The conference will cover a large variety of topics, including, without limitation:

• Artificial Intelligence in Leadership and Decision-Making
• The Role of AI in Managing Organizational Change
• Ethical Challenges in AI-Driven Management
• AI and the Future of Workforce Management
• Leveraging AI for Enhanced Customer Experience
• AI in Risk Management and Uncertainty Mitigation
• AI-Powered Strategies for Digital Transformation
• Reshaping Business Models through AI Integration
• AI in Supply Chain and Operations Management
• The Intersection of AI and Human Resource Development
• Leadership in the Age of AI: Challenges and Opportunities
• AI-Driven Innovation in Business and Administration
• The Impact of AI on Organizational Culture and Collaboration
• Adapting Management Practices to AI-Enabled Environments
• AI in Data-Driven Decision-Making and Business Analytics
• Managing Virtual Teams with AI Tools
• Future Skills for Managers in an AI-Dominated World
• AI as a Catalyst for Sustainability in Management
• AI in Crisis Management and Scenario Planning
• Policy and Regulation of AI in Organizational Management

The members of the Organizing Committee are the following: Paul Marinescu, Ionut Constantin, Rodica Ianole-Călin Cristina Veith, Cătălin Grădinaru, Cosmin Olteanu.

AI and the Future of Management

Artificial Intelligence (AI) is significantly transforming management, reshaping how organizations operate and achieve their goals. Its influence is evident in enabling more informed decision-making by providing access to coherent and consistent data. AI facilitates the collection, analysis, and interpretation of large volumes of data in real-time, empowering managers to make accurate, data-driven, and predictive decisions. These include market and trend analysis, financial and operational strategy optimization, and improved forecasting.

AI solutions also automate repetitive or time-consuming tasks, freeing managers to focus on strategic activities. Examples include supply chain management, financial report generation, and talent acquisition through algorithms that analyze resumes efficiently.

Moreover, AI enhances personalized interactions with customers and employees. Chatbots for customer support and tailored training programs for employees address individual needs, while systems like personalized recommendations for products and services boost user satisfaction.

Efficiency and productivity are also significantly improved through AI algorithms that identify inefficiencies and propose concrete solutions. This can lead to cost reduction by managing resources effectively or eliminating downtime in production processes.

AI's support in risk management is another major advantage. It analyzes risks and proposes strategies to mitigate them. Examples include detecting financial fraud, identifying cybersecurity threats, and forecasting economic and social risks.

Leadership is evolving as well, with AI providing tools to analyze team performance and behavior. These tools enable adaptive leadership styles through real-time feedback systems and the identification of coaching and mentoring needs.

However, alongside its many benefits, AI poses challenges. Resistance to change from employees or managers, ethical concerns about algorithm transparency, and the risks of excessive surveillance are critical issues that demand attention. Additionally, over-reliance on technology could erode human competencies in certain domains.

In conclusion, AI is transforming management from a discipline driven by intuition and experience into one focused on data and efficiency. Managers who fail to adapt to these new realities risk causing significant harm to the organizations they lead.

Paul Marinescu