Image generation:AI-based image generation systems can inherit biases present in their training data. For example, an image generator might underrepresent or misrepresent certain racial or cultural groups, leading to stereotypes or exclusion in the produced images. Content recommendation:Algorithms can pe...
machine-learning#ai-bias#image-generation-models#automated-bias-detection#biaspainter#social-bias-detection#metamorphic-testing#ai-bias-evaluation#ai-testing-frameworks THIS ARTICLE WAS FEATURED IN... Permanent on Arweave Terminal Lite Also published here ...
Image generation—Academic researchfound bias in the generative AI art generation application Midjourney. When asked to create images of people in specialized professions, it showed both younger and older people, but the older people were always men, reinforcing gendered bias of the role of women i...
text-to-imagediversitypharmacistINTRODUCTION. In Australia, 64% of pharmacists are women but continue to be under-represented. Generative artificial intelligence (AI) is potentially transformative but also has the potential for errors, misrepresentations, and bias. Generative AI text-to-image production...
When Google took itsGemini image-generation feature offline last monthfor further testing because of issues related to bias, it raised red flags about the potential dangers of generative artificial intelligence, not just the positive changes the technology promises to usher in. ...
How BiasPainter Assesses Social Bias: Experimental Setup and Tests for Top Image Generation Models Tech Media Bias [Research Publication] Aug 06, 2024 3m #ai-bias Can BiasPainter Help Curb Bias in AI? Tech Media Bias [Research Publication] Aug 06, 2024 2m #ai-bias Quantifying Bias in Imag...
Over the next few years, it’s going to be critical to bring the public into the AI conversation. People need to be aware of the positive implications, as well as the risks, that AI will have on their lives. The better the next generation understands AI and its societal and ethical ...
The literature addressing bias and fairness in AI models (fair-AI) is growing at a fast pace, making it difficult for novel researchers and practitioners t
Intel® Gaudi® 2 AI Processor Power Social Counterfactual Breakthrough At a Glance The Challenge • Researchers at Intel Labs construct innovative datasets based on social counterfactuals, which yield unprecedented results in reducing the impact of gender, race, and other social attribute...
What is known about age-related bias in AI technology? 2. What literature exists on the extent of age-related bias in AI systems? 3. How do AI systems encode, produce, or reinforce age-related bias? 4. What are the societal, legal, and ethical implications of age-related bias in AI ...