student in computer science are women. • Startup are open to have more diversity. • 19.3% of tech industry are women (2011) • MISSING A LOT OF DATA (link)
) • Girls' low interest in IT studies • Wage inequality between men and women • Occupational segregation - men hold the best IT positions • Devaluation - Women evaluated differently / devalued • Low representation of women in the higher spheres • Few mentors - lack of networks, mentors and female role models • Issues Work-family (ATF)
think about children, women and elderly people shape. A lot of children, small women, and elderly people being severely injured and, at the times, killed by air bags.
for women and ethnicity voice where less recognized by the system. Think about the rules that are programmed in the AI ? Will it represent all the population ?
create a lot of frustration. • How to know if the person get the job because their gender/cultural minority or by their talent ? • The next generation is more gender neutral ( How to deal with that ? ) • Men are feel frustrated because they are disadvantage.
need to have • It’d be nice if you had • Use neutral pronoun ( LGBTQ2S friendly ) Men apply for a job when they meet only 60% of the qualifications, but women apply only if they meet 100% of them. (Risk of failure )
of what is accepted or not in the company (code of conduct) • Allow Safe place • Being open mind about difference • LGBTQ2S friendly • “DON’T BE A JERK” POLICY (link)
• Recruit in nontraditional venues • Provide mentoring, training and development • Offer parental leave and leave of absence • Audit jobs for pay equity • Define measurable steps for promotion • Examine evaluation and assignments for bias