paper-with-me

홈 › Papers

Data Ethics Emergency Drill: A Toolbox for Discussing Responsible AI for Industry Teams

2024-03-15 · Vanessa Aisyahsari Hanschke, Dylan Rees, Merve Alanyali, David Hopkinson, Paul Marshall

Researchers urge technology practitioners such as data scientists to consider the impacts and ethical implications of algorithmic decisions. However, unlike programming, statistics, and data management, discussion of ethical implications is rarely included in standard data science training. To begin to address this gap, we designed and tested a toolbox called the data ethics emergency drill (DEED) to help data science teams discuss and reflect on the ethical implications of their work. The DEED is a roleplay of a fictional ethical emergency scenario that is contextually situated in the team's specific workplace and applications. This paper outlines the DEED toolbox and describes three studies carried out with two different data science teams that iteratively shaped its design. Our findings show that practitioners can apply lessons learnt from the roleplay to real-life situations, and how the DEED opened up conversations around ethics and values.

📄 PDF Abstract BibTeX arXiv:2403.10438

Code (0)

등록된 구현이 없습니다.

Tasks

EthicsManagement

Similar Papers 제목 키워드 기반

Ethics of Artificial Intelligence Demarcations

2019-04-23 · Anders Braarud Hanssen, Stefano Nichele

In this paper we present a set of key demarcations, particularly important when discussing ethical and societal issues of current AI research and applications. Properly distinguishing issues and concerns related to Artif…

Ethics

The Only Way is Ethics: A Guide to Ethical Research with Large Language Models

2024-12-20 · Eddie L. Ungless, Nikolas Vitsakis, Zeerak Talat, James Garforth 외

There is a significant body of work looking at the ethical considerations of large language models (LLMs): critiquing tools to measure performance and harms; proposing toolkits to aid in ideation; discussing the risks to…

Ethics

Research on Artificial Intelligence Ethics Based on the Evolution of Population Knowledge Base

2018-06-09 · Feng Liu, Yong Shi

The unclear development direction of human society is a deep reason for that it is difficult to form a uniform ethical standard for human society and artificial intelligence. Since the 21st century, the latest advances i…

Ethics

Contextualizing Artificially Intelligent Morality: A Meta-Ethnography of Top-Down, Bottom-Up, and Hybrid Models for Theoretical and Applied Ethics in Artificial Intelligence

2022-04-15 · Jennafer S. Roberts, Laura N. Montoya

In this meta-ethnography, we explore three different angles of ethical artificial intelligence (AI) design implementation including the philosophical ethical viewpoint, the technical perspective, and framing through a po…

Ethics

Forecasting the abnormal events at well drilling with machine learning

2022-03-10 · Ekaterina Gurina, Nikita Klyuchnikov, Ksenia Antipova, Dmitry Koroteev

We present a data-driven and physics-informed algorithm for drilling accident forecasting. The core machine-learning algorithm uses the data from the drilling telemetry representing the time-series. We have developed a B…

BIG-bench Machine LearningTime SeriesTime Series Analysis