/* FORCE THE MAIN CONTENT ROW TO CONTAIN SIDEBAR HEIGHT */ #content-wrapper, .content-inner, .main-content, #main-wrapper { overflow: auto !important; display: block !important; width: 100%; } /* FIX SIDEBAR OVERFLOW + FLOAT ISSUES */ #sidebar, .sidebar, #sidebar-wrapper, .sidebar-container { float: right !important; clear: none !important; position: relative !important; overflow: visible !important; } /* ENSURE FOOTER ALWAYS DROPS BELOW EVERYTHING */ #footer-wrapper, footer { clear: both !important; margin-top: 30px !important; position: relative; z-index: 5; }

Women and AI - problematic gaps

"AI is a tool that must be used to empower all of humanity." - Fei-Fei Li, AI pioneer Burden of double shifts Working women in Ind...

"AI is a tool that must be used to empower all of humanity." - Fei-Fei Li, AI pioneer

Burden of double shifts

Working women in India face a relentless second shift of unpaid labour. They spend over nine hours daily on combined tasks, leaving little time for personal development compared to men who have more leisure. Disparity peaks for women in their prime working years. While men have time for learning, women sacrifice sleep for household responsibilities. This time poverty hinders their career advancement and ability to adapt to new technology.

Invisible barriers 

AI metrics risk penalizing caregivers with invisible constraints. These systems often assume a level of availability that women cannot provide. Technology may exacerbate inequalities by failing to recognize the value of care or domestic labour. Thus, AI has a dark side too!

Redesigning policies 

Empowerment requires an outcome based approach to free women from drudgery. Policies must prioritize infrastructure like affordable childcare and clean energy to redirect time toward productive activities and professional growth. This shift is essential for progress.

Securing a future 

Women need flexible upskilling to stay relevant in an automated world. Integrating time use data into budgets can help build digital skills and vocational capabilities. This investment is crucial for achieving a developed and equitable future.

Summary

Indian women face significant time poverty due to double shifts of paid and unpaid labor. This gap currently prevents them from upskilling for the AI era. Addressing this requires flexible learning and policies that value unpaid work and provide essential time saving infrastructure.

Food for thought

How can technology be redesigned to value caregiving rather than penalizing it?

AI concept to learn: Algorithmic bias

Algorithmic bias occurs when AI systems produce prejudiced results due to flawed data or societal assumptions. These biases often reflect existing inequalities and can unfairly impact women during hiring or performance evaluations. This makes inclusive technology design vital for everyone.  

AI algorithmic bias against Women

[The Billion Hopes Research Team shares the latest AI updates for learning and awareness. Various sources are used. All copyrights acknowledged. This is not a professional, financial, personal or medical advice. Please consult domain experts before making decisions. Feedback welcome!]

COMMENTS

Loaded All Posts Not found any posts VIEW ALL READ MORE Reply Cancel reply Delete By Home PAGES POSTS View All RECOMMENDED FOR YOU LABEL ARCHIVE SEARCH ALL POSTS Not found any post match with your request Back Home Sunday Monday Tuesday Wednesday Thursday Friday Saturday Sun Mon Tue Wed Thu Fri Sat January February March April May June July August September October November December Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec just now 1 minute ago $$1$$ minutes ago 1 hour ago $$1$$ hours ago Yesterday $$1$$ days ago $$1$$ weeks ago more than 5 weeks ago Followers Follow THIS PREMIUM CONTENT IS LOCKED STEP 1: Share to a social network STEP 2: Click the link on your social network Copy All Code Select All Code All codes were copied to your clipboard Can not copy the codes / texts, please press [CTRL]+[C] (or CMD+C with Mac) to copy Table of Content