Scientists, including Alexander Fraser, Professor of Data Analytics and Statistics, studied how text-to-image generators deal with #gender stereotypes in various #languages. The results show that the models not only reflect #genderbiases, but also amplify them: http://go.tum.de/446018
📷T. Algeri
As AI becomes more embedded in workplaces, it is shifting from a tool for efficiency to an active force in organizational decision-making. Whether due to anthropomorphism or intentional design choices, people often assign human-like qualities - including gender - to AI systems. However, how AI managers are perceived in comparison to human managers and how gender influences these perceptions remains uncertain. To investigate this, we conducted randomized controlled trials (RCTs) where teams of three participants worked together under a randomly assigned manager - either human or AI - who was presented as male, female, or gender-neutral. The manager's role was to select the best-performing team member for an additional award. Our findings reveal that while participants initially showed no strong preference based on manager type or gender, their perceptions changed significantly after experiencing the award process. As expected, those who received awards rated their managers as more fair, competent, and trustworthy, while those who were not selected viewed them less favorably. However, male managers - both human and AI - were more positively received by awarded participants, whereas female managers, especially female AI managers, faced greater skepticism and negative judgments when they denied rewards. These results suggest that gender bias in leadership extends beyond human managers and towards AI-driven decision-makers. As AI takes on greater managerial roles, understanding and addressing these biases will be crucial for designing fair and effective AI management systems.
But Fig 1 which you reproduce shows 60%+ of male #PhD have just 1 subject, while it's the case of 40% of #female PhD only!
And then it seems (at a quick look) that they restrict the analysis to those having an interdisciplinary PhD, and see that for male doctors *if* they do interdisciplinarity, then this interdisciplinarity is (slightly) "more pronounced" in some sense (more different topics).
I agree with @blogdiva , this is a distraction from the #genderBiases of academia.
An Army Special Ops probe sheds light on #misogyny in the #military
(It’s not just in the military)
Still, #GenderBiases, & at times outright misogyny, pervade all levels of the #SpecialOps forces, acc/to a recent report by the #Army Special Operations Command, which aimed to discover what challenges its 2,300 female service members encounter.
Tom Dyson is presenting the talk "Use SQLite in production" at the DjangoCon Europe 2023 in Edinburgh 🏴🇪🇺🇬🇧
#DjangoConEuroppe #DjangoCon #Django #WomenInTech #GenderBiases
SQLite is a popular option for the local development of Django applications. It's built-in to Python, and it's well supported by the Django. However, the standard advice, both from the official documentation and from the community in general, is that it's not the right tool for running your app in production. In this talk I'll argue that it's time to change this position. In many cases, SQLite is the fastest database option available to Django developers. It's always the cheapest and the most energy efficient. The traditional concerns about concurrent writes can be handled through new configuration options, and the limits on horizontal scalability can be addressed through innovative approaches developed and funded by companies like Fly.io and Cloudflare. I'll use real-world examples to compare SQLite's performance against the traditional database options for production. I'll also explore some of the exciting new developments in the SQLite ecosystem, particularly those which enable its use in machine learning in general, and LLMs (large language models) in particular.
Ester Beltrami is presenting the talk "Gender Bias in Tech: Examining Evolution & Persistence of Stereotypes" at the DjangoCon Europe 2023 in Edinburgh 🏴🇪🇺🇮🇹
#DjangoConEuroppe #DjangoCon #Django #WomenInTech #GenderBiases
In the early days of computing, women were actually the **dominant** sex in programming. __Can you believe it??__ __How did we get from this to the stereotype of the nerdy programmer obsessed with programming?__ We will find out how this has changed and how gender bias has influenced the development of the tech industry as we know it today. I will also dig into the consequences of gender bias in the tech industry, including the negative impacts on innovation, profitability, and the overall well-being of the industry. The talk will conclude with practical steps and solutions that companies can take to create a more inclusive and diverse tech industry. The gender gap it's an important issue that affects all of us. By taking action to address these biases, we can create a better future for everyone in the industry. Slides available here: [https://ester.lol/breaking-the-stereotype](https://bit.ly/3okg8B8).
For many women, trying to break into industries traditionally dominated by men or start their own businesses hasn't been easy. Those who have managed it say flexible & #inclusive #WorkEnvironments & #mentorship programs have been key to their success.
From #construction to #aerospace, these #women say the added #support can go a long way toward reducing #GenderBiases & help balance careers & home life.
https://www.cbc.ca/amp/1.6774280
#WomensMonth #WomensEmpowerment #WomenInTrades #SheCanDoIt #Canada
Technische Universität München
Santi Garcia
Jocelyn Etienne
Carmen Zedler
Nonilex
Paolo Melchiorre
PhoenixSerenity