ΠΕΡΙΓΡΑΦΗ

This course focuses on the principles of Ethical AI, tailored specifically to the financial industry. It highlights regulatory frameworks such as ISO 42001 and the EU AI Act, addressing unique ethical challenges in finance, including bias in credit decisions, algorithmic transparency in trading systems, and data privacy in customer management. Participants will learn how to navigate ethical dilemmas, ensure compliance with financial regulations, and integrate ethical AI practices into their organizations. Practical insights into designing, managing, and auditing ethical AI systems will equip professionals to lead the financial sector’s adoption of AI technologies responsibly and effectively.

ΣΚΟΠΟΣ ΣΕΜΙΝΑΡΙΟΥ

The course will provide participants with a comprehensive understanding of ethical considerations in AI, focusing on regulations such as ISO 42001, EU AI Act, and industry-specific ethical challenges, with an emphasis on the financial industry. 

By the end of the programme, participants will be able to:

• Understand ethical challenges in financial AI applications, including algorithmic bias, transparency, and data fairness.
• Explore ISO 42001 and the EU AI Act and their relevance to the financial sector.
• Develop and implement ethical AI systems tailored to financial regulations and compliance requirements.
• Analyse case studies of ethical and unethical AI applications in finance, such as fraud detection and algorithmic trading.
• Build strategies to govern AI systems in the financial industry while maintaining ethical standards.
• Audit and monitor AI systems to ensure ethical compliance throughout their lifecycle.
• Balance innovation with ethical considerations to foster customer trust and regulatory confidence in financial AI applications

ΣΕ ΠΟΙΟΥΣ ΑΠΕΥΘΥΝΕΤΑΙ

The programme is ideal for:

• Financial Analysts and AI Specialists implementing AI in lending, trading, or fraud detection.
• Compliance Officers ensuring adherence to ethical AI regulations in finance.
• Governance Leaders responsible for ethical AI deployment within financial institutions.
• Data Scientists and Developers working on transparent and fair AI systems for finance.
• Policy Advisors and Risk Managers addressing regulatory challenges in AI-driven financial services.

ΠΕΡΙΣΣΟΤΕΡΕΣ ΠΛΗΡΟΦΟΡΙΕΣ

Training Outline 

Introduction to Ethical AI in Finance

• Definition and importance of Ethical AI in the financial sector.
• Overview of AI’s impact on the financial industry, including lending, trading, and fraud detection.
• Ethical issues in financial AI: Bias, transparency, accountability, and customer privacy. 

Regulatory Frameworks for Ethical AI in Finance

• ISO 42001: Key principles for financial transparency and ethical compliance.
• ISO standards addressing AI in fraud detection and customer data management.
• EU AI Act: Classifications of financial AI systems and their ethical implications.
• Addressing high-risk financial applications under EU guidelines.
• Global regulatory standards and frameworks relevant to the financial sector. 

Ethical AI Applications in Financial Services

• Unique ethical concerns in financial AI applications:
  -Algorithmic trading and transparency.
  -Fairness in credit scoring and lending.
  -Ethical concerns in fraud detection and prevention.
• Case studies of ethical AI successes and failures in finance.
• Designing financial AI systems that uphold ethical standards. 

Building Ethical AI Systems for Financial Applications

• Best practices for developing financial AI systems:
  -Techniques for detecting bias in financial models.
  -Ethical data sourcing and privacy considerations in finance.
  -Explainability of AI models used in credit and investment decisions.
• Implementing ethics guidelines in financial AI system development and deployment. 

Governance and Oversight for Ethical AI in Finance

• Establishing internal policies for financial AI governance.
• Applying ISO 42001 to financial compliance processes.
• Monitoring and auditing financial AI systems to ensure ethical practices. 

Future of Ethical AI in the Financial Industry

• Emerging trends in ethical financial AI applications.
• Role of regulators in shaping the financial industry’s AI landscape.
• Building trust and innovation in finance through ethical AI adoption.

Training Style  

The course uses a blend of short lectures, real-world case studies, and interactive discussions. Participants will engage in practical exercises and simulations to assess current ethical challenges in AI systems. The training focuses on collaborative problem-solving, applying ethical frameworks to real-life scenarios. Customised feedback and actionable insights are provided to help integrate ethical AI practices into participants’ professional environments. 

CPD Recognition 

This programme may be approved for up to 3 CPD units in Financial Regulation. Eligibility criteria and CPD Units are verified directly by your association, regulator or other bodies which you hold membership.