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AI BIAS AND GENDER
Women remain under-represented in India's deeptech sector: Indeed surveyWomen face significant hurdles in India's deeptech sector, with entry-level representation as low as 0-10% for many firms. Despite steady j...- Age appropriateness important factor while introducing AI in school education: ExpertsEducation experts recommend integrating AI education in schools. Students need awareness of data privacy, misinformation, and bias. Access ...
- 'Only 30% AI professionals women, 16% hold research roles': UN Women calls for inclusive designSpeaking at the launch of the AI Casebook on Gender and Agriculture at India AI Summit here, UN Women Regional Director for Asia Pacific Ch...
- From code to care: Making gender central to India’s AI futureIf India is to lead responsibly, gender must not be relegated to symbolic representation at panel discussions but be embedded at the core o...
- AI bias may widen leadership gender gap, warns studyDespite growing confidence, gender stereotypes persist, particularly regarding future-facing skills like AI and data analysis. A new report...
- IndiaAI scales up efforts for deepfake detection, bias mitigation, AI penetration testingIndia has taken another major step toward ensuring the safe and ethical use of Artificial Intelligence (AI) through the IndiaAI Mission's n...
- Finding Gen XX among GenAI leadersCan generative artificial intelligence help women break the proverbial glass ceiling? There are some positive signs though a lot more needs...
- Reshaping norms: How organisations can build equitable workplaces for womenOrganizations must move beyond symbolic gestures and take definitive actions to build equitable workplaces.
- Equity in technology needed for true gender parity: Smriti IraniFormer Union Minister Smriti Irani emphasized the urgency of ensuring gender equity in technology at the Indo-American Chamber of Commerce ...
- What will a robot make of your resume? The bias problem with using AI in job recruitmentEstablishing guidelines, ethical standards, and promoting transparency in AI decision-making processes are essential for fair recruitment p...
- Need more women in AI for inclusive development of the technologyA diverse workforce is better tooled to identify and remove biases, while women also bring to the table a different mental toolkit
- Amazon, Microsoft lead efforts to tackle inherent biases in GenAIGenerative artificial intelligence (AI) chatbots are not free of inherent biases, and several ongoing projects from the likes of Amazon and...
- Racist, sexist, casteist: Is AI bad news for India?With a population of 1.4 billion powering the world's fifth-biggest economy, India is undergoing breakneck technological change, rolling ou...
- AI in medical imaging may magnify health inequities: StudyAI is known to automate diagnoses, decrease physician workload, and even bring specialised healthcare to people in rural areas or developin...
- Women’s Day 2023: Embracing equity and the digital gender gapThe UN Women’s Gender Snapshot 2022 report revealed that the exclusion of women from the digital world has caused the staggering loss of $1...
- Gender pay gap is a complex issue with no easy solutions, says JobsForher CEOThe platform caters to three cohorts of women professionals 一 Women Returnees, Women In Tech, and Women In Leadership and is increasing its...
- Removing Siri's default female voice may be a win for feminism: It's time for Apple to look at gender-neutral voiceSiri has been criticised as embodying several facets of gender bias in AI.
- Google plays safe, blocks gender-based pronouns from new AI tool to avoid biasThe tech giant refuses to take chances at a time when gender issues are reshaping politics & society.
- Accenture's Rekha Menon on how AI can be used to remove gender biases at workMenon said that some organisations are already strategically adopting AI to examine decision patterns in hiring.
- Computer programs can be as biased as humansThe software that process job applications and other data that impacts people's lives might be picking up biases along the way.
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