On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?
Key Takeaway: As AI research and subsequent technologies grows in scale, researchers and organizations need to be aware of the potential negative impacts of AI.
Read MoreTFGBV Type: Research
Uganda: “Everybody here is having two lives or phones”: The devastating impact of criminalization on digital spaces for LGBTQ people in Uganda
Key Takeaway: This report documents how the threats and presence of various forms of TFGBV against LGBTQ people in Uganda, in a context of criminalization, and the passage of Anti-Homosexuality Act (AHA) 2023 in particular, has forced LGBTQ individuals and organizations to alter their digital presence and behaviors.
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TFGBV in Ethiopia
Key Takeaway: TFGBV is prevalent, and often overlooked because it is normalized. While men experience hate speech, it’s often not gendered in the same way and intersects with other identities.
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Online Violence Against Women in Asia: A multi-country study
Key Takeaway: Based on research in 5 countries, India, Malaysia, Pakistan, the Philippines, and the Republic of Korea, researchers investigated what TFGBV is, what is being done to prevent and respond to it, and what should be done.
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Raising Awareness of Sex and Gender Bias in Artificial Intelligence and Health
Key Takeaway: The incorporation of AI in healthcare can be helpful but there is a risk of societal biases being further perpetuated.
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Measuring technology-facilitated gender-based violence: A discussion paper
Key Takeaway: Defining and measuring TFGBV
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