Last weekend’s killing of dozens of people at a church was another reminder of Nigeria’s security challenges, according to Alexander Onukwue. Martin Siele explains why this is happening.Ī tragic Sunday in Nigeria. Crunchbase data indicate that global venture capital funding is slowing down but Africa is recording a three digit growth-150% to hit a record $1.8 billion. Hawi Dadhi looks at the hurdles local fintechs face when competition rises.Īfrica is defying global funding trends. Prime minister Abiy Ahmed is now opening doors for foreign investment in fintech in Ethiopia. Faustine Ngila highlights the women-led startups and incubators reshaping the sector.įintechs in Ethiopia face a dilemma. Long known as a boys’ club, technology in east Africa is now seeing more women rising to powerful roles. The future of tech in east Africa is female. Unsurprisingly, it is in a Nigerian fintech company, Alexander Onukwue reports. The strategic arm of the card payments network made its first investment in an African tech startup. Stories this weekĪmerican Express ventures into Africa. To get the Member Brief directly in your inbox, become a member for less than $1 a week. Learn more about Nala, a Tanzania-based startup that is revolutionizing remittances in Africa, in the most recent edition of the Quartz Africa Member Brief. Faustine Ngila, east Africa correspondent By the digits
It might not erase online racism, but it’s a small step in the right direction.
TOP TRENDING NEWS KENYA SKIN
I will keep tabs on how Google plans to implement a new skin tone scale unveiled during its I/O event in May.
TOP TRENDING NEWS KENYA GENERATOR
In a moderate sign of progress in regulating AI, Google quietly banned deep fake algorithms from its machine learning generator Colab last month. For example, Ethiopian-born US AI scientist Timnit Gebru believes she was pushed out of her role as co-lead of Google’s Ethical AI unit for calling out algorithmic bias. People of color continue to experience internet bias because global tech giants don’t have enough senior staff fighting for inclusion in the company’s AI algorithmic training.Įven those who attain leadership roles in the industry can struggle to achieve results.
Tech has historically been a very white, male-dominated space and data representing white and male populations-rather than the wider user base-have become the default in building machine learning models. I repeated the search with “ leg” and only white legs appeared. First, I searched for “ ear” on Google Images and almost all results were of white skin tones. I spent the better part of this week reflecting on why artificial intelligence (AI) treats Africans and people of color unfairly.
0 kommentar(er)
