This conference addresses the rise of AI-driven decision-making within enterprises, focusing on ethical considerations, governance frameworks, and the transformative impact on business analytics. It explores how organizations can implement responsible AI practices that balance innovation with transparency, accountability, and social responsibility. The event highlights emerging leadership roles and policies required to govern algorithmic systems effectively in complex decision environments.
Structure and Sessions (Who Does What):
Organizing Committee: Crafts the conference agenda, selects expert speakers, and manages event logistics.
Keynote Speakers: Thought leaders in AI ethics, corporate governance, and business analytics offer foundational insights.
Session Chairs: Moderate sessions, facilitate discussions, and manage Q&A segments.
Presenters: Researchers, practitioners, and policy experts showcase case studies, frameworks, and the latest research.
Participants: Engage actively through interactive workshops and networking sessions.
Technical Review Committee: Reviews submitted abstracts and papers for quality and thematic suitability.
Participate and Contribute (Who Benefits):
Corporate Executives and Data Leaders: Understand how to govern AI-driven decision processes ethically.
Data Scientists and AI Practitioners: Learn best practices in ethical AI model design and deployment.
Governance and Compliance Specialists: Explore policy and regulatory frameworks for responsible AI use.
Academics and Researchers: Present research findings and contribute to academic publications.
Policy Makers and Social Scientists: Understand societal impacts of algorithmic decision-making.
Benefits:
Certificate of Participation awarded upon completion and feedback.
Commemorative momento recognizing participant contributions.
Abstracts and selected papers published in Scopus, CrossRef, Web of Science (WoS), Elsevier, and SCI-indexed journals.
Abstract Topics / Call for Papers (CFP) Tracks:
Ethical AI and Responsible Decision-Making
Governance Models for AI in the Enterprise
Transparency, Fairness, and Bias Mitigation
Impact of AI on Corporate Analytics and Strategy
Regulatory Compliance and AI Risk Management
Case Studies in Algorithmic Governance and Ethics
AI Leadership Roles and Organizational Change
Social Implications of Automated Decision-Making
Trust and Accountability in Algorithmic Systems
Future Innovations in Ethical AI Governance
Registration:
Online registration open to data scientists, business leaders, researchers, and students.
Clear guidelines and deadlines for abstract and paper submissions.
Access to live sessions, recordings, conference materials, certification, and publication opportunities.
Detailed Program Grid (2 Half Days, 9 AM to 1 PM)
Time
Day 1
Day 2
09:00 – 09:15
Opening Ceremony & Welcome Address
Recap of Day 1 & Opening Keynote
09:15 – 10:00
Keynote Session I: Ethics in AI-Driven Enterprise Decision-Making
Keynote Session III: Governance Frameworks and Policy
10:00 – 10:45
Technical Session I: Algorithmic Fairness and Bias Mitigation
Technical Session III: Risk and Compliance in AI Systems
10:45 – 11:00
Q&A and Networking Break
Q&A and Networking Break
11:00 – 11:45
Technical Session II: AI Leadership and Organizational Adaptation
Panel Discussion: Innovations and Future Challenges in AI Governance
11:45 – 12:30
Abstract Presentations and Case Studies
Technical Session IV: Social and Economic Impact of AI
12:30 – 13:00
Participant Feedback and Closing Remarks
Closing Ceremony & Certificate Distribution
This conference offers crucial insights into the ethical, governance, and strategic challenges of AI-driven decision-making for business analytics professionals, with certification and academic publishing avenues. Title:
