L’usage de l’IA dans la santé mentale soulève des questions scientifiques et éthiques.
Comment la culture et la foi influencent-elles l’acceptabilité de ces outils ?
Nous menons une étude pour analyser l’impact des croyances et de l’IA sur la santé mentale en Afrique.
📍Si vous êtes Sénégal, votre voix est essentielle pour nous aider à comprendre ces dynamiques et à créer des innovations adaptées aux réalités locales.
Prenez quelques minutes pour répondre à notre questionnaire:
getlooka.app/crowdsourcing/o…
➡️ Partagez aussi avec votre réseau.
⏰ Tomorrow! Join the Afristereo Webinar — where we share what 1,100+ African stereotypes reveal about AI bias.
🗓 15 Aug | 🕒 12 PM GMT | 💻 Online
🔗 Register here: eventbrite.com/e/afristereo-…
🌟 Curious about how AI perceives African identities and the cultural stereotypes it inherits?
Our Afristereo project takes you on a deep dive into how popular AI models reflect biases in gender, ethnicity, profession, and more across Nigeria, Kenya, and Senegal.
This article reveals eye-opening findings on the stereotypes present in AI systems trained with less than 2% African content, showing why African perspectives are essential to building fair and responsible AI.
👉 Read the full article here: yux.design/what-does-ai-know…
🚀 Don’t miss our upcoming webinar, where we’ll discuss these insights live and explore how you can contribute to shaping inclusive AI that truly respects Africa’s rich diversity.
📆 Join us on Friday, August 15 at 12 pm GMT
🔗 Register here: eventbrite.com/e/afristereo-…
Can AI detect bias if it doesn’t understand local context?
With Afristereo, we’re exploring a stereotype dataset rooted in real voices from Senegal, Kenya & Nigeria.
👉 Join our webinar to explore early insights & how this can improve AI fairness.
🔗 Register here: eventbrite.com/e/afristereo-…
The problem?
Current stereotype evaluation tools in NLP and ML (like StereoSet, CrowS-Pairs) were built with limited geographic and cultural diversity.
This leads to:
– Misrepresentation
– Oversimplification
– Reinforced global bias in AI systems
How do you take care of your mental health?
Maybe it’s prayer.
Maybe it’s journaling.
Maybe it’s pretending you’re fine.
We’re running a study to better understand how young Africans are really managing their mental health, with faith, culture, silence, or tech.
📍 Ages 16–25 in Ghana, Senegal, Nigeria & Kenya 📲
Take the survey: getlooka.app/crowdsourcing/o…
Your experience could help improve how support is designed for others like you.
#MentalHealthAfrica #AfricanYouthVoices #FaithAndHealing #YUXResearch
🗣️ Let’s talk about AI beyond the hype, how are people really using it in Africa?
From Lagos to Dakar, more and more people are using ChatGPT and other AI tools in unexpected ways:
➡️ To manage their stress
📅 Organize their daily life
At YUX, we asked ourselves that question.
And it’s why we launched the Kitala Cultural AI Lab — to make sure African voices, data and contexts are reflected in the way AI is designed and used.
Here’s what we’re working on:
🗂️ Curating datasets to detect cultural bias
🗣️ Building tools in Wolof, Yoruba and Hausa
📊 And conducting a survey on trust and AI usage in 🇳🇬 🇸🇳 🇰🇪 🇬🇭
📖 Read the full article: yux.design/lets-talk-about-h…
📝 Fill the survey if you're based in one of the four countries:
getlooka.app/crowdsourcing/o…
What challenges do individuals and businesses face when adopting AI technologies, including language barriers, infrastructure, and data privacy concerns?
Share your experiences with conversational AI.
Fill out the survey: getlooka.app/crowdsourcing/o…
📍Curious about how AI is shaping daily life in Ghana, Nigeria, Kenya, and Senegal? 🌍✨
Fill out our survey here:
getlooka.app/crowdsourcing/o…
🧵We’re launching a new survey on how people in Ghana, Nigeria, Kenya, and Senegal use AI tools like ChatGPT, Claude, Gemini or Meta AI.
Here’s why it matters:
Most AI studies focus on the West.
But how are these tools used across African contexts with our languages, cultures?
This survey is open to everyone 18+ in Ghana, Nigeria, Kenya and Senegal It takes about 5 minutes.
All answers are anonymous.
Let’s shape AI development with our realities in mind.
Take the survey now: getlooka.app/crowdsourcing/o…
📢 Share with friends & networks!
#AIinAfrica #AIUX
📍 Only 0.5% of publicly available datasets come from Africa.
Yet these datasets power the AI systems shaping global healthcare, education, and policies.
If our voices aren’t in the data, we’re not in the decisions.
#humancenteredAI #AI #CulturalAI #afristereo
🎯Afristereo aims to build datasets on stereotypes based on real African experiences, starting with Nigeria, Kenya and Senegal.
We’re collecting responses from people living in or from these countries to help make AI systems more fair, inclusive, and grounded in African realities
📝 Take the Afristereo survey (5–10 min): getlooka.app/crowdsourcing/o…
📢 Let’s make African perspectives visible in the age of AI.
#humancenteredAI #AI #CulturalAI #afristereo