DeepAI AI Chat
Log In Sign Up

Tailoring Requirements Engineering for Responsible AI

02/21/2023
by   Walid Maalej, et al.
University of Hamburg
0

Requirements Engineering (RE) is the discipline for identifying, analyzing, as well as ensuring the implementation and delivery of user, technical, and societal requirements. Recently reported issues concerning the acceptance of Artificial Intelligence (AI) solutions after deployment, e.g. in the medical, automotive, or scientific domains, stress the importance of RE for designing and delivering Responsible AI systems. In this paper, we argue that RE should not only be carefully conducted but also tailored for Responsible AI. We outline related challenges for research and practice.

READ FULL TEXT

page 1

page 2

page 3

page 4

04/23/2020

Responsible AI and Its Stakeholders

Responsible Artificial Intelligence (AI) proposes a framework that holds...
02/19/2022

Responsible AI in Healthcare

This article discusses open problems, implemented solutions, and future ...
11/26/2020

Nose to Glass: Looking In to Get Beyond

Brought into the public discourse through investigative work by journali...
05/23/2021

Towards Knowledge Organization Ecosystems

It is needless to mention the (already established) overarching importan...
11/20/2019

Hard Choices in Artificial Intelligence: Addressing Normative Uncertainty through Sociotechnical Commitments

As AI systems become prevalent in high stakes domains such as surveillan...
03/18/2021

Requirement Engineering Challenges for AI-intense Systems Development

Availability of powerful computation and communication technology as wel...