内容来源：https://www.technologyreview.com/2025/10/22/1125361/africa-ai-policymaking-nyalleng-moorosi/

内容总结：

近日，非洲规模最大的人工智能盛会"深度学习因达巴"在卢旺达首都基加利举行。这场年度AI会议不仅是技术交流平台，更承载着推动非洲AI自主发展的使命。

会议现场充满非洲特色：坦桑尼亚民歌回荡在白色帷幔装点的大厅，身着豹皮服饰和埃塞俄比亚手工刺绣服装的学者们品尝着木薯脆片，尼日利亚音乐响起时，与会者挥舞着各国国旗自发聚集。这场始于2017年的活动已从300人发展为覆盖50个国家的泛非运动，今年共收到3000份申请，其中1300人获邀参会。

该会议联合创始人、来自莱索托的研究员尼亚伦·莫罗西指出，会议最重要的价值在于凝聚社区力量。她观察到，虽然参会者最大的收获往往是获得科技公司录用或博士项目录取，但更希望看到本土企业为非洲AI人才创造更多机会。

在关于非洲AI政策的专题讨论中，与会专家呼吁各国在制定AI战略时加强社区参与。莫罗西特别强调，应确保非洲联盟支持的劳工保护、矿产资源权益等本土关切在AI政策中得到体现。她表示："我梦想着非洲产业能用上非洲自主研发的AI产品，我们必须向世界展示自己的成果。"

随着非洲AI社群不断壮大，这场汇聚智慧与活力的盛会正成为推动大陆科技自主发展的重要力量。

（根据《麻省理工科技评论》报道整理）

中文翻译：

现场报道：非洲最大人工智能盛会上的狂欢之夜

尼亚伦·莫罗西正致力于推动更多非洲声音参与人工智能政策制定。八月底的卢旺达首都基雅里，人群涌入非洲规模首屈一指的人工智能与机器学习盛会现场。白色帷幔装点着大厅，巨型屏幕上跃动着AI生成的视频影像，坦桑尼亚歌手赛达·卡洛利演绎的经典东非民谣在音响中澎湃流淌。

与会者们在相互问候间品尝着竹芋脆片与无酒精甜味调饮，身披豹皮服饰的男女举杯畅谈，许多女性身着埃塞俄比亚红黄绿三色刺绣手织服饰。会场洋溢着蓬勃生机。"因达巴最迷人的永远是这些派对，"计算机科学家尼亚伦·莫罗西对我说。祖鲁语中意为"聚会"的因达巴，正是我们相遇的"深度学习因达巴"年度AI盛会——非洲学者展示本土研究成果与技术创新的殿堂。

来自莱索托山国的莫罗西作为分布式人工智能研究所高级研究员专程赴会。她戴着标志性"非洲母亲"头巾，穿行于熙攘会场。当尼日利亚欢快乐曲响起，人们即兴涌向舞台周围，挥动各式非洲国旗。"因达巴的社群凝聚力无与伦比，"莫罗西含笑鼓掌赞叹。

作为2017年从南非约翰内斯堡300人核心会议发展起来的深度学习因达巴创始成员，莫罗西见证了这个盛会成长为覆盖50国的权威泛非运动。今年近3000名申请者中，1300人获准入场，除英语非洲国家外，更涌现出来自乍得、喀麦隆、刚果民主共和国、南苏丹及苏丹的新生力量。

莫罗西透露，与会者最珍视的"奖励"是获得科技公司录用或博士项目录取。微软研究院"AI向善"实验室、谷歌、万事达卡基金会、米拉-魁北克AI研究所等机构皆现身会场，但她更期待非洲本土企业能创造更多机遇。

晚宴前，我们共同参与了非洲AI政策专题讨论。专家们呼吁制定国家AI战略时应加强社群参与。现场观众迫切追问：非洲青年如何参与高层政策讨论？大陆AI战略是否正被外部势力塑造？莫罗西在后续交流中强调，希望看到非盟支持的劳工保障、矿产权益、反剥削措施等非洲优先事项在战略中得到体现。

盛会落幕之际，问及对非洲AI未来的憧憬，莫罗西沉吟片刻："我梦想着非洲产业能用上非洲制造的AI产品。我们必须向世界展现自己的成果。"

本文作者阿卜杜拉希·萨尼系驻塞内加尔科学记者，专攻叙事特写。

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英文来源：

Dispatch: Partying at one of Africa’s largest AI gatherings
Nyalleng Moorosi is part of a movement aimed at involving more African voices in AI policymaking.
It’s late August in Rwanda’s capital, Kigali, and people are filling a large hall at one of Africa’s biggest gatherings of minds in AI and machine learning. The room is draped in white curtains, and a giant screen blinks with videos created with generative AI. A classic East African folk song by the Tanzanian singer Saida Karoli plays loudly on the speakers.
Friends greet each other as waiters serve arrowroot crisps and sugary mocktails. A man and a woman wearing leopard skins atop their clothes sip beer and chat; many women are in handwoven Ethiopian garb with red, yellow, and green embroidery. The crowd teems with life. “The best thing about the Indaba is always the parties,” computer scientist Nyalleng Moorosi tells me. Indaba means “gathering” in Zulu, and Deep Learning Indaba, where we’re meeting, is an annual AI conference where Africans present their research and technologies they’ve built.
Moorosi is a senior researcher at the Distributed AI Research Institute and has dropped in for the occasion from the mountain kingdom of Lesotho. Dressed in her signature “Mama Africa” headwrap, she makes her way through the crowded hall.
Moments later, a cheerful set of Nigerian music begins to play over the speakers. Spontaneously, people pop up and gather around the stage, waving flags of many African nations. Moorosi laughs as she watches. “The vibe at the Indaba—the community spirit—is really strong,” she says, clapping.
Moorosi is one of the founding members of the Deep Learning Indaba, which began in 2017 from a nucleus of 300 people gathered in Johannesburg, South Africa. Since then, the event has expanded into a prestigious pan-African movement with local chapters in 50 countries.
This year, nearly 3,000 people applied to join the Indaba; about 1,300 were accepted. They hail primarily from English-speaking African countries, but this year I noticed a new influx from Chad, Cameroon, the Democratic Republic of Congo, South Sudan, and Sudan.
Moorosi tells me that the main “prize” for many attendees is to be hired by a tech company or accepted into a PhD program. Indeed, the organizations I’ve seen at the event include Microsoft Research’s AI for Good Lab, Google, the Mastercard Foundation, and the Mila–Quebec AI Institute. But she hopes to see more homegrown ventures create opportunities within Africa.
That evening, before the dinner, we’d both attended a panel on AI policy in Africa. Experts discussed AI governance and called for those developing national AI strategies to seek more community engagement. People raised their hands to ask how young Africans could access high-level discussions on AI policy, and whether Africa’s continental AI strategy was being shaped by outsiders. Later, in conversation, Moorosi told me she’d like to see more African priorities (such as African Union–backed labor protections, mineral rights, or safeguards against exploitation) reflected in such strategies.
On the last day of the Indaba, I ask Moorosi about her dreams for the future of AI in Africa. “I dream of African industries adopting African-built AI products,” she says, after a long moment. “We really need to show our work to the world.”
Abdullahi Tsanni is a science writer based in Senegal who specializes in narrative features.
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