ai bias - Tech News from Simmons Systems (Page 2)

Tech News from Simmons Systems

ai bias

A collection of 32 posts

artificial intelligence

IEEE Spectrum Highlights Persistent Flaws in Modern Machine Learning

A year-end review of 2021's top artificial intelligence stories reveals a strong focus on the fundamental problems and biases plaguing current machine learning systems.

UNESCO Establishes Global Ethical Guardrails for Artificial Intelligence

UNESCO leads the creation of the world's most comprehensive international framework for AI ethics, adopted by 193 Member States to protect human rights and ensure inclusive technological development.

Arize AI Secures $19 Million to Tackle Machine Learning Bias and Observability

Arize AI raises a $19 million Series A round led by Battery Ventures to expand its machine learning observability platform. The funding aims to help companies monitor AI systems for performance issues and unfair bias.

DEF CON Contest Reveals Twitter's Image Algorithm Favors Youth and Fair Skin

A recent algorithmic bias bounty at DEF CON shows that Twitter's automated image cropping tool favors younger, thinner, and lighter-skinned individuals while actively cropping out wheelchair users.

DeepMind AGI Research Highlights Widespread Unreadiness for Ethical AI

A groundbreaking DeepMind paper argues that reinforcement learning accelerates the path to artificial general intelligence, raising urgent ethical concerns.

artificial intelligence

Machine Learning Flaws Dominate 2021 Artificial Intelligence Landscape

IEEE Spectrum reflects on the most significant AI stories of 2021, revealing a dominant focus on the inherent flaws and biases within modern machine learning systems.

artificial intelligence

IEEE Spectrum Reflects on AI's Persistent Flaws in 2021

A year-end review of 2021's top artificial intelligence stories reveals a strong focus on the fundamental problems plaguing modern machine learning systems. The coverage highlights ongoing industry struggles with bias, reliability, and lack of transparency.

artificial intelligence

IEEE Spectrum Reflects on Machine Learning Flaws in 2021

IEEE Spectrum looks back at the top artificial intelligence stories of 2021, revealing a strong focus on the current shortcomings of machine learning systems. The year-end analysis highlights ongoing industry struggles with AI reliability and bias.

artificial intelligence

IEEE Spectrum Reflects on AI's Persistent Flaws in 2021

A year-end review of top artificial intelligence stories reveals a strong focus on the inherent problems and biases within modern machine learning systems.

artificial intelligence

IEEE Spectrum Reflects on Machine Learning's Fundamental Flaws in 2021

A year-end review of 2021's top artificial intelligence stories reveals a strong focus on the current shortcomings and biases within machine learning systems. The coverage highlights ongoing industry challenges rather than just celebrating technological breakthroughs.

artificial intelligence

IEEE Spectrum Reflects on Machine Learning's Critical Flaws in 2021

A year-end review highlights how the top artificial intelligence stories of 2021 focus heavily on the current shortcomings and biases of machine learning systems. The analysis reveals a growing industry awareness of what is fundamentally broken in modern AI.

Google Unveils AI Skin Analysis Tool Amid Clinical Concerns

Google introduces a new artificial intelligence tool that analyzes photos to identify potential skin conditions. The app faces scrutiny from medical professionals regarding diagnostic accuracy and racial bias in training data.

FTC Warns Companies That Biased AI Algorithms Face Strict Enforcement Actions

The Federal Trade Commission issues new guidance warning businesses that failing to address racial or gender bias in artificial intelligence systems results in legal liability and potential enforcement actions.

facial recognition

Tech Firms Restrict Police Access to Facial Recognition Tools

Major technology companies are actively limiting law enforcement access to facial recognition software due to concerns about accuracy and racial bias. This shift reflects growing public pressure to address the ethical implications of surveillance technology.