An Intelligence in Our Image: The Risks of Bias and Errors in Artificial Intelligence

By Osonde A. Osoba, W. Welser. 2017

203 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Safety Research, Safety, Robustness & Interpretability, AI Ethics, Fairness & Society

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Paul Rad
2. Arun Das
3. M. Vasarhelyi
4. Anders Søgaard
5. Gesina Schwalbe
6. Bettina Finzel
7. Karthikeyan K

In Safety Research

1. Helen L. Brown-Liburd

In Safety, Robustness & Interpretability

1. Paul Rad
2. Arun Das

In AI Ethics, Fairness & Society

1. Paul Rad
2. Arun Das

Citations in the corpus

• The Ethical Implications of Using Artificial Intelligence in Auditing (2020, background): “Osoba and Welser (2017) define this problem as “an algorithm’s data diet: with limited human direction, an artificial agent is only as good as the data it learns from.””
• Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey (2020, background): “Recent interest in XAI, even from governments especially with the European General Data Protection Regulation (GDPR) [21] regulation, shows the important realization of the ethics [22]–[26], trust [27]–[29], bias [30]–[33] of AI, as well as the”