The past few years have witnessed several scandals surrounding public sector algorithms, fuelling the calls for increased algorithmic transparency and accountability. This paper aims to identify lessons for algorithmic transparency deriving from the well-established open data movement and provide a set of recommendations for algorithmic transparency practitioners
As research on algorithms and their impact proliferates, so do calls for scrutiny/accountability of ...
While organizations today make extensive use of complex algorithms, the notion of algorithmic accoun...
The pervasive growth of algorithmic enforcement magnifies current debates regarding the virtues of t...
Big data and data science transform organizational decision-making. We increasingly defer decisions ...
This online learning opportunity will begin with an introduction to algorithms, touching on definiti...
What if algorithms weren’t the Ghost in the Machine? Can/Should algorithms be understood as part of ...
Accountability is the ability to provide good reasons in order to explain and to justify actions, de...
Today, many organizations use personal data and algorithms for ads, recommendations, and decisions. ...
The combination of increased availability of large amounts of fine-grained human behavioral data and...
Algorithmic systems are increasingly being used as part of decision-making process...
International audiencePublic administration's reliance on software algorithms brings the risk of obf...
This thesis investigates how algorithmic transparency is performed in French public sector organisat...
Machine-learning algorithms are improving and automating important functions in medicine, transporta...
This paper explores how accountability might make otherwise obscure and inaccessible algorithms avai...
Accountability is fundamentally about checks and balances to power. In theory, both government and c...
As research on algorithms and their impact proliferates, so do calls for scrutiny/accountability of ...
While organizations today make extensive use of complex algorithms, the notion of algorithmic accoun...
The pervasive growth of algorithmic enforcement magnifies current debates regarding the virtues of t...
Big data and data science transform organizational decision-making. We increasingly defer decisions ...
This online learning opportunity will begin with an introduction to algorithms, touching on definiti...
What if algorithms weren’t the Ghost in the Machine? Can/Should algorithms be understood as part of ...
Accountability is the ability to provide good reasons in order to explain and to justify actions, de...
Today, many organizations use personal data and algorithms for ads, recommendations, and decisions. ...
The combination of increased availability of large amounts of fine-grained human behavioral data and...
Algorithmic systems are increasingly being used as part of decision-making process...
International audiencePublic administration's reliance on software algorithms brings the risk of obf...
This thesis investigates how algorithmic transparency is performed in French public sector organisat...
Machine-learning algorithms are improving and automating important functions in medicine, transporta...
This paper explores how accountability might make otherwise obscure and inaccessible algorithms avai...
Accountability is fundamentally about checks and balances to power. In theory, both government and c...
As research on algorithms and their impact proliferates, so do calls for scrutiny/accountability of ...
While organizations today make extensive use of complex algorithms, the notion of algorithmic accoun...
The pervasive growth of algorithmic enforcement magnifies current debates regarding the virtues of t...