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Algorithms help people see and correct their biases, study shows

Economic TimesEconomic Times · 1y ago
Algorithms help people see and correct their biases, study shows
Medial

Algorithms play a significant role in our lives, as they help us make decisions and find the information we need. However, algorithms are not immune to bias, as they can reflect and perpetuate human biases. Algorithmic recommendations often prioritize popular choices and tend to amplify biases in areas such as race, gender, and wealth inequality. On the other hand, algorithms can also be used to uncover biases within organizations and individuals. Studies have shown that people are more likely to recognize and correct their own biases when they see them reflected in algorithmic decisions. Overall, algorithms can serve as a corrective tool in reducing bias and improving decision-making.

Related News

This Week in AI: Addressing racism in AI image generators

TechCrunchTechCrunch · 1y ago
This Week in AI: Addressing racism in AI image generators
Medial

Google has paused its AI chatbot Gemini's ability to generate images of people due to complaints about historical inaccuracies and biases. Gemini, like other AI vendors, had implemented hardcoding to attempt to correct biases in its model. Google's approach to race-based prompts in Gemini concealed the model's biases instead of addressing them head-on. Additionally, other AI stories of note include how AI models seem to have internalized similar meanings to humans, machine learning being used for perceptual compression in prosthetic vision, and the usefulness of language models in chemistry and image search. However, caution is advised as imagery found via Google tends to enforce gender stereotypes and biases.

Google Tells Anti-Woke Babies That Gemini’s Black Vikings Missed The Mark

GizmodoGizmodo · 1y ago
Google Tells Anti-Woke Babies That Gemini’s Black Vikings Missed The Mark
Medial

Google's AI chatbot Gemini has been facing criticism for consistently producing images of white people as people of color. This has sparked outrage and accusations of racism against white people from the anti-woke community. Although AI image generators have historically struggled to depict people of color accurately, Google has acknowledged the error and stated their commitment to improving the depictions. However, this issue of misrepresentation should not overshadow the larger problem of technological biases, as AI tools often amplify existing societal biases. The tech industry, which is predominantly white, needs to address these biases and work towards more inclusive and fair AI models.

AI language models can exceed PNG and FLAC in lossless compression, says study

ArstechnicaArstechnica · 1y ago
AI language models can exceed PNG and FLAC in lossless compression, says study
Medial

In a recent study, researchers found that the DeepMind large language model (LLM), Chinchilla 70B, can perform better lossless compression than traditional algorithms designed specifically for the task. It was able to compress image patches to 43.4% and audio samples to 16.4% of their original sizes, outperforming the PNG and FLAC algorithms, respectively. The study suggests that language models like Chinchilla can be effective in compressing various types of data, expanding their potential beyond text prediction and writing. The relationship between compression and intelligence is also being explored, with some considering effective compression as a form of general intelligence.

Team of experts found ways to help young people addicted to social media to cut the craving

Economic TimesEconomic Times · 1y ago
Team of experts found ways to help young people addicted to social media to cut the craving
Medial

A team of researchers has developed a four-week intervention program to help young people combat social media addiction. More than 500 college students participated in the study, setting goals to reduce their time spent on social media and reflecting on their experiences. The intervention significantly reduced addiction levels, with those starting with problematic or clinical addiction showing a 26% and 35% mean reduction, respectively. Participants reported positive changes in their relationships with social media and an increased focus on genuine communication rather than mindless scrolling. Taking practical steps like turning off notifications and curating their social media feeds can also help reduce dependence on social media.

Swipe left! AI-generated bots proliferate online dating space

Economic TimesEconomic Times · 1y ago
Swipe left! AI-generated bots proliferate online dating space
Medial

A recent survey conducted by cybersecurity firm McAfee reveals that scammers are increasingly using AI-generated bots to deceive users on dating websites, with 26% of Indians encountering AI-generated bots instead of real people. The study also found that 39% of Indians engaging in conversations with potential love interests online were actually interacting with scammers. McAfee warns that AI tools enable scammers to create convincing profiles and messages, leading to an increase in romance scams and catfishing. Furthermore, the survey shows that while 56% of Indians plan to use AI to write messages for their love interests, 60% would be hurt or offended if they found out their Valentine's message was AI-generated.

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