machine bias | ResearchBuzz: Firehose

August 28, 2023

The Next Web: Autonomous cars worse at detecting children and dark-skinned pedestrians, study finds

The Next Web: Autonomous cars worse at detecting children and dark-skinned pedestrians, study finds. “Researchers from King’s College London (KCL) tested the software on over 8,000 images of pedestrians. They found that the average detection accuracy was almost 20% higher for adults than it was for children. The systems were also 7.5% more accurate for light-skinned pedestrians than hey were for darker-skinned ones.” And for night driving conditions, as you might expect, it’s even worse.

August 5, 2023

University of Michigan: Building reliable AI models requires understanding the people behind the datasets, UMSI researchers say

University of Michigan: Building reliable AI models requires understanding the people behind the datasets, UMSI researchers say. “Social media companies are increasingly relying on complex algorithms and artificial intelligence to detect offensive behavior online. These algorithms and AI systems all rely on data to learn what is offensive. But who’s behind the data, and how do their backgrounds influence their decisions?”

Security & Legal Issues 0

July 31, 2023

Stanford Law School: Rethinking Algorithmic Decision-Making

Stanford Law School: Rethinking Algorithmic Decision-Making. “In a new paper, Stanford University authors, including Stanford Law Associate Professor Julian Nyarko, illuminate how algorithmic decisions based on ‘fairness’ don’t always lead to equitable or desirable outcomes.”

Research & Opinion 0

July 12, 2023

University of Copenhagen: ChatGPT promotes American norms and values

University of Copenhagen: ChatGPT promotes American norms and values. “ChatGPT, the revolutionary new AI chatbot, reflects American norms and values – even when queried about other countries and cultures. The mismatch has been demonstrated in research from the University of Copenhagen. The AI spun web of cultural bias is a major problem according to the study’s researchers.”

Research & Opinion 0

July 8, 2023

New York Times: Black Artists Say A.I. Shows Bias, With Algorithms Erasing Their History

New York Times: Black Artists Say A.I. Shows Bias, With Algorithms Erasing Their History. “Many Black artists are finding evidence of racial bias in artificial intelligence, both in the large data sets that teach machines how to generate images and in the underlying programs that run the algorithms. In some cases, A.I. technologies seem to ignore or distort artists’ text prompts, affecting how Black people are depicted in images, and in others, they seem to stereotype or censor Black history and culture.”

Around the Search & Social Media World 0

June 4, 2023

CFPB: Algorithms, artificial intelligence, and fairness in home appraisals

CFPB: Algorithms, artificial intelligence, and fairness in home appraisals. “Today, the CFPB is taking another step toward accountability for automated systems and models, sometimes marketed as artificial intelligence (AI). The CFPB is proposing a rule to make home appraisals computed by algorithms fairer and more accurate. This initiative is one of many steps we are taking to ensure that algorithms and AI are complying with existing law.”

Security & Legal Issues 0

May 24, 2023

Stanford University: Assessing Political Bias in Language Models

Stanford University: Assessing Political Bias in Language Models. “…new research from Stanford University has quantified exactly how well (or, actually, how poorly) [Large Language Models] align with opinions of U.S. demographic groups, showing that language models have a decided bias on hot-button topics that may be out of step with general popular sentiment.”

Research & Opinion 0

May 20, 2023

Nature: Why AI’s diversity crisis matters, and how to tackle it

Nature: Why AI’s diversity crisis matters, and how to tackle it. “Artificial intelligence (AI) is facing a diversity crisis. If it isn’t addressed promptly, flaws in the working culture of AI will perpetuate biases that ooze into the resulting technologies, which will exclude and harm entire groups of people. On top of that, the resulting ‘intelligence’ will be flawed, lacking varied social-emotional and cultural knowledge.”

Research & Opinion 0

May 13, 2023

The downside of AI: Former Google scientist Timnit Gebru warns of the technology’s built-in biases (The Globe and Mail)

The Globe and Mail: The downside of AI: Former Google scientist Timnit Gebru warns of the technology’s built-in biases. “When Ms. Gebru – who’s 39 and holds a bachelor’s degree in electrical engineering and a PhD in computer vision from Stanford University – started her career, she stood out. She’s Black, a woman and works in an industry famously lacking in diversity. She moved to the U.S. as a teenager to escape the 1998-2000 Eritrean-Ethiopian War. The discrimination she faced after moving and throughout her career has left a lasting mark.”

Research & Opinion 0

February 11, 2023

‘There is no standard’: investigation finds AI algorithms objectify women’s bodies (The Guardian)

The Guardian: ‘There is no standard’: investigation finds AI algorithms objectify women’s bodies. “AI tools rate photos of women as more sexually suggestive than those of men, especially if nipples, pregnant bellies or exercise is involved.” Considering Facebook’s longstanding history of incorrectly moderating anything vaguely resembling a breast, I can’t say I’m shocked.

Research & Opinion 0

January 19, 2023

FedScoop: NTIA launches probe into discriminatory data practices and civil rights

FedScoop: NTIA launches probe into discriminatory data practices and civil rights. “[The National Telecommunications and Information Administration] will focus its inquiry on discriminatory data practices related to: online job discrimination based on demographic characteristics; apps that collect and sell location data about user movement, particularly dating and religious apps; and the heightened cost of data breaches on low-income communities.”

Security & Legal Issues 0

November 3, 2022

Motherboard: This Tool Lets Anyone See the Bias in AI Image Generators

Motherboard: This Tool Lets Anyone See the Bias in AI Image Generators. “Called the Stable Diffusion Bias Explorer, the project is one of the first interactive demonstrations of its kind, letting users combine different descriptive terms and see firsthand how the AI model maps them to racial and gender stereotypes.”

Research & Opinion 0

November 1, 2022

Harvard Business School: When Bias Creeps into AI, Managers Can Stop It by Asking the Right Questions

Harvard Business School: When Bias Creeps into AI, Managers Can Stop It by Asking the Right Questions. “Even when companies actively try to prevent it, bias can sway algorithms and skew decision-making. Ayelet Israeli and Eva Ascarza offer a new approach to make artificial intelligence more accurate.”

Research & Opinion 0

September 10, 2022

University of Alberta: AI researchers improve method for removing gender bias in natural language processing

University of Alberta: AI researchers improve method for removing gender bias in natural language processing. “Researchers have found a better way to reduce gender bias in natural language processing models while preserving vital information about the meanings of words, according to a recent study that could be a key step toward addressing the issue of human biases creeping into artificial intelligence.”

Research & Opinion 0

August 18, 2022

WIRED: How to Stop Robots From Becoming Racist

WIRED: How to Stop Robots From Becoming Racist. “The doll test was invented to better understand the evil consequences of separate and unequal treatment on the self-esteem of Black children in the United States. Lawyers from the NAACP used the results to successfully argue in favor of the desegregation of US schools. Now AI researchers say robots may need to undergo similar tests to ensure they treat all people fairly.”

Research & Opinion 0

The Next Web: Autonomous cars worse at detecting children and dark-skinned pedestrians, study finds

University of Michigan: Building reliable AI models requires understanding the people behind the datasets, UMSI researchers say

Stanford Law School: Rethinking Algorithmic Decision-Making

University of Copenhagen: ChatGPT promotes American norms and values

CFPB: Algorithms, artificial intelligence, and fairness in home appraisals

Stanford University: Assessing Political Bias in Language Models

Nature: Why AI’s diversity crisis matters, and how to tackle it

The downside of AI: Former Google scientist Timnit Gebru warns of the technology’s built-in biases (The Globe and Mail)

‘There is no standard’: investigation finds AI algorithms objectify women’s bodies (The Guardian)

FedScoop: NTIA launches probe into discriminatory data practices and civil rights

Motherboard: This Tool Lets Anyone See the Bias in AI Image Generators

Harvard Business School: When Bias Creeps into AI, Managers Can Stop It by Asking the Right Questions

University of Alberta: AI researchers improve method for removing gender bias in natural language processing

WIRED: How to Stop Robots From Becoming Racist

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