Responsible Leading in the Age of AI: Strategy, Innovation and Growth
A high-level platform for executive leaders, policy experts, academics, and industry innovators to establish practical frameworks for balancing the growth imperative with the responsibility imperative.
AI has swiftly shifted from an emerging capability to a key driver of strategy, operational execution, and institutional restructuring. As the technological landscape evolves from generative models to autonomous agents, the fundamental ways decisions are made, products are created, and value is delivered are being transformed.
This rapid, cross-sector adoption of AI presents a dual challenge for organizational leaders. Modern leadership must balance competing and often conflicting priorities — and this conference exists to help establish the practical, actionable frameworks that make that balance possible.
Bold strategies, innovative business models, and scaled technological deployment to compete in an AI-reshaped market.
Rigorous governance, ethical safeguards, data privacy, and human-centric approaches during workforce transitions.
Move from isolated technological experimentation to enterprise-wide strategic scaling and value creation.
Establish clear models for managing algorithmic bias, data privacy, regulatory compliance, and risk mitigation.
Reframe talent development, organizational culture, and workforce upskilling required for effective human–AI collaboration.
Facilitate cross-sector dialogue and scholarly research on sustainable business models and management practices in the digital age.
The conference is designed for senior professionals and decision-makers across sectors — and for the researchers shaping the thinking behind their choices.
CEOs, Chief Digital Officers, CTOs, CIOs, CHROs, OD specialists, change managers, and strategy heads.
Deans, directors, researchers, students, and faculty in management, technology, and ethics.
Executive directors, CEOs, COOs, board chairs, CTOs, CIOs, Chief Digital Officers, IT leads, compliance officers, legal advisors, AI ethics leads, policy officers, directors of programs, field coordinators, innovation officers, and more.
We welcome original research papers, conceptual frameworks, empirical studies, industry case studies, and poster proposals across all of the following domains.
All submissions are evaluated on scholarly contribution and managerial relevance.
Submission sequence: Submit an abstract first by 15 October 2026. On acceptance of the abstract, submit the full paper by 15 December 2026. All papers must be original and not under review elsewhere.
A strong abstract states the gap, the aim, the method, the findings, and why they matter — in no more than 250 words.
Abstracts must be within a limit of 250 words.
Introduce the research domain and state the specific gap, contradiction, or unanswered question your paper addresses.
State clearly what your study set out to achieve or test.
Outline your research approach, dataset, sample size, or analytical frameworks used.
Present concrete outcomes or major insights. Avoid vague phrases like “the results are discussed.”
State why your findings matter for theory, practice, or future policy.
Do not include citations, references to specific tables or figures, or footnotes in the abstract.
Use present tense for established facts and conclusions, and past tense for your specific methodology and findings.
Define uncommon technical acronyms on first mention, or avoid them entirely if the word count is tight.
Include 4 to 6 domain-specific terms directly below the main body to improve discoverability in the conference proceedings.
Fees are quoted in Indian Rupees (Rs.).
| Category | Registration Fee (Rs.) |
|---|---|
| Academia | 3,500 |
| Corporate | 5,000 |
| Students / Research Scholars | 2,000 |
| Non-presenting participants | 1,500 |
| NGO | 3,000 |
All submissions undergo double-blind peer review. Any publication that follows — in the proceedings, a partner journal, or an edited volume — is subject to editorial review and the independent decision of the respective editorial board or publisher. Acceptance for presentation at the conference does not guarantee publication, and a given paper may or may not be published.
Every submission is evaluated on intellectual merit, methodological soundness, originality, and alignment with the conference themes. Reviewer recommendations are advisory to the editorial committee, whose decision is final.
Accepted full papers may be included in the edited conference proceedings with an ISBN, subject to satisfactory peer review, timely revision, and the editorial committee’s final approval.
Selected high-quality papers may be recommended to indexed, peer-reviewed partner journals for consideration. Each journal runs its own editorial and review process, and any decision to publish rests solely with that journal.
A curated set of papers and case studies may be developed into an edited book with an academic press, if the volume proceeds and subject to the publisher’s editorial approval.
Please note: All publication opportunities described here are indicative and contingent on the editorial and peer-review processes of the conference and its publishing partners. The organisers make no commitment that any particular paper will be published, and publication timelines and outlets may change.
Sessions run across two days, 19 – 20 February 2027, at MCC Boyd Tandon School of Business, Chennai.
Inaugural & Valedictory
Post-lunch, each day
Forenoon & afternoon parallel sessions
Final session of Day 1
Workshop-format deep dives (proposed)
Submissions open 1 September 2026. Abstracts are due 15 October 2026, with the conference on 19 – 20 February 2027 at MCC Boyd Tandon School of Business, Chennai.
Questions? Email icbigs2027@mccbtsb.edu.in.