barbarafister + algorithms   161

Researchers find AI is bad at predicting GPA, grit, eviction, job training, layoffs, and material hardship | VentureBeat
A paper coauthored by over 112 researchers across 160 data and social science teams found that AI and statistical models, when used to predict six life outcomes for children, parents, and households, weren’t very accurate even when trained on 13,000 data points from over 4,000 families.
tech&society  AlgoReport  algorithms  AI  discrimination 
17 hours ago by barbarafister
Federal Court Rules ‘Big Data’ Discrimination Studies Do Not Violate Federal Anti-Hacking Law | American Civil Liberties Union
WASHINGTON — In a major victory for civil liberties and civil rights enforcement during the digital age, a federal court has ruled that research aimed at uncovering whether online algorithms result in racial, gender, or other discrimination does not violate the Computer Fraud and Abuse Act (CFAA).
discrimination  algorithms  AlgoReport  law 
yesterday by barbarafister
Facebook sent home thousands of human moderators due to the coronavirus. Now the algorithms are in charge - The Washington Post
The social networking giant‘s content moderators were sent home due to the virus, forcing it to rely more on technology to police misinformation in the interim.
moderation  socialmedia  algorithms  AlgoReport 
6 days ago by barbarafister
Facebook was marking legitimate news articles about the coronavirus as spam due to a software bug - The Verge
Facebook started marking some posts linking to information and articles about the coronavirus and COVID-19 as spam, as observed by one Verge reporter and many users on Twitter on Tuesday evening. The issue was due to a “bug in an anti-spam system,” according to Guy Rosen, Facebook’s vice president of integrity. Rosen said the company began working on a fix as soon as discovering the issue.
coronavirus  facebook  algorithms  AlgoReport 
11 days ago by barbarafister
A lawsuit says ICE changed risk-evaluation software to keep more undocumented immigrants in jail. - The Washington Post
The immigration agency’s New York office tweaked risk-evaluation software to keep thousands in jail, watchdog groups say.
ICE  lawenforcement  algorithms  AlgoReport 
11 days ago by barbarafister
My Algorithmic Community: Considering the Role of Personalizing Algorithms in Online Community Formation
Not only can algorithms complicate the communities a user is prompted to join, but they also limit the other communities (or those the user may have less interest in based on the site’s collected data) a user can see and potentially engage with.
rhetoric  composition  communities  onlinecommunities  algorithms  personalization  AlgoReport 
11 days ago by barbarafister
Sensemaking by Christian Madsbjerg - UseBecause
In Sensemaking Christian Madsbjerg argues that relying too heavily on pure data analytics to solve our problems is going to create more than it solves. In Silicon Valley there seems to be no room for human intuition or ‘gut-feeling’. If it cannot be measured it is an error in the system, a fly in the ointment. He puts forward the theory that too many companies have leaned too heavily on the algorithm and ignored the humanity of their customer. It this book Madsbjerg sets out five principles that can be used to implement what he calls ‘Sensemaking’. [podcast]
algorithms  analytics  humanities  AlgoReport 
11 days ago by barbarafister
How TikTok’s recommendation algorithm works - Vox
An AI expert recently spotted an unusual detail when trying to follow new people on TikTok.
race  algorithms  personalization  socialmedia  TikTok  AlgoReport 
11 days ago by barbarafister
What even is an algorithm? | The Algorithm Literacy Project • KCJ - YouTube
Have you ever noticed that the internet always seems to know what you like? Who’s making these suggestions? From personalized search results, to video recommendations, to targeted ads, all of these decisions are made by algorithms. [video]
youth  algorithms  AlgoReport 
11 days ago by barbarafister
The Algorithmic Ecology: An Abolitionist Tool for Organizing Against Algorithms
In an increasingly policed and surveilled world, algorithms have become critical sites of power, struggle and resistance. By telling the story of our fight against Predpol, a predictive policing technology, we are introducing an abolitionist model for analyzing algorithms: The Algorithmic Ecology. The Algorithmic Ecology is both a framework and an organizing tool that can be critically applied to any algorithm. This model decenters the algorithm itself, looks at the different actors that shape the algorithm, and illustrates whose interests the algorithm serves, with the ultimate goal of dismantling the actors creating algorithmic harm.
activism  police  politics  lawenforcement  algorithms  tech&society  AlgoReport 
19 days ago by barbarafister
Algorithms that run our lives are racist and sexist. Meet the women trying to fix them - The Correspondent
From insurance payments to courtroom sentencing, AI makes increasingly complex decisions about our lives. And our belief that data is neutral allows algorithms to get away with murder. The fight back is being led by those most likely to find themselves on the wrong side of a computer’s decision.
accountability  algorithms  discrimination  AlgoReport  ethics  tech&society 
20 days ago by barbarafister
Algorithm Literacy Project | Understanding algorithms
I’m everywhere you look, but you can’t see me. I make decisions for you, but you’re smarter than me. I think it’s time I introduced myself!
algorithms  AlgoReport 
21 days ago by barbarafister
Predicting the coronavirus outbreak: How AI connects the dots to warn about disease threats
BlueDot’s AI algorithm, a type of computer program that improves as it processes more data, brings together news stories in dozens of languages, reports from plant and animal disease tracking networks and airline ticketing data. The result is an algorithm that’s better at simulating disease spread than algorithms that rely on public health data – better enough to be able to predict outbreaks.
publichealth  algorithms  AlgoReport 
25 days ago by barbarafister
Can a Robot Decide My Medical Treatment? – The Markup
It may already be happening. The high-stakes world of health care algorithms.
healthcare  algorithms  AlgoReport 
25 days ago by barbarafister
Fairness in algorithmic decision-making
A significant new challenge with these machine learning systems, however, is ascertaining when and how they could introduce bias into the decision-making process.
machinelearning  AI  discrimination  AlgoReport  algorithms 
25 days ago by barbarafister
Lawsuit: ICE Rigged Algorithm to Always Order Arrested Immigrants Be Held in Detention Centers
ICE had already modified the RCA system, which is in use at its New York field office and chooses whether to “detain” or “release” a given person based on factors like criminal history and flight risk, to remove the “release” option—unless the “detain” option was overridden by an agency supervisor. There is no way for detainees to appeal the RCA system’s faux decision.
algorithms  lawenforcement  immigration  discrimination  government  AlgoReport 
27 days ago by barbarafister
This Company Is Using Racially-Biased Algorithms to Select Jurors - VICE
Momus Analytics' predictive scoring system is using race to grade potential jurors on vague qualities like "leadership" and "personal responsibility."
algorithms  analytics  ethics  socialmedia  discrimina  courts  juries  AlgoReport 
27 days ago by barbarafister
How to make artificial intelligence in newsrooms more ethical | Media news
From correcting algorithms that discriminate certain groups of people to fighting filter bubbles that endanger democracy, we need to remind ourselves who is in charge of machine learning.alalg
algorithms  discrimination  AI  ethics  journalism  AlgoReport 
28 days ago by barbarafister
Digital dystopia: how algorithms punish the poor | Technology | The Guardian
In an exclusive global series, the Guardian lays bare the tech revolution transforming the welfare system worldwide – while penalising the most vulnerable
algorithms  artificialintelligence  poverty  AI  AlgoReport 
28 days ago by barbarafister
What AI still can’t do - MIT Technology Review
Artificial intelligence won’t be very smart if computers don’t grasp cause and effect. That’s something even humans have trouble with.
algorithms  AI  AlgoReport 
28 days ago by barbarafister
The Injustice of Algorithms | The New Republic
Prejudice is often coded into software, including tools used by the government. [The New Republic, 2018)
algorithms  bias  data  discrimination  AlgoReport 
29 days ago by barbarafister
The Age of the Algorithm - 99% Invisible
Computer algorithms now shape our world in profound and mostly invisible ways. They predict if we’ll be valuable customers and whether we’re likely to repay a loan. They filter what we see on social media, sort through resumes, and evaluate job performance. They inform prison sentences and monitor our health. Most of these algorithms have been created with good intentions. The goal is to replace subjective judgments with objective measurements. But it doesn’t always work out like that. [podcast]
AI  algorithms  AlgoReport  discrimination 
4 weeks ago by barbarafister
Swinging the Vote? – The Markup
Pete Buttigieg is leading at 63 percent. Andrew Yang came in second at 46 percent. And Elizabeth Warren looks like she’s in trouble with 0 percent. These aren’t poll numbers for the U.S. 2020 Democratic presidential contest. Instead, they reflect which candidates were able to consistently land in Gmail’s primary inbox in a simple test.
gmail  email  algorithms  politics  personalization  AlgoReport 
4 weeks ago by barbarafister
Fair Warning — Real Life
For as long as there has been AI research, there have been credible critiques about the risks of AI boosterism - Abeba Birhane
algorithms  AI  technoutopianism  technodeterminism  tech&society  AlgoReport 
5 weeks ago by barbarafister
News Algorithms, Photojournalism and the Assumption of Mechanical Objectivity in Journalism: Digital Journalism: Vol 7, No 8
This article interrogates the relationship between epistemic authority and journalistic technology through the perspective of mechanical objectivity—a belief in technological systems capable of rendering a particular output in a manner that overcomes the limits of human subjectivity. By treating journalistic objectivity not as a stable referent, but as a contextual one prone to shifts in practices and understandings over time, it foregrounds how changing technologies of recording, creating, and distributing news content affect how journalistic objectivity is understood. Following this perspective, two technological practices are examined: photojournalism and algorithms. [paywalled after March 31]
journalism  algorithms  AlgoReport  photojournalism  objectivity  discrimination 
5 weeks ago by barbarafister
How We Analyzed Allstate’s Car Insurance Algorithm  – The Markup
We tested whether Allstate’s personalized pricing algorithm treated customers differently based on non-risk factors by analyzing rare customer-level data we found in documents that were part of a 2013 rate filing submitted for approval and subsequently disapproved by Maryland regulators. This filing provides the most insight into Allstate’s retention model available to the public, with a level of detail that is typically shielded from public view by Allstate and other insurers. Our analysis revealed that one of the most significant factors correlated with policyholders’ ultimate proposed price shift was how much they were already paying.
AlgoReport  algorithms  discrimination 
5 weeks ago by barbarafister
NIU expert says a new 21st century skill set is needed—algorithmic literacy | NIU Newsroom
An algorithm is a set of rules or instructions, often used by a computer, to perform a task or solve a problem. Algorithms used by companies and marketers often shape what people experience online. But the increasing uses of algorithms, both inside and outside the home, come with pros and cons—and gray areas, too, Guzman says.
AlgoReport  algorithms  algorithmicliteracy 
5 weeks ago by barbarafister
Frontiers | Algorithmic Profiling of Job Seekers in Austria: How Austerity Politics Are Made Effective | Big Data
As of 2020, the Public Employment Service Austria (AMS) makes use of algorithmic profiling of job seekers to increase the efficiency of its counseling process and the effectiveness of active labor market programs.
(re)entering the labor market.
.... the paper sheds light on the coproduction of (semi)automated managerial practices in employment agencies and the framing of unemployment under austerity politics.
AI  employment  discrimination  algorithms  austerity  AlgoReport  government 
5 weeks ago by barbarafister
My Friends, Editors, Algorithms, and I: Examining audience attitudes to news selection: Digital Journalism: Vol 7, No 4
Prompted by the ongoing development of content personalization by social networks and mainstream news brands, and recent debates about balancing algorithmic and editorial selection, this study explores what audiences think about news selection mechanisms and why.
news  journalism  AlgoReport  algorithms 
5 weeks ago by barbarafister
Discrimination in the Age of Algorithms | Journal of Legal Analysis | Oxford Academic
The law forbids discrimination. But the ambiguity of human decision-making often makes it hard for the legal system to know whether anyone has discriminated. To understand how algorithms affect discrimination, we must understand how they affect the detection of discrimination. With the appropriate requirements in place, algorithms create the potential for new forms of transparency and hence opportunities to detect discrimination that are otherwise unavailable.
discrimination  AlgoReport  algorithms 
5 weeks ago by barbarafister
Eyal Weizman | The algorithm is watching you · LRB 19 February 2020
I went to the US embassy in London to apply for a visa. In my interview the officer informed me that my authorisation to travel had been revoked because the ‘algorithm’ had identified a security threat. He said he did not know what had triggered the algorithm but suggested that it could be something I was involved in, people I am or was in contact with, places to which I had travelled (had I recently been in Syria, Iran, Iraq, Yemen, or Somalia or met their nationals?), hotels at which I stayed, or a certain pattern of relations among these things. I
natsec  algorithms  AlgoReport  government  immigration 
5 weeks ago by barbarafister
Emotion AI researchers say overblown claims give their work a bad name - MIT Technology Review
Perhaps you’ve heard of AI conducting interviews. Or maybe you’ve been interviewed by one yourself. Companies like HireVue claim their software can analyze video interviews to figure out a candidate’s “employability score.” ... But many of these promises are unsupported by scientific consensus.
AI  algorithms  discrimination  AlgoReport  ethics 
6 weeks ago by barbarafister
Algorithmic Injustices and Relational Ethics w/ Abeba Birhane - #348
The inherent nature of so much of modern machine learning is to make predictions. An ethical approach to AI demands that we ask hard questions about those impacted by these predictions and assess the “harm of categorization.”
algorithms  machinelearning  ethics  AlgoReport  AI 
6 weeks ago by barbarafister
[2002.05193] A Hierarchy of Limitations in Machine Learning
This paper attempts a comprehensive, structured overview of the specific conceptual, procedural, and statistical limitations of models in machine learning when applied to society. Machine learning modelers themselves can use the described hierarchy to identify possible failure points and think through how to address them, and consumers of machine learning models can know what to question when confronted with the decision about if, where, and how to apply machine learning.
algorithms  AI  machinelearning  AlgoReport 
6 weeks ago by barbarafister
Brussels takes aim at ‘black box’ of online political adverts | Financial Times
Brussels wants to boost scrutiny of the online political advertising served up to voters by big tech platforms such as Facebook and Google in response to concerns that democracy could be destabilised by internet campaigns.
legislation  algorithms  AlgoReport  adtech 
6 weeks ago by barbarafister
Algorithmic bias hurts people with disabilities, too.
Though a huge portion of the population lives with a disability, it comes in many different forms, making bias hard to detect, prove, and design around.
discrimination  algorithms  disability  AlgoReport 
6 weeks ago by barbarafister
Cost Cutting Algorithms Are Making Your Job Search a Living Hell - VICE
Companies are increasingly using automated systems to select who gets ahead and who gets eliminated from pools of applicants. For jobseekers, this can mean a series of bizarre, time-consuming tasks demanded by companies who have not shown any meaningful consideration of them.
AlgoReport  employment  algorithms  automation 
6 weeks ago by barbarafister
Should We Trust Algorithms? · Harvard Data Science Review
There is increasing use of algorithms in the health care and criminal justice systems, and corresponding increased concern with their ethical use. But perhaps a more basic issue is whether we should believe what we hear about them and what the algorithm tells us. It is illuminating to distinguish between the trustworthiness of claims made about an algorithm, and those made by an algorithm, which reveals the potential contribution of statistical science to both evaluation and ‘intelligent transparency.’ In particular, a four-phase evaluation structure is proposed, parallel to that adopted for pharmaceuticals.
trust  AlgoReport  statistics  radlib  solutions  algorithms  ethics 
7 weeks ago by barbarafister
Joy Buolamwini: How I'm fighting bias in algorithms | TED Talk
MIT grad student Joy Buolamwini was working with facial analysis software when she noticed a problem: the software didn't detect her face -- because the people who coded the algorithm hadn't taught it to identify a broad range of skin tones and facial structures. Now she's on a mission to fight bias in machine learning, a phenomenon she calls the "coded gaze." It's an eye-opening talk about the need for accountability in coding ... as algorithms take over more and more aspects of our lives. [TED video]
facialrecognition  discrimination  AlgoReport  algorithms 
7 weeks ago by barbarafister
Algorithmic Experts: Selling Algorithmic Lore on YouTube - Sophie Bishop, 2020
This article considers the growing influence of self-styled algorithmic “experts.” Experts build valuable brands, accumulate notoriety, and piece together careers by selling theorizations of algorithmic visibility on YouTube to aspiring and established creators.
research  AlgoReport  youtube  algorithms  socialmedia 
7 weeks ago by barbarafister
An Algorithm That Grants Freedom, or Takes It Away - The New York Times
Across the United States and Europe, software is making probation decisions and predicting whether teens will commit crime. Opponents want more human oversight.
Algorithms  AlgoReport  sentencing  radlib 
7 weeks ago by barbarafister
The long road to fairer algorithms
An algorithm deployed across the United States is now known to underestimate the health needs of black patients1. The algorithm uses health-care costs as a proxy for health needs. But black patients’ health-care costs have historically been lower because systemic racism has impeded their access to treatment — not because they are healthier.

This example illustrates how machine learning and artificial intelligence can maintain and amplify inequity.
AlgoReport  algorithms  tech&society  ethics  radlib  discrimination  solutions 
7 weeks ago by barbarafister
Why asking an AI to explain itself can make things worse
Creating neural networks that are more transparent can lead us to over-trust them. The solution might be to change how they explain themselves.
machinelearning  tech&society  AI  algorithms  AlgoReport  communication 
8 weeks ago by barbarafister
Automating Society – Taking Stock of Automated Decision-Making in the EU
Systems for automated decision-making or decision support (ADM) are on the rise in EU countries: Profiling job applicants based on their personal emails in Finland, allocating treatment for patients in the public health system in Italy, sorting the unemployed in Poland, automatically identifying children vulnerable to neglect in Denmark, detecting welfare fraud in the Netherlands, credit scoring systems in many EU countries – the range of applications has broadened to almost all aspects of daily life.
AlgoReport  AI  algorithms 
9 weeks ago by barbarafister
The truth behind filter bubbles: Bursting some myths | Reuters Institute for the Study of Journalism
Many voices warn that social media may be filtering out news that we dislike. Here's what the research says about it
personalization  news  journalism  AlgoReport  algorithms 
9 weeks ago by barbarafister
(PDF) The Explanation Game: A Formal Framework for Interpretable Machine Learning | David Watson and Luciano Floridi - Academia.edu
We propose a formal framework for interpretable machine learning. Combining elements from statistical learning, causal interventionism, and decision theory, we design an idealised explanation game in which players collaborate to find the best explanation(s) for a given algorithmic prediction. Through an iterative procedure of questions and answers, the players establish a three-dimensional Pareto frontier that describes the optimal trade-offs between explanatory accuracy, simplicity, and relevance...The game serves a descriptive and a normative function, establishing a conceptual space in which to analyse and compare existing proposals, as well as design new and improved solutions.
machinelearning  algorithms  games  AlgoReport 
10 weeks ago by barbarafister
There's a new obstacle to landing a job after college: Getting approved by AI - CNN
College career centers used to prepare students for job interviews by helping them learn how to dress appropriately or write a standout cover letter. These days, they're also trying to brace students for a stark new reality: They may be vetted for jobs in part by artificial intelligence.
algorithms  hiring  AI  highered  AlgoReport 
10 weeks ago by barbarafister
How Big Tech Manipulates Academia to Avoid Regulation
'The discourse of “ethical AI” was aligned strategically with a Silicon Valley effort seeking to avoid legally enforceable restrictions of controversial technologies.'
ethics  AI  algorithms  radlib 
december 2019 by barbarafister
Algorithmic Injustices: Towards a Relational Ethics
It has become trivial to point out how decision-making processes in various social, political and economical sphere are assisted by automated systems. Improved efficiency, the hallmark of these systems, drives the mass scale integration of automated systems into daily life. However, as a robust body of research in the area of algorithmic injustice shows, algorithmic tools embed and perpetuate societal and historical biases and injustice. In particular, a persistent recurring trend within the literature indicates that society's most vulnerable are disproportionally impacted. When algorithmic injustice and bias is brought to the fore, most of the solutions on offer 1) revolve around technical solutions and 2) do not focus centre disproportionally impacted groups. This paper zooms out and draws the bigger picture. It 1) argues that concerns surrounding algorithmic decision making and algorithmic injustice require fundamental rethinking above and beyond technical solutions, and 2) outlines a way forward in a manner that centres vulnerable groups through the lens of relational ethics.
algorithms  ethics  AI  AlgoReport 
december 2019 by barbarafister
A tug-of-war over biased AI - Axios
The idea that AI can replicate or amplify human prejudice, once argued mostly at the field's fringes, has been thoroughly absorbed into its mainstream: Every major tech company now makes the necessary noise about "AI ethics."

Yes, but: A critical split divides AI reformers. On one side are the bias-fixers, who believe the systems can be purged of prejudice with a bit more math. (Big Tech is largely in this camp.) On the other side are the bias-blockers, who argue that AI has no place at all in some high-stakes decisions.
AI  bias  algorithms  ethics  tech&society  PILprimer  radlib  AlgoReport 
december 2019 by barbarafister
Biased Algorithms Are Easier to Fix Than Biased People - The New York Times
Racial discrimination by algorithms or by people is harmful — but that’s where the similarities end.
algorithms  bias  discrimination  AI  PILPrimer  radlib  AlgoReport 
december 2019 by barbarafister
Systemic Algorithmic Harms - Data & Society: Points
Theories of “bias” alone will not enable us to engage in critiques of broader socio-technical systems.
algorithms  bias  discrimination  PILprimer  AlgoReport 
december 2019 by barbarafister
The growing ubiquity of algorithms in society: implications, impacts and innovations | Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
The growing ubiquity of algorithms in society raises a number of fundamental questions concerning governance of data, transparency of algorithms, legal and ethical frameworks for automated algorithmic decision-making and the societal impacts of algorithmic automation itself. This article, an introduction to the discussion meeting issue of the same title, gives an overview of current challenges and opportunities in these areas, through which accelerated technological progress leads to rapid and often unforeseen practical consequences. These consequences—ranging from the potential benefits to human health to unexpected impacts on civil society—are summarized here, and discussed in depth by other contributors to the discussion meeting issue. [special issue, 2018]
algorithms  PILprimer  tech&society  AlgoReport 
december 2019 by barbarafister
Human biases are baked into algorithms. Now what? - Marketplace
Algorithms, the computer programs that decide so many things about our lives these days, work with the human data we feed them. That data, of course, can be biased based on race, gender and other factors. [interview with Safiya Noble]
tech&society  algorithms  PILprimer  radlib  discrimination  AlgoReport 
december 2019 by barbarafister
Is AI Bias a Corporate Social Responsibility Issue?
By Mutale Nkonde "Algorithms cannot be trained to understand social context...the decisions made using dirty data are fed back into the training datasets and are then used to evaluate new information. This could create a toxic feedback loop, in which decisions based on historical biases continue to be made in perpetuity."
algorithms  bias  discrimination  AI  PILprimer  AlgoReport 
november 2019 by barbarafister
A Health Care Algorithm Offered Less Care to Black Patients | WIRED
Care for some of the sickest Americans is decided in part by algorithm. New research shows that software guiding care for tens of millions of people systematically privileges white patients over black patients. Analysis of records from a major US hospital revealed that the algorithm used effectively let whites cut in line for special programs for patients with complex, chronic conditions such as diabetes or kidney problems.
PILprimer  socialjustice  algorithms  diversity  radlib  AlgoReport 
october 2019 by barbarafister
Remarks at the SASE Panel On The Moral Economy of Tech
Machine learning is like money laundering for bias. ... The connected world we're building may resemble a computer system, but really it's just the regular old world from before, with a bunch of microphones and keyboards and flat screens sticking out of it. And it has the same old problems.

Approaching the world as a software problem is a category error that has led us into some terrible habits of mind.
AI  tech&society  machinelearning  PILprimer  algorithms  AlgoReport 
october 2019 by barbarafister
Can you make AI fairer than a judge? Play our courtroom algorithm game - MIT Technology Review
The US criminal legal system uses predictive algorithms to try to make the judicial process less biased. But there’s a deeper problem.
algorithms  PILprimer  bias  AI  COMPAS  sentencing  AlgoReport 
october 2019 by barbarafister
College admissions officers rank prospective students based on web browsing, family finances and other data - The Washington Post
Before many schools even look at an application, they comb through prospective students’ personal data, such as web-browsing habits and financial history.
edtech  privacy  PILprimer  algorithms  AlgoReport 
october 2019 by barbarafister
All Hail the Algorithm - Al Jazeera English
A five-part series exploring the impact of algorithms on our everyday lives.
algorithms  PILprimer  AlgoReport 
october 2019 by barbarafister
Power, Process, and Automated Decision-Making by Ari Ezra Waldman :: SSRN
Many decisions that used to be made by humans are now made by machines. And yet, automated decision-making systems based on “big data” – powered algorithms and machine learning are just as prone to mistakes, biases, and arbitrariness as their human counterparts. The result is a technologically driven decision-making process that seems to defy interrogation, analysis, and accountability and, therefore, undermines due process. This should make algorithmic decision-making an illegitimate source of authority in a liberal democracy. This Essay argues that algorithmic decision-making is a product of the neoliberal project to undermine social values like equality, nondiscrimination, and human flourishing and, therefore, is only legitimate in a society that promotes neoliberal efficiency, technological solution-ism, and market freedoms over all other values. I then propose a new way to rein in the excesses of automated systems.
PILprimer  algorithms  tech&society  radlib  AlgoReport 
october 2019 by barbarafister
YouTube is experimenting with ways to make its algorithm even more addictive - MIT Technology Review
Publicly, the platform says it’s trying to do what it can to minimize the amplification of extreme content. But it’s still looking for ways to keep users on the site.
YouTube  algorithms  PILprimer  AlgoReport 
september 2019 by barbarafister
How algorithms create a 'digital underclass'
Architecture is an interesting metaphor for algorithms and the construction of digital space. When we think about the way that our physical infrastructure reflects and reproduces all kinds of values and assumptions, we could also take that lens and apply it to the digital world," Benjamin told IDEAS. 
tech&society  algorithms  PILprimer  racism  AlgoReport 
september 2019 by barbarafister
How Algorithms Amplify Our Own Biases And Shape What We See Online | Talking Points Memo
Social platforms are designed in ways that make critical consumption hard and the sharing of unsubstantiated “truthy” claims easy. At the same time, more of us are getting more of our news from our social feeds, and we haven’t even talked about the role that social media plays in how print, radio, and television journalists find their scoops and frame their stories. Left unchecked, fake news, filter bubbles, and polarization will only get worse. And given the importance of an informed electorate to a democratic republic, the algorithmic news feed represents a real threat to democracy.
tech&society  algorithms  PILprimer  AlgoReport 
august 2019 by barbarafister
Who’s to Blame When Algorithms Discriminate? - The New York Times
The problem that we have is that more and more, industry players are relying on artificial intelligence,” said Lisa Rice, the president of the National Fair Housing Alliance. “They’re relying on machine learning. They’re relying on algorithmic-based systems for more and more of the functions of the housing market.”

Online ads for rental housing are targeted in ways that mean, for example, that African-American would-be tenants may never see them. Decisions are based on credit scores that perceive families who use payday lenders — who are more likely to be African-American — as having no credit at all.
PILprimer  algorithms  radlib  AlgoReport 
august 2019 by barbarafister
From Trump to Fox News to 8chan: the web of white supremacist rhetoric is wide | Siva Vaidhyanathan | Opinion | The Guardian
Trump is a politician perfectly fitted for a media ecosystem that amplifies extreme emotions, resists complex or nuanced thought, impedes deliberation and allows the loud to drown out the calm.
algorithms  bigotry  racism  whitesupremacy  tech&society  radlib 
august 2019 by barbarafister
Radical ideas spread through social media. Are the algorithms to blame? | NOVA | PBS | NOVA | PBS
Behind every Facebook ad, Twitter feed, and YouTube recommendation is an algorithm that’s designed to keep users using: It tracks preferences through clicks and hovers, then spits out a steady stream of content that’s in line with your tastes. The longer you spend on the platform, the better the algorithm is doing—and the deeper down various rabbit holes you go.

Some of these forays are harmless; many end in nothing more than an innocuous kitten video or a list of things that will (and definitely won’t) survive your microwave.

But others can have more dire consequences. Guided by suggested hyperlinks and auto-fills in search bars, web surfers are being nudged in the direction of political or unscientific propaganda, abusive content, and conspiracy theories
fakenews  news  tech&society  algorithms  socialmedia  PILprimer  AlgoReport 
august 2019 by barbarafister
Franken-algorithms: the deadly consequences of unpredictable code | Technology | The Guardian
If the algorithms around us are not yet intelligent, meaning able to independently say “that calculation/course of action doesn’t look right: I’ll do it again”, they are nonetheless starting to learn from their environments. And once an algorithm is learning, we no longer know to any degree of certainty what its rules and parameters are. At which point we can’t be certain of how it will interact with other algorithms, the physical world, or us. Where the “dumb” fixed algorithms – complex, opaque and inured to real time monitoring as they can be – are in principle predictable and interrogable, these ones are not. After a time in the wild, we no longer know what they are: they have the potential to become erratic.
algorithms  tech&society  PILprimer  AlgoReport 
august 2019 by barbarafister
Algorithms have already taken over human decision making
In the past, we humans used technology as a tool. Now, technology has advanced to the point where it is using and even controlling us.

We humans are not merely cut off from the decisions that machines are making for us but deeply affected by them in unpredictable ways. Instead of being central to the system of decisions that affects us, we are cast out in to its environment. We have progressively restricted our own decision-making capacity and allowed algorithms to take over. We have become artificial humans, or human artefacts, that are created, shaped and used by the technology.
algorithms  PILprimer  AlgoReport 
august 2019 by barbarafister
Combatting Fake News With Interpretable News Feed Algorithms
We reviewed fake news in social media over three mainstages and discussed current methods and tools for analyz-ing and detecting potentially false content. We then focusedon limitations and risks (e.g., misuse of user data) of us-ing personalized content selection algorithms in social me-dia. We argue that the large-scale targeted propagation ofcontent for political gain using personalized news feed maycause polarized social media and spreading of fake content.After reviewing current research on fake news detection and personalized news feed algorithms, we suggest interpretable news feed algorithms as a potential solution to increase user awareness and hold users accountable for their own content rather than algorithms with undisclosed/opaque objectives.
news  algorithms  PILprimer  filterbubble  fakenews  AlgoReport 
august 2019 by barbarafister
7 things we’ve learned about computer algorithms | Pew Research Center
Algorithms are all around us, using massive stores of data and complex analytics to make decisions with often significant impacts on humans – from choosing the content people see on social media to judging whether a person is a good credit risk or job candidate. Pew Research Center released several reports in 2018 that explored the role and meaning of algorithms in people’s lives today. Here are some of the key themes that emerged from that research.
algorithms  PILprimer  AlgoReport 
july 2019 by barbarafister
The Hidden Costs of Automated Thinking | The New Yorker
[after describing a drug, the underlying mechanism of which is unknown] "...No one can say how it works. This approach to discovery—answers first, explanations later—accrues what I call intellectual debt. It’s possible to discover what works without knowing why it works, and then to put that insight to use immediately, assuming that the underlying mechanism will be figured out later. In some cases, we pay off this intellectual debt quickly. But, in others, we let it compound, relying, for decades, on knowledge that’s not fully known." AI is like this - our understanding is far behind its development, so we go deeper and deeper into intellectual debt to those who control the AI.
PILprimer  algorithms  intellectualdebt  machinelearning  AI  AlgoReport 
july 2019 by barbarafister
Pedagogy and the Logic of Platforms | EDUCAUSE
Using higher education to "save the web" means leveraging the classroom to make visible the effects of surveillance capitalism. It means more clearly defining and empowering the notion of consent. Most of all, it means envisioning, with students, new ways to exist online.
ND  socialmedia  pedagogy  algorithms  hypervisible 
july 2019 by barbarafister
Google tweaked algorithm after rise in US shootings | Technology | The Guardian
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Authority, by Google’s definition, means pages that comply with the company’s search quality evaluator guidelines, a 166-page document (PDF) that the company distributes to its 16,000 search quality raters.

Those employees are responsible for checking tweaks to Google’s algorithm to ensure that they give the best results, rating search results on two scales: one that marks whether the searcher’s needs are met (if the search is for “Google Jobs”, for instance, a maps result showing the location of Google’s head office “fails to meet” needs, while the company’s career’s page “fully meets”), and a second that marks the page’s quality, defined over 80 pages of the guidelines with “very high quality MC” (main content), “very high level of E-A-T” (expertise, authoritativeness, trustworthiness) and “very positive reputation”.
algorithms  shadowwork  authority  Google  radlib 
july 2019 by barbarafister
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