Conference paper
Speech Recognition using Biologically-Inspired Neural Networks
Thomas Bohnstingl, Ayush Garg, et al.
ICASSP 2022
In this position paper, I argue that the best way to help and protect humans using AI technology is to make them aware of the intrinsic limitations and problems of AI algorithms. To accomplish this, I suggest three ethical guidelines to be used in the presentation of results, mandating AI systems to expose uncertainty, to instill distrust, and, contrary to traditional views, to avoid explanations. The paper does a preliminary discussion of the guidelines and provides some arguments for their adoption, aiming to start a debate in the community about AI ethics in practice.
Thomas Bohnstingl, Ayush Garg, et al.
ICASSP 2022
Jiawei Zhou, Tahira Naseem, et al.
EMNLP 2021
Mo Yu, Yi Gu, et al.
ACL 2023
Amar Prakash Azad, Supriyo Ghosh, et al.
IAAI 2022