v1.0International audienceCompanies or institutions (Divinities) disintermediate their relations with users via decision-making algorithms (Pythias): users (mortals) are offered arbitrary decisions (oracles) during their interactions.How to apprehend these black box algorithms, from the point of view of a user or regulator
This dissertation seeks to clarify and resolve a number of fundamental issues surrounding algorithmi...
In a context favorable to the rationalization of decisions through measurable objectives and quantit...
Esposito E. Author's Response Opacity and Complexity of Learning Black Boxes. Constructivist Foundat...
v1.0International audienceCompanies or institutions (Divinities) disintermediate their relations wit...
In recent years, many accurate decision support systems have been constructed as black boxes, that i...
Black box AI systems for automated decision making, often based on machine learning over (big) data,...
The rise of sophisticated machine learning models has brought accurate but obscure decision systems,...
Considerable scholarship has established that algorithms are an increasingly important part of what ...
The recent years have witnessed the rise of accurate but obscure decision systems which hide the lo...
Black-box algorithms now account for nearly a third of all U. S. stock trades. It is a mistake to th...
In their article 'Who is afraid of black box algorithms? On the epistemological and ethical basis of...
The use of black box algorithms in medicine has raised scholarly concerns due to their opaqueness an...
This work presents ten arguments against algorithmic decision-making. These revolve around at the co...
Fears of black-box algorithms are multiplying. Black-box algorithms are said to prevent accountabili...
This work presents ten arguments against algorithmic decision-making. These re-volve around the conc...
This dissertation seeks to clarify and resolve a number of fundamental issues surrounding algorithmi...
In a context favorable to the rationalization of decisions through measurable objectives and quantit...
Esposito E. Author's Response Opacity and Complexity of Learning Black Boxes. Constructivist Foundat...
v1.0International audienceCompanies or institutions (Divinities) disintermediate their relations wit...
In recent years, many accurate decision support systems have been constructed as black boxes, that i...
Black box AI systems for automated decision making, often based on machine learning over (big) data,...
The rise of sophisticated machine learning models has brought accurate but obscure decision systems,...
Considerable scholarship has established that algorithms are an increasingly important part of what ...
The recent years have witnessed the rise of accurate but obscure decision systems which hide the lo...
Black-box algorithms now account for nearly a third of all U. S. stock trades. It is a mistake to th...
In their article 'Who is afraid of black box algorithms? On the epistemological and ethical basis of...
The use of black box algorithms in medicine has raised scholarly concerns due to their opaqueness an...
This work presents ten arguments against algorithmic decision-making. These revolve around at the co...
Fears of black-box algorithms are multiplying. Black-box algorithms are said to prevent accountabili...
This work presents ten arguments against algorithmic decision-making. These re-volve around the conc...
This dissertation seeks to clarify and resolve a number of fundamental issues surrounding algorithmi...
In a context favorable to the rationalization of decisions through measurable objectives and quantit...
Esposito E. Author's Response Opacity and Complexity of Learning Black Boxes. Constructivist Foundat...