Requirements engineering for Machine Learning

Markus wrote an interesting article about the topic. Machine learning (ML) is used increasingly in real-world applications. In this paper, we describe our ongoing endeavor to define characteristics and challenges unique to Requirements Engineering (RE) for ML-based systems. As a first step, we interviewed four data scientists to understand how ML experts approach elicitation, specification, and assurance of requirements and expectations. The results show that changes in the development paradigm, i.e., from coding to training, also demands changes in RE. Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co. We thank our new partner [Siemens ](https://new.siemens.com/global/en/products/automation/topic-areas/artificial-intelligence-in-industry.html) Our guest: Markus Borg ([more](https://www.linkedin.com/in/mrksbrg/)) **Shownotes:** The article Markus mentioned ([more](https://arxiv.org/abs/1908.04674))