IHECIS2026 - Sciencesconf.org

beandeau>

OVERVIEW

The 6th IHEC of Sousse International Symposium, scheduled for April 17–18, 2026, invites researchers, academics, policymakers, industry leaders, and students to engage around the theme “Beyond Artificial: Redefining Intelligence, Creativity, and Human Potential for a Prosperous Future.” More than an academic gathering, the symposium serves as a dynamic platform for rethinking the role of artificial intelligence in shaping a human-centered future.

At the core of this theme is a reflection on the capacity of human beings to transcend the mere use of artificial intelligence and become its intellectual architects—by understanding it, mastering it, and intelligently guiding it toward an inclusive, sustainable, ethical, and prosperous future. In an era where AI increasingly influences economies, societies, and creativity, the symposium seeks to explore how human intelligence and creativity can coexist with, complement, and be enhanced by artificial systems.

Researchers will present cutting-edge studies that challenge traditional boundaries between human and machine intelligence. Policymakers will examine governance and regulatory frameworks that ensure responsible and ethical AI development, while industry leaders will share innovative practices for harnessing AI to drive performance and innovation without diminishing human value.

Students, as the innovators and leaders of tomorrow, will play a central role through active participation in discussions, interactive sessions, and exchanges that bridge academic theory with real-world applications.

Through inspiring keynote addresses, expert panels, and interdisciplinary dialogue, the symposium aims to connect ideas with action. By fostering collaboration across disciplines and sectors, it aspires to redefine intelligence and creativity in the age of AI and contribute meaningfully to building a prosperous, ethical, and human-driven future.

TOPICS

Finance tracks

Track 1: Augmented Portfolio Construction: The Human Intelligence Guiding Machine-Assisted Investment Decisions

This track examines the advanced integration of Artificial Intelligence (AI) into quantitative portfolio construction. Research focuses on the methodologies by which human financial architects design and parameterize learning algorithms to optimize risk-adjusted returns. Key contributions will explore the governance models that ensure ultimate intellectual control and strategic input from portfolio managers, moving beyond mere AI use toward human-driven system augmentation.

Track 2: Investor Psychology in the Algorithmic Era: Mastering Human Judgment When Facing Automation

This stream investigates the complex interplay between classic behavioral biases and the cognitive effects of algorithmic recommendations. Submissions should analyze how human financial agents mitigate or manipulate the influence of automated systems to retain critical judgment and non-consensus insight. The track welcomes empirical studies on the emergence of novel biases (e.g., algorithmic complacency) and frameworks for preserving human intuition as a source of market alpha.

Track 3: Hybrid Forecasting Models: Synthesizing Expert Domain Knowledge with AI Predictive Analytics

This track is dedicated to the development and empirical validation of hybrid human-AI models for financial forecasting. Emphasis is placed on mechanisms for explicitly encoding expert knowledge, contextual factors, and 'black swan' scenarios into AI architectures. The objective is to present superior predictive frameworks where human expertise serves as a necessary structural component and corrective force, driving model performance beyond purely data-driven automation.

Track 4: Quantifying Unstructured Drivers: Integrating Sentiment and Uncertainty Metrics into AI-Driven Performance Models

This Track addresses the challenge of translating intangible psychological and social factors, specifically market sentiment and economic uncertainty,into measurable features for AI consumption. Contributions should detail novel methodologies for human-led data engineering, including the extraction, validation, and weighting of these unstructured data sets. The goal is to demonstrate how human analytical insight directs algorithmic focus toward new, complex market drivers.

Responsible Direction of Intelligent Tools

This critical track explores the paramount role of human governance in actively shaping the societal impact of financial AI. Submissions should focus on regulatory, ethical, and design frameworks that mandate alignment of intelligent systems with principles of inclusivity, transparency, and sustainability. The core discussion revolves around how human agents control and enforce ethical guardrails within the AI lifecycle to ensure the technology serves long-term, prosperous, and equitable financial outcomes.

Track 6: AI-Driven Corporate Finance and Digital Transformation for Sustainable Value Creation

This track investigates how artificial intelligence, digital innovation, and sustainability imperatives are reshaping corporate finance at the firm level. In a world where technological disruption and the green transition are redefining competitive advantage, financial leaders must integrate data-driven insights, ESG principles, and intelligent systems into every aspect of corporate decision-making.

The track aims to develop a dialogue on how digital transformation and AI tools can empower firms to create sustainable financial value, enhance resilience, and align with global sustainability goals.

Accounting Tracks

Track 1: Carbon Accounting and Sustainability Intelligence

This track explores how accounting professionals can leverage artificial intelligence and data-driven tools to measure, report, and reduce corporate carbon footprints, aligning financial decision-making with sustainability goals. It highlights the integration of human creativity, judgment, and ethical responsibility with AI technologies to enhance ESG reporting, carbon accounting, and strategic environmental planning. Contributions may include innovations in sustainability measurement, assurance of AI-generated environmental data, predictive analytics for carbon reduction, and the role of accountants in driving a prosperous and sustainable future.

Track 2: Harnessing Artificial Intelligence to Redefine Ethical Tax Practice and Risk Management

This track explores how artificial intelligence is reshaping tax compliance and the fight against avoidance and evasion. It emphasizes the integration of AI tools with human judgment, ethics, and professional responsibility, highlighting strategies for practitioners to harness AI responsibly. Contributions may focus on predictive analytics, real-time monitoring, governance frameworks, and innovative approaches to building a fair, transparent, and resilient fiscal ecosystem.

Management tracks

Track 1: Augmented Leadership and Emotional Intelligence: The Human Prerogative in Guiding Intelligent Systems

This track focuses on the fundamental transformation of the leader's and manager's role in the face of AI integration. It investigates the emergence of augmented leadership, where data and algorithmic analysis serve as support, but do not replace, human decision-making. Submissions should analyze how managers must develop and exercise superior Emotional and Social Intelligence (EQ) to navigate complex, hybrid environments. Research will examine how humans leverage AI tools to enhance team performance while retaining the ethical authority and interpretive capacity necessary to steer organizations toward an inclusive and responsible future.

ORGANIZERS

The Institute of Higher Commercial Studies of Sousse (IHEC Sousse)

The Institute of Higher Commercial Studies of Sousse (IHEC Sousse) is a leading institution in higher education, renowned for its commitment to excellence in teaching, research, and community engagement. Established in 2002, the institute has continually fostered a dynamic academic environment that bridges theory and practice, equipping students to thrive in complex and competitive global markets. Mission IHEC’s mission is to prepare tomorrow's economic leaders distinguished by their effectiveness, performance, and proactivity. IHEC Sousse leverages highly qualified interdisciplinary teams, innovative pedagogy, and applied research tailored to the real-world demands of socio-economic stakeholders. Vision The IHEC of Sousse aspire to create an environment of excellence and personal development for all. IHEC Sousse is committed to fostering an inclusive atmosphere of collaboration, innovation, and mutual support, enabling every member: students, faculty, and administrative staff to realize their full potential and contribute positively to society.

LaREMFIQ (Laboratoire de Recherche en Économie, Management et Finance Quantitative)

LaREMFIQ (Laboratoire de Recherche en Économie, Management et Finance Quantitative) is a prominent research laboratory based in Sousse, Tunisia, affiliated with the University of Sousse. It specializes in multidisciplinary research across economics, management, and quantitative finance, addressing both theoretical frameworks and applied solutions to contemporary socio-economic issues. The laboratory is a hub for innovation and collaboration, bringing together researchers and practitioners to tackle challenges in areas like financial modeling, strategic management, and economic policy. With a focus on sustainability and regional development, LaREMFIQ contributes to advancing knowledge and supporting decision-making processes at both national and international levels, reinforcing its role as a leader in academic and applied research in Tunisia.

Privacy | Accessibility

CCSD

Loading...