Nose to Glass: Looking In to Get Beyond

11/26/2020
by   Josephine Seah, et al.
0

Brought into the public discourse through investigative work by journalists and scholars, awareness of algorithmic harms is at an all-time high. An increasing amount of research has been conducted under the banner of enhancing responsible artificial intelligence (AI), with the goal of addressing, alleviating, and eventually mitigating the harms brought on by the roll out of algorithmic systems. Nonetheless, implementation of such tools remains low. Given this gap, this paper offers a modest proposal: that the field, particularly researchers concerned with responsible research and innovation, may stand to gain from supporting and prioritising more ethnographic work. This embedded work can flesh out implementation frictions and reveal organisational and institutional norms that existing work on responsible artificial intelligence AI has not yet been able to offer. In turn, this can contribute to more insights about the anticipation of risks and mitigation of harm. This paper reviews similar empirical work typically found elsewhere, commonly in science and technology studies and safety science research, and lays out challenges of this form of inquiry.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 1

page 2

page 3

page 4

12/10/2019

Dynamic Algorithmic Service Agreements Perspective

A multi-disciplinary understanding of the concepts of identity, agency, ...
04/23/2020

Responsible AI and Its Stakeholders

Responsible Artificial Intelligence (AI) proposes a framework that holds...
06/26/2020

Could regulating the creators deliver trustworthy AI?

Is a new regulated profession, such as Artificial Intelligence (AI) Arch...
11/18/2021

Software Engineering for Responsible AI: An Empirical Study and Operationalised Patterns

Although artificial intelligence (AI) is solving real-world challenges a...
08/11/2020

Progressing Towards Responsible AI

The field of Artificial Intelligence (AI) and, in particular, the Machin...
10/10/2019

The Quest for Interpretable and Responsible Artificial Intelligence

Artificial Intelligence (AI) provides many opportunities to improve priv...
09/24/2021

Towards a Governance Framework for Brain Data

The increasing availability of brain data within and outside the biomedi...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.