities, judicial academies, and bar councils to design innovative curricula and technology-focused ADR electives.

• Arbitration Institution Case Managers & Tech Advisors: Equips professionals for advisory roles in arbitral institutions seeking to deploy automated case workflows, algorithmic conflict checks, and secure hearing platforms.

• Corporate Trainers & Continuing Legal Education (CLE) Mentors: Prepares trainers to deliver corporate training modules, CLE workshops, and specialized masterclasses for law firms, general counsels, and chamber practitioners.

• Academic Researchers & Think Tank Fellows: Prepares researchers to lead funded projects, policy think tanks, and research labs focusing on justice-tech integration, automated dispute resolution, and international regulatory harmonisation.

• Arbitral Secretaries and ADR Practitioners: Provides dispute resolution practitioners with a distinguished technological edge to serve as tribunal secretaries or tech-proficient arbitrators handling high-value digital and cross-border commercial disputes.

Necessary Details

The Indian Arbitration Institution offers this faculty development program through a flexible, fully digital platform designed to accommodate the schedules of full-time academicians and working legal professionals.

Eligibility Applicants must hold:

• Any Basic Qualification or Formal Education with Graduation (in any discipline), along with any relevant teaching experience or general work experience.

This inclusive criterion welcomes university professors, assistant lecturers, adjunct instructors, research scholars, corporate legal trainers, litigators, and arbitration practitioners.

Total Fees The all-inclusive fee for the programme is Rs. 8,000/-. This single fee covers the complete program lifecycle: admission registration, complete digital study resources, portal access, examination assessment, and the physical printing and courier dispatch of the final completion certificate. There are no additional charges or hidden fees.

Mode and Study Material The programme is conducted entirely Online. Enrolled participants receive personalized login credentials to the IAI Learning Dashboard/Portal. High-quality, curated Study Material—including modules, readings, regulatory comparative tables, and sample simulation plans—is accessible directly through the portal for self-directed study.

Learning Type and Duration The program is completely Self-Paced. While designed with a recommended completion timeline of 3 Months, candidates enjoy complete scheduling autonomy. Learners may progress at their own speed and complete the certification as soon as they are ready to undertake the online examination.

Enrollment Enrollment remains open Any Time throughout the year. There are no rigid batch cutoffs, calendar deadlines, or semester delays. Admissions are processed in real time, granting immediate access upon verification.

Examination Structure The course concludes with One Online Exam totaling 100 Marks, comprising both Multiple Choice Questions (MCQs) and Subjective analytical questions.

• Passing Marks: 40%

• Re-attempt Facility: If a candidate is unable to clear the examination on their first attempt, they are entitled to two additional attempts at no additional cost.

Step-by-Step Procedure

1. Fill out and submit the official Apply Now Form on the IAI portal.

2. Pay the requisite fee of Rs. 8,000/- by clicking the Pay Now button.

3. Click the Payment Confirmation button and complete the submission form with transaction details.

4. Log into the Learning Dashboard to access the instructional modules and begin the course.