Twitter cto parag agrawal - Latest News Update, Information, Photos & Videos on Twitter cto parag agrawal at Lokmat Times

New Delhi, Oct 2 Admitting that its image cropping algorithms may still not be mature enough to stop the bias, Twitter has vowed to give users more choices in how images appear on its platform.The micro-blogging platform tested the existing machine learning (ML) system that decides how to crop images before bringing it to its platform."While our analyses to date haven't shown racial or gender bias, we recognise that the way we automatically crop photos means there is a potential for harm," Twitter CTO Parag Agrawal and CDO Dantley Davis wrote in a blog post on Thursday."We should've done a better job of anticipating this possibility when we were first designing and building this product," they added.The company said it will decrease its reliance on ML-based image cropping by giving people more visibility and control over what their images will look like in a Tweet.Twitter is currently conducting additional analysis to add further rigour to its testing and is exploring ways to open-source the analysis.The image cropping system relies on saliency, which predicts where people might look first.For its initial bias analysis, Twitter tested pair-wise preference between two demographic groups (White-Black, White-Indian, White-Asian and male-female)."We located the maximum of the saliency map, and recorded which demographic category it landed on. We repeated this 200 times for each pair of demographic categories and evaluated the frequency of preferring one over the other," Agrawal said.Twitter said giving people more choices for image cropping and previewing what they'll look like in the Tweet composer may help reduce the risk of harm.Going forward, the company will follow the "what you see is what you get" principles of design, meaning the photo you see in the Tweet composer is what it will look like in the Tweet.There may be some exceptions to this, such as photos that aren't a standard size or are really long or wide."Bias in ML systems is an industry-wide issue, and one we're committed to improving on Twitter. We're aware of our responsibility, and want to work towards making it easier for everyone to understand how our systems work," Agrawal said.( With inputs from IANS )Disclaimer: This post has been auto-published from an agency feed without any modifications to the text and has not been reviewed by an editor

Home

City

Latest News

Cricket

LT Premium

National

International

Maharashtra

Opinions

Chhatrapati Sambhajinagar

Nagpur

Entertainment

Photos

Business

Technology

Sports

Lifestyle

Social Viral

Lokmat Games

Health

Lok Sabha Election 2024

Heatwave In India

Mumbai Water Cut

Maharashtra Lok Sabha Election

IPL 2024

Salman Khan

Twitter Cto Parag AgrawalFOLLOW

Twitter cto parag agrawal, Latest News

International :Adobe expands Firefly globally, supports prompts in 8 Indian regional languages

New Delhi, July 12 Software major Adobe on Wednesday announced the global expansion of Firefly (a generative AI ... ...

International :Adobe expands Firefly globally, supports prompts in 8 Indian regional languages

New Delhi, July 12 Software major Adobe on Wednesday announced the global expansion of Firefly (a generative AI ... ...

Technology :Hacker encrypting data in ransomware attack against most manufacturing firms

New Delhi, July 4 More than two-thirds (68 per cent) of manufacturing companies hit by ransomware attacks globally ... ...

Technology :Hacker encrypting data in ransomware attack against most manufacturing firms

New Delhi, July 4 More than two-thirds (68 per cent) of manufacturing companies hit by ransomware attacks globally ... ...

Politics :Traffic curbs in parts of Hyderabad for President's visit

Hyderabad, June 16 Hyderabad police have announced traffic curbs in some areas of the city on Friday and ... ...

Technology :Twitter pledges to fix bias image cropping to reduce harm

New Delhi, Oct 2 Admitting that its image cropping algorithms may still not be mature enough to stop ... ...