Responsible Artificial Intelligence (AI) in Banking and Insurance
In the words of Einstein, "Technological progress is like an axe in the hands of a pathological criminal." This statement underscores the intricacies of technology. Artificial Intelligence (AI), beyond just ChatGPT, empowers intelligent machines to make decisions about loans, employment, claim handling, and more. However, AI is far from flawless. The intricate models sometimes result in incomprehensible decisions, which can lead to unconscious bias and severe errors.
Examples, such as Amazon's biased HR Analytics, Apple Card (wrongfully) being accused of discrimination against women, and Netflix's potential prediction of sexual orientation, highlight the pitfalls. We will shed light on the risks faced in the financial sector, and solutions like stricter regulation, heightened awareness, and responsible AI tools. It's imperative that we acknowledge both the potential and pitfalls of AI. By prioritizing responsibility and ethics, we will be able to make informed choices and positively shape the future of AI within the banking and insurance sectors.
By the end of this training, participants will be able to:
- define responsible AI and recognize its significance in the financial industry;
- identify and analyse the main risks associated with AI deployment in banking and insurance;
- understand the concept of fairness in AI and its implications for non-discrimination;
- explain the importance of explainable AI and its relation to regulatory requirements;
- evaluate the risks and opportunities of generative AI in financial applications.
These objectives aim to provide participants with a comprehensive understanding of responsible AI practices, particularly in the context of banking and insurance. By examining real-world examples and case studies, participants will gain insights into potential pitfalls, ethical considerations, and the tools necessary for shaping a responsible AI future.
Prix total *
Membres: € 330
Non-membres: € 360
Partenaires/ BZB: € 330
Incompany: sur mesure, prix à la demande
* Prix : prestation dans le cadre du recyclage régulier, exonérée de TVA
Heures de Recyclage
Banque: 3h général
Assurances: 3h général
Crédit à la consommation: 3h général
Crédit hypothécaire: 3h général
Compliance:
3h
Recyclage
Dates disponibles
27/05/2024 - 09:00u - 12:30u - Responsible Artificial Intelligence (AI) in Banking and Insurance
17/10/2024 - 09:00u - 12:30u - Responsible Artificial Intelligence (AI) in Banking and Insurance
Manifestez votre intérêt lorsqu’aucune date n’est disponible, la date planifiée ne convient pas et/ou la session existante est complète. Dès que 5 personnes sont inscrites sur la liste d'intérêt, nous vous proposons une nouvelle date. Votre inscription sur la liste d'intérêt est gratuite et n'induit aucune obligation.
Groupe cible
This training course can be followed by multiple target groups:
- legal and regulatory professionals;
- compliance officers;
- Fintech entrepreneurs;
- data protection officers;
- technology and IT professionals;
- risk Managers;
- financial analysts and consultants;
- data analysts;
- all employees in financial sector;
- …
Connaissances préalables
Advanced level training: this training requires a general basic knowledge of the subject.
Programme
CONTENT
- Introduction
- Responsible AI: Definition and Significance
- Main Risks of AI (Non-discrimination, Privacy, Black Box)
- Fairness in AI
- Understanding Non-discrimination and Protected Groups
- Origins of Bias in AI Models
- Measuring Fairness in AI
- Mitigating Bias in AI
- Case Studies: Credit Scoring and HR Analytics
- Explainable AI
- Importance of Explaining Predictive Models
- GDPR and AI Act Requirements for Explanation
- Link Between Explainability and Fairness
- Case Studies: Credit Scoring, Fraud Detection, and Healthcare
- Generative AI: Risks and Benefits
- Potential Risks of Generative AI
- Opportunities in Generative AI
- Responsible AI Governance
- Establishing a Responsible AI Program
- Key Components of AI Governance
- Conclusion
PRACTICAL INFORMATION
- Duration: ½ day of training (3 class hours)
- Hours: 09:00 to 12:30
- Location: Febelfin Academy: Phoenix building, Koning Albert II-laan/Boulevard du Roi Albert II 19, 1210 Brussels
- Language: This training will be given in English
Méthodologie
You follow a ‘Classroom training’ in a group. You, the other participants and the teacher are all present in the same classroom at an agreed time. There is an opportunity for interaction and feedback, both from the participants to the teacher and vice versa. The teaching material consists as a basis of a presentation via the MyFA learning platform, supplemented with various other items (such as digital syllabus, presentation, audiovisual fragments, etc.).
Training material:
- PowerPoint presentation (slides)
Formateurs
David Eric K Martens
Compliance & audit
Risk, finance & treasury
