An international online scientific conference bringing together researchers, managers and decision-makers, dedicated to the key management challenges in the era of agentic AI — from oversight of autonomous systems, through algorithmic ethics and accountability, to new leadership competencies.
Scientific conference · 13 July 2026
Management in the Age of AI (MAIA 2026)
Beyond automation: managing agentic AI, autonomous systems and the human
organisation in the era of intelligent agents
13 July 2026 · 8:00 AM–6:00 PM Online · Google Meet Working language · English Free of charge · registration required
About the event
What is MAIA 2026?
Dissemination of results
Scientific monograph
(peer-reviewed chapters)
Organiser
University College of Professional Education
Institute of Management and Quality Sciences
Participants
Who is it for?
Researchers and academics working in management, AI and organisation
Managers and business practitioners
Representatives of public institutions and regulators
The academic and business community interested in management in the AI era
International university partners
Programme
Presentation topics
01
From automation to autonomy — how agentic AI is transforming operational management models
02
Human oversight of intelligent agents — accountability frameworks in the AI era
03
Real-time decision-making — when algorithms act faster than managers
04
Managing hybrid teams of humans and AI agents — new leadership competencies
05
Algorithmic ethics and fairness — challenges for HR strategy and diversity management
06
AI in supply chain management — autonomous planning and optimisation systems
07
The transformation of middle management — between people and intelligent systems
08
Measuring the performance of AI-driven organisations — new indicators and metrics
09
Risk, security and business continuity in agentic systems
10
Regulation and legal compliance in the AI era — strategic implications of the EU AI Act for organisations
Discussion
Discussion panels
PANEL I
Will the manager of the future manage people or agents?
Format: moderated panel, 60–75 min | 4–5 panellists (researchers + practitioners)
PANEL II
Accountability without a face — who is responsible when AI makes a mistake?
Format: interdisciplinary panel, 75–90 min | 5–6 panellists (lawyer, AI ethicist, HR, regulator)