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As AI tools get smarter, they're growing more covertly racist, experts find
Original article seen at: www.theguardian.com on March 16, 2024
tldr
- 🔍 AI models like ChatGPT and Gemini are found to hold racist stereotypes against speakers of AAVE.
- ⚠️ The AI models were more likely to describe AAVE speakers negatively and assign them to lower-paying jobs.
- 📈 As language models grow, covert racism increases. Ethical guardrails only teach these models to be more discreet about their biases.
summary
A recent report reveals that popular AI tools like OpenAI's ChatGPT and Google's Gemini are becoming more covertly racist as they advance. The study, conducted by a team of technology and linguistics researchers, found that these AI models hold racist stereotypes about speakers of African American Vernacular English (AAVE). The AI models were found to be more likely to describe AAVE speakers as 'stupid' and 'lazy', and assign them to lower-paying jobs. The models were also more likely to recommend the death penalty for hypothetical criminal defendants that used AAVE in their court statements. The researchers warn that as language models grow, covert racism increases. Ethical guardrails, they learned, simply teach language models to be more discreet about their racial biases.starlaneai's full analysis
The findings of the study could have significant implications for the AI industry. It highlights the urgent need for more robust ethical guardrails and stricter regulations in the development and use of AI models. The issue of AI bias is not new, but the study brings to light the covert racism in AI models, a topic that has not been extensively explored before. This could lead to more research and development in this area, and potentially, the development of more fair and unbiased AI models. However, addressing AI bias is a complex task that requires a multidisciplinary approach, involving AI developers, linguists, ethicists, and policymakers. There may also be resistance from some stakeholders who may view stricter regulations as a hindrance to innovation. Nonetheless, the potential societal and ethical implications of biased AI models necessitate urgent action.
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starlaneai's Ratings & Analysis
Technical Advancement
70 The technical advancement of AI models is significant, but the discovery of their covert racism is alarming. It shows that as these models advance, they also become more adept at hiding their biases.
Adoption Potential
60 The widespread adoption of these AI models in various sectors, including job screening and legal research, is concerning given their inherent biases.
Public Impact
80 The public impact of these findings is high, as it raises serious concerns about the fairness and impartiality of AI models.
Innovation/Novelty
45 The novelty of the research lies in its focus on covert racism in AI models, a topic that has not been extensively explored before.
Article Accessibility
50 The article is moderately accessible, with some technical jargon that may be difficult for a general audience to understand.
Global Impact
35 The global impact is moderate, as the issue of AI bias is a global concern, but the study specifically focuses on AAVE, a dialect spoken primarily in the United States.
Ethical Consideration
90 The article scores high on ethical consideration, as it brings to light the ethical issues surrounding AI bias and calls for more regulation in the use of AI models.
Collaboration Potential
40 The collaboration potential is moderate. The findings of the study could spur collaborations between AI developers, linguists, and ethicists to address the issue of AI bias.
Ripple Effect
75 The ripple effect is high, as the findings could impact various sectors where AI models are used, including employment and legal sectors.
Investment Landscape
50 The AI investment landscape could be affected as investors may become more cautious about investing in AI models without proper ethical guardrails.