Code Dependent by Madhumita Murgia review understanding the human impacts of AI
Code is not neutral and can have unintended consequences.
AI systems can benefit some at the expense of others, especially marginalized communities.
The long and the short of our confidence in AI
The move-fast digital economy has led to significant negative impacts on people's lives, highlighting the urgent need to address bias and discrimination in AI.
AI discrimination lawsuit reaches $2.2 million settlement
Algorithmic bias in rental applications can lead to discrimination, as highlighted by Mary Louis's case.
Women in AI: Sandra Watcher, professor of data ethics at Oxford | TechCrunch
TechCrunch launches AI-focused women interviews to highlight their contributions.
Sandra Wachter evaluates ethical and legal aspects of AI, focusing on fairness and tackling disinformation.
Code Dependent by Madhumita Murgia review understanding the human impacts of AI
Code is not neutral and can have unintended consequences.
AI systems can benefit some at the expense of others, especially marginalized communities.
The long and the short of our confidence in AI
The move-fast digital economy has led to significant negative impacts on people's lives, highlighting the urgent need to address bias and discrimination in AI.
AI discrimination lawsuit reaches $2.2 million settlement
Algorithmic bias in rental applications can lead to discrimination, as highlighted by Mary Louis's case.
Women in AI: Sandra Watcher, professor of data ethics at Oxford | TechCrunch
TechCrunch launches AI-focused women interviews to highlight their contributions.
Sandra Wachter evaluates ethical and legal aspects of AI, focusing on fairness and tackling disinformation.
AI models describe nurses as women reflecting gender bias, study says
AI-generated stories reflect gender stereotypes in medicine despite increased representation of women as doctors, indicating potential algorithmic biases.
Robot versus human: How will you plan for retirement?
AI can augment but not replace human financial advisers, as emotional nuances in advice require human involvement.
What the AI debate is really about
The discourse around AI should focus on nuanced discussions rather than simplistic binaries of 'doomers' vs. 'optimists'.
AI and the Human Mind: Uncovering the Machine "Unconscious"
AI mirrors aspects of the human mind due to its design by human creators, revealing insights into our own unconscious.
AI models describe nurses as women reflecting gender bias, study says
AI-generated stories reflect gender stereotypes in medicine despite increased representation of women as doctors, indicating potential algorithmic biases.
Robot versus human: How will you plan for retirement?
AI can augment but not replace human financial advisers, as emotional nuances in advice require human involvement.
What the AI debate is really about
The discourse around AI should focus on nuanced discussions rather than simplistic binaries of 'doomers' vs. 'optimists'.
AI and the Human Mind: Uncovering the Machine "Unconscious"
AI mirrors aspects of the human mind due to its design by human creators, revealing insights into our own unconscious.
The City Council is focused on oversight of AI in government to address discrimination and ensure algorithmic integrity.
Civil Rights Commission Pans Face Recognition Technology
The U.S. Commission on Civil Rights cautions against the federal government's use of face recognition technology due to its civil rights implications.
Silver Lining or Just a Glimmer? Revisiting Algorithm Bias (Part 2)
Using machine learning to detect and address algorithmic bias offers potential benefits, but challenges in accuracy and reliability complicate the approach.
A race-free algorithm is merely the start for a safety net hospital confronting an onslaught of kidney disease
One Brooklyn Health is leading efforts to remove race from kidney function assessments, but challenges remain due to systemic health disparities.
Ethical Considerations of Hiring Fairly in the Age of AI & Algorithms | HackerNoon
AI's integration into recruitment enhances efficiency but poses ethical risks like algorithmic bias, creating new challenges in fair hiring practices.
Algorithms can remove bias blind spots, study shows
Algorithmic bias can both perpetuate societal biases and help reveal hidden biases in individuals.
Meta's AI image generator won't create photo of Asian dating white person - even though Mark Zuckerberg is married to Priscilla Chan
Meta's AI tool Imagine refuses to generate images of interracial couples, highlighting biases in AI systems.
Critics argue that AI image generators reflect biases of software engineers who program them.
The White House lays out extensive AI guidelines for the federal government
Agencies must mitigate algorithmic bias in AI use
New OMB policy requires safeguarding AI impacts on Americans' rights and safety
Mutale Nkonde's nonprofit is working to make AI less biased | TechCrunch
AI For the People (AFP) is led by Mutale Nkonde, focusing on increasing Black voices in tech and advocating for policies against algorithmic bias.
Nkonde's interest in AI stemmed from witnessing algorithmic bias in social media, leading to her involvement in addressing racial literacy in tech.
AI is coming for your job application long before it comes for your job
AI is being used in HR software to analyze candidates' facial movements, tone of voice, and social media profiles to determine job fit.
Despite the promises of AI in HR, there is often a lack of transparency and understanding of the science behind the analysis.