4.1.1 The context of the AI in FinTech Research
Module 4: AI in Practice: Preparing for AI
In this video lesson, Arie van Deursen, scientific director of the AI for FinTech Research and professor software engineering and head of the department of software technology at Delft University of Technology, gives an introduction of the ING/TU Delft Lab and explains the learning sequence On-Time Software Delivery, in terms of ‘the big picture’ and the social relevance of the study.
In his presentation, Arie van Deursen refers to a number of research papers. For your convenience we have collected them below for you; reading the papers is explicitly not mandatory in the course and is only intended for learners who want to delve deeper into the subject matter:
- Mark Haakman, Luís Cruz, Hennie Huijgens, Arie van Deursen. AI Lifecycle Models Need To Be Revised. An Exploratory Study in Fintech. 2020.
- Pouria Derakhshanfar, Xavier Devroey, Gilles Perrouin, Andy Zaidman, Arie van Deursen. Search-based Crash Reproduction using Behavioral Model Seeding. Software Testing, Verification and Reliability (STVR), 2020.
- Ben Shneiderman. Bridging the Gap Between Ethics and Practice: Guidelines for Reliable, Safe, and Trustworthy Human-centered AI Systems.
ACM TiiS, 2020.
AI in Practice: Preparing for AI by TU Delft OpenCourseWare is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Based on a work at https://online-learning.tudelft.nl/courses/ai-in-practice-preparing-for-ai/ /