Bias stories - Page 3
When work design fails, equity fails with it
Last month
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hcm
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hybrid & remote work
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leadership
As stress soars despite supportive managers, flawed work design quietly widens equity gaps, punishing those with lives beyond work.
Ethical AI and equitable law: Redesigning the profession for women leaders
Last month
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physical security
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ai
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hybrid & remote work
Ethical AI and redesigned work models could help dismantle bias in law, paving the way for more women to thrive as leaders in the profession.
Rooms shape power: How culture signals exclude women in tech
Last month
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hybrid & remote work
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marketing
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ict sector
In tech and marketing, women are excluded not just by bias in code or funding, but by domestic load and male-coded networking rituals.
Beyond International Women's Day: Supporting women in leadership every day
Last month
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hcm
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iwd
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opinion
Moving beyond one awareness day, leaders must offer women daily stretch, mentoring and networks so their voices shape every table.
Why the future of maintenance depends on women - and AI that learns from them
Last month
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manufacturing
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digital transformation
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ai
Maintenance's future hinges on bringing more women into the trades and building AI that learns from their full range of expertise.
We are not climbing a ladder, we are building it
Last month
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digital transformation
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physical security
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genai
Generative AI is levelling the creative-tech field, giving women a rare chance to shape rules, narratives and power from the ground up.
Why diversity in cybersecurity leadership is vital
Last month
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devops
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apm
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risk & compliance
Homogeneous cybersecurity leadership is a critical, overlooked point of failure; true defence in depth demands diversity as a core control.
Opinion: why women in tech Are redesigning safety - and what that means for us all
Last month
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iot security
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iot
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smart home
Women in security tech are redesigning safety from front doors to smart locks, proving diverse leadership makes everyone feel more secure.
Women in tech must demand more than token PR support
Last month
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erp
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api
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llms
On International Women's Day, women in tech are urged to demand PR that builds real authority, not box-ticking 'inspirational' coverage.
Report reveals perceptions gap on barriers for women in tech
Thu, 23rd Oct 2025
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it industry
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acronis
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ict sector
Acronis' 2025 Women in Tech Report reveals men and women strongly differ on perceptions of career barriers and bias in the technology sector worldwide.
Chief Trust Officer role rises as tech firms prioritise trust
Thu, 4th Sep 2025
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data protection
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risk & compliance
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data privacy
Tech and B2B firms are appointing Chief Trust Officers to boost security, privacy, and trust amid rising client and regulator concerns, says Forrester.
Women call for action to build diversity & resilience in cybersecurity
Sat, 23rd Aug 2025
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risk & compliance
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gender equality
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pd
Women in cybersecurity face ongoing hurdles in representation; experts call for fair promotion, mentorship, and cultural change to boost diversity and resilience.
Infosys partners with Linux Foundation to enhance AI ethics
Tue, 1st Apr 2025
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uc
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digital transformation
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ai
Infosys has partnered with Linux Foundation Networking to advance responsible AI adoption, contributing its toolkit to enhance ethical practices across global networks.
Asia-Pacific businesses set to invest USD $3.4bn in GenAI
Mon, 25th Mar 2024
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edutech
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genai
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data privacy
Generative AI (GenAI) investments in the Asia-Pacific are projected to accelerate at a staggering rate of 140%, the fastest globally, with spending expected to reach USD $3.4 billion across key nations, according to Infosys Knowledge Institute's research.
IWD 2023: How organizations can reduce gender bias with Data Science and AI
Wed, 8th Mar 2023
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data science
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ai
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iwd
Despite the immense growth the region has seen in recent years, a majority of consumers continue to be unbanked or underbanked.
Australia leads AI adoption but struggles to tackle bigger issues
Mon, 4th May 2020
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ai
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dei
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esg
Australia is leading in AI adoption and investment, yet a new report reveals it struggles with AI bias, privacy, and providing adequate training.