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• To equip participants with the knowledge necessary to understand the ethical principles of artificial intelligence (AI) and its applications in the financial context.

• To enable participants to identify and assess the ethical and legal risks associated with the use of AI in their organizations.

• To familiarize participants with the European Union's AI law and how it can be used to build internal frameworks for responsible AI management.

• To develop the capacity to make informed decisions and design internal policies that ensure the ethical and responsible use of AI in the Jordanian financial sector.

• To raise awareness of the importance of good AI governance to ensure transparency, fairness, and accountability.
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•    تزويد المشاركين بالمعرفة اللازمة لفهم المبادئ الأخلاقية للذكاء الاصطناعي وتطبيقاتها في السياق المالي. 
•    تمكين المشاركين من تحديد وتقييم المخاطر الأخلاقية والقانونية المرتبطة باستخدام الذكاء الاصطناعي في مؤسساتهم. 
•    التعرف على قانون الذكاء الاصطناعي للاتحاد الأوروبي وكيف يمكن الاستفادة منه في بناء أطر عمل داخلية للتعامل مع الذكاء الاصطناعي بمسؤولية. 
•    تطوير القدرة على اتخاذ قرارات مستنيرة وتصميم سياسات داخلية تضمن الاستخدام الأخلاقي والمسؤول للذكاء الاصطناعي في القطاع المالي الأردني. 
•    تعزيز الوعي بأهمية الحوكمة الرشيدة للذكاء الاصطناعي لضمان الشفافية، العدالة، والمساءلة.

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1. Introduction to Artificial Intelligence and its Applications in the Financial Sector:

• Definition of artificial intelligence and its types.

• Examples of AI applications in banks and financial institutions (e.g., fraud detection, automated trading, credit risk assessment, customer service).

• Opportunities and challenges posed by AI to the Jordanian financial sector.

2. Fundamental Principles of AI Ethics:

• Transparency and explainability.

• Fairness and impartiality.

• Accountability and responsibility.

• Privacy and data protection.

• Security and reliability.

• Human control and oversight.

3. The EU AI Act as a Model:

• Overview of the EU AI Act: objectives, scope, and different categories of AI systems (unacceptable risk, high risk, limited risk, and minimum risk).

• Obligations and requirements for high-risk AI systems.

• Examples of EU AI Act applications in financial contexts. • How can the principles and requirements of this law be utilized to fill the legislative gap in Jordan?

4. Ethical and Legal Challenges of Artificial Intelligence in the Jordanian Financial Sector:

• Bias issues in financial algorithms (e.g., in loan approvals, customer evaluations).

• Privacy and data security risks in financial AI systems.

• Decision-making responsibility: when AI makes decisions with significant financial impact.

• Addressing the transparency and interpretability of complex AI models.

• The absence of a Jordanian legislative framework: implications and challenges.

5. Building an Internal Framework for AI Ethical Governance in Financial Institutions:

• Developing internal policies and procedures for the responsible use of AI.

• Establishing AI ethics committees or task forces.

• The importance of ongoing training and awareness-raising within the institution.

• AI Ethics Impact Assessment.

• The role of leadership in fostering a culture of AI ethics.

6. Workshops and Case Studies:

• Case studies analyzing real ethical problems encountered in financial AI applications.

• Applying principles learned from EU law to Jordanian scenarios.

• Drafting internal guidelines for AI ethics within a specific financial institution..

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1. Executive managers in banks and financial institutions.
2. Managers and heads of departments (e.g., risk management, technology, compliance, credit, human resources, digital transformation).
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1.    المدراء التنفيذيون في البنوك والمؤسسات المالية. 
2.    مدراء ورؤساء الأقسام (مثل: إدارة المخاطر، التكنولوجيا، الالتزام، الائتمان، الموارد البشرية، التحول الرقمي).
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