Transparency in algorithmic and human decision-making: is there a double standard?
We are sceptical of concerns over the opacity of algorithmic decision tools. While
transparency and explainability are certainly important desiderata in algorithmic …
transparency and explainability are certainly important desiderata in algorithmic …
Algorithmic and human decision making: for a double standard of transparency
M Günther, A Kasirzadeh - AI & SOCIETY, 2022 - Springer
Should decision-making algorithms be held to higher standards of transparency than human
beings? The way we answer this question directly impacts what we demand from …
beings? The way we answer this question directly impacts what we demand from …
[HTML][HTML] Algorithmic accountability and public reason
R Binns - Philosophy & technology, 2018 - Springer
The ever-increasing application of algorithms to decision-making in a range of social
contexts has prompted demands for algorithmic accountability. Accountable decision …
contexts has prompted demands for algorithmic accountability. Accountable decision …
[HTML][HTML] The perils and pitfalls of explainable AI: Strategies for explaining algorithmic decision-making
Governments look at explainable artificial intelligence's (XAI) potential to tackle the criticisms
of the opaqueness of algorithmic decision-making with AI. Although XAI is appealing as a …
of the opaqueness of algorithmic decision-making with AI. Although XAI is appealing as a …
[HTML][HTML] Explainable AI lacks regulative reasons: why AI and human decision-making are not equally opaque
U Peters - AI and Ethics, 2023 - Springer
Many artificial intelligence (AI) systems currently used for decision-making are opaque, ie,
the internal factors that determine their decisions are not fully known to people due to the …
the internal factors that determine their decisions are not fully known to people due to the …
Beyond explainability: justifiability and contestability of algorithmic decision systems
C Henin, D Le Métayer - Ai & Society, 2022 - Springer
In this paper, we point out that explainability is useful but not sufficient to ensure the
legitimacy of algorithmic decision systems. We argue that the key requirements for high …
legitimacy of algorithmic decision systems. We argue that the key requirements for high …
The conflict between explainable and accountable decision-making algorithms
Decision-making algorithms are being used in important decisions, such as who should be
enrolled in health care programs and be hired. Even though these systems are currently …
enrolled in health care programs and be hired. Even though these systems are currently …
[HTML][HTML] Transparency as design publicity: explaining and justifying inscrutable algorithms
In this paper we argue that transparency of machine learning algorithms, just as explanation,
can be defined at different levels of abstraction. We criticize recent attempts to identify the …
can be defined at different levels of abstraction. We criticize recent attempts to identify the …
Why a right to an explanation of algorithmic decision-making should exist: A trust-based approach
TW Kim, BR Routledge - Business Ethics Quarterly, 2022 - cambridge.org
Businesses increasingly rely on algorithms that are data-trained sets of decision rules (ie,
the output of the processes often called “machine learning”) and implement decisions with …
the output of the processes often called “machine learning”) and implement decisions with …
[HTML][HTML] Artificial intelligence, transparency, and public decision-making: Why explanations are key when trying to produce perceived legitimacy
K de Fine Licht, J de Fine Licht - AI & society, 2020 - Springer
The increasing use of Artificial Intelligence (AI) for making decisions in public affairs has
sparked a lively debate on the benefits and potential harms of self-learning technologies …
sparked a lively debate on the benefits and potential harms of self-learning technologies …