Bias and hidden labour in computational systems
Since the beginning of computation it’s physicality has become increasingly smaller and since Gordon Moore’s famous prediction computation became almost transparent.
Since the beginning of computation it’s physicality has become increasingly smaller and since Gordon Moore’s famous prediction computation became almost transparent.
Since the beginning of computation it’s physicality has become increasingly smaller and since Gordon Moore’s famous prediction computation became almost transparent.
Since the beginning of computation it’s physicality has become increasingly smaller and since Gordon Moore’s famous prediction computation became almost transparent.
Software development is about the interpretation of inclusion and exclusion.
Biased algorithms are computational systems which essentially lead to unfair outcomes like racism, sexism and discrimination or the mere act of privileging specific groups of people and disregarding others.
Biased algorithms are computational systems which essentially lead to unfair outcomes like racism, sexism and discrimination or the mere act of privileging specific groups of people and disregarding others.
Biased algorithms are computational systems which essentially lead to unfair outcomes like racism, sexism and discrimination or the mere act of privileging specific groups of people and disregarding others.
Biased algorithms are computational systems which essentially lead to unfair outcomes like racism, sexism and discrimination or the mere act of privileging specific groups of people and disregarding others.
Leaving AI's Scope
Rationalistic Tradition
Fallacy of Objectivity
“Computers neither consider nor generate facts. They manipulate symbolic representations that some person generated on the belief that they corresponded to facts.” (Winograd and Flores, 1987)
1. Interpretation and observation of the situation2. Formalization and definition of its objects, properties and operations3. Representation and implementation into computable code
“In writing a computer program, the programmer is responsible for characterizing the task domain as a collection of objects, properties, and operations, and for formulating the task as a structure of goals in terms of these. Obviously, this is not a matter of free choice. The programmer acts within a context of language, culture, and previous understanding, both shared and personal. The program is forever limited to working within the world determined by the programmer’s explicit articulation of possible objects, properties, and relations among them. It therefore embodies the blindness that goes with this articulation.” (Winograd and Flores, 1987)
Bias as a Process
A process which needs to be acknowledged to reflect onto our ontology to increasingly understand who we are and how limiting we perceive the world around us.
A process which needs to be constantly updated to synchronize the world with the created rational abstractions.
A process which needs to be transparent to disclaim the decision making of inclusion and exclusion to the computational affected environment.
Human Tasks
Human Intelligent Tasks
“A Human Intelligence Task, or HIT, is a question that needs an answer. A HIT represents a single, self-contained, virtual task that a Worker can work on, submit an answer, and collect a reward for completing. HITs are created by Requester customers in order to be completed by Worker customers.” (Amazon Mechanical Turk, 2020)
Human Intelligent Tasks
aka. Microwork
Standard Interpretation
of the Turing Test
Conversation Between Two Human Beings
Precarious Work
Design of Discrimination
Lessons from Turkopticon
From Critical Design to Critical Infrastructure.
Crowdsourcing is definitely one case where design can’t solve the problem. What design can do about these complex issues is to shift the debate by changing the interfaces, maintaining refusal, and articulating the critique.
Keeping Turkopticon lively has stretched us beyond our preparation as designers. Design suggests transformational action, but primarily through acts of planning and specification; repair and maintenance fall out of view in most design discourse.
Hyperemployment
In the current phase of late capitalism, we are experiencing a crucial contradiction every day. On the one hand, the increasing automation of productive processes is apparently making John Maynard Keynes’s promise of a post-work society not only more real, but also closer; on the other hand, labour – far from disappearing – is colonising and altering any given moment and aspect of our existence.
The Automation Charade
Hence, I propose making our idea of automation itself obsolescent. A new term, “fauxtomation,” seems far more fitting.
The socialist feminist tradition is a powerful resource because it’s centrally concerned with what work is—and in particular how capitalism lives and grows by concealing certain kinds of work, refusing to pay for it, and pretending it’s not, in fact, work at all.
“Technically” Responsible
“Technically” Responsible: The essential, precarious workforce that powers A.I.
An essay and related project, TRK are a part of the Feminist Data Set project investigating the machine learning pipeline and it’s implications in society.
Nooscope
The Nooscope is a cartography of the limits of artificial intelligence, intended as a provocation to both computer science and the humanities. Any map is a partial perspective, a way to provoke debate.
Similarly, this map is a manifesto of AI dissidents. Its main purpose is to challenge the mystifications of artificial intelligence.
Crowdsourcing and Human Computation
Crowdsourcing and human computation are emerging fields that sit squarely at the intersection of economics and computer science. They examine how people can be used to solve complex tasks that are currently beyond the capabilities of artificial intelligence algorithms.
