
Embedded (The Rundown)
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07 Apr 2025 | Language AI as Critical Infrastructure for Africa's Digital Sovereignty | 00:29:02 | |
Featuring Prof. Vukosi Marivate, Professor of Computer Science & Co-founder of Lelapa AI In this second episode of a special series of the Embedded podcast, host Zain Verjee speaks with Prof. Vukosi Marivate about the critical role of language in creating AI systems that serve African communities authentically. As a leading figure in machine learning and natural language processing in Africa, Prof. Marivate shares insights on developing AI for low-resource languages, preserving cultural context, and ensuring ethical approaches to data collection. The conversation explores how grassroots initiatives like Masakhane Research Foundation and companies like Lelapa AI are working to ensure African languages aren't left behind in the AI revolution. Produced in partnership with The Rwanda Centre for the Fourth Industrial Revolution and recorded at the Global AI Summit on Africa from April 3rd-4th, 2025.
🔍 The challenge of building AI that understands cultural nuances and local language variations 🗣️ Creating datasets for low-resource African languages through community engagement and ethical data collection 🌍 How language models must reflect cultural contexts to serve areas like healthcare and education effectively 🤖 The release of "Lelapa LLM" - the first language model specifically built for African languages 💼 Why entrepreneurs need to engage with each other to strengthen the African AI ecosystem ⚖️ Ethical considerations and data sovereignty in AI development across the continent 💡 The critical gap in R&D investment on the continent compared to global standards 🔄 Building models from scratch to maintain control rather than relying on constantly changing Western models
Prof. Vukosi Marivate is a Professor of Computer Science and holds the ABSA UP Chair of Data Science at the University of Pretoria. He specializes in Machine Learning and Artificial Intelligence with a focus on Natural Language Processing. As the co-founder of Lelapa AI, a socially-grounded, Africa-centric AI research and product lab, he works to create "AI for Africans by Africans." Prof. Marivate also leads the Data Science for Social Impact research group at the University of Pretoria and is a chief investigator for the Masakhane Research Foundation, which develops NLP technologies for African languages. His work spans from building language models that preserve linguistic diversity to creating ethical frameworks for AI development in African contexts.
Website: www.therundown.studio Twitter/X: @Rundown_Studio_ LinkedIn: The Rundown Studio
Twitter/X: @Zain_Verjee LinkedIn: https://www.linkedin.com/in/zain-verjee-97747467
LinkedIn: https://rw.linkedin.com/company/c4ir-rw Twitter/X: @c4IR_rw Website: https://c4ir.rw/ The Global AI Summit on Africa: https://c4ir.rw/global-ai-summit-on-africa
LinkedIn: https://www.linkedin.com/in/vukosi-marivate/ Twitter/X: @vukosi Masakhane Research Foundation: https://www.masakhane.io/ Lelapa AI: https://lelapa.ai/ | |||
02 Dec 2024 | Ethics by Design: Building Equitable AI Systems | 00:30:28 | |
For this episode of Embedded Zain is joined by Rashida Richardson, a law and technology policy expert and Senior Counsel at MasterCard, where they discuss some of the ways AI systems reflect racial and cultural biases we see in society. Rashida also shares some of the policy interventions, governance, and training needed to tackle challenges like "dirty data" that we see in AI development, and gives her insights on how you can ensure responsible use. The conversation also explores the current legal landscape around AI, and specifically its implications when it comes to civil rights. Some really great insights here you don't want to miss, give it a listen! About Our Guest Professor Rashida Richardson is a law and technology policy expert who researches the social and civil rights implications of artificial intelligence and other data-driven technologies. She currently serves as senior counsel, artificial intelligence, at Mastercard. She has also previously served as attorney advisor to the chair of the Federal Trade Commission and senior policy advisor for data and democracy at the White House Office of Science and Technology Policy. Rashida has worked on AI research, policy, governance, and legal issues in academia, civil rights organisations, government, and industry. She also has extensive experience leading interdisciplinary teams and cross-sector collaborations. Website: https://www.rashidarichardson.com/ LinkedIn: https://www.linkedin.com/in/rashidarichardson/ Connect With Rashida Key Highlights 🔄 How societal inequities become amplified through AI systems ⚖️ The challenges of applying existing laws to AI-related issues 🛡️ The importance of proper governance in AI development 💡 Why anti-discrimination laws may not be enough 🌐 The path toward responsible AI development Episode Timestamps
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04 Apr 2025 | Beyond the Classroom: How AI is Reshaping African Education | 00:39:40 | |
Featuring Tonee Ndungu, Founder of Kytabu. In this first episode of a special series of the Embedded podcast, host Zain Verjee sits down with Tonee Ndungu, a pioneering EdTech entrepreneur who is transforming education across Africa through AI-powered learning tools. From his personal journey with dyslexia to founding Kytabu, Tonee shares insights on how AI is reshaping education on the continent and creating opportunities for millions of students. The conversation explores the development of wearable AI assistants for both students and teachers, strategies for building African language models, and how entrepreneurs can leverage AI to build billion-dollar businesses from the continent despite infrastructure challenges. Produced in partnership with The Rwanda Centre for the Fourth Industrial and recorded at the Global AI Summit on Africa from April 3rd -4th, 2025.
🧠 How Tonee's experience with dyslexia and ADHD inspired his educational innovations 🎧 The pivotal moment when technology (a Sony Walkman) transformed his learning journey 🤖 Kytabu's AI-powered tools: Somanasi (AI tutor for students) and Hodari (AI assistant for teachers) 👓 The development of wearable AI devices for education that doesn't require constant internet connectivity 🌍 Strategies for creating African language models and addressing cultural context in AI 💡 The 3 requirements for building African language models: recorded voices, contextualization, and scale 🔍 Ethical considerations in AI adoption for education in Africa 🚀 How the changing AI landscape creates opportunities for African entrepreneurs About Our Guest: Tonee Ndungu is a pioneering entrepreneur in the EdTech space with over 18 years of experience. As the founder of Kytabu (meaning "book" in Swahili), he has dedicated his career to transforming education across Africa. Drawing from his personal experiences with dyslexia, Tonee developed innovative learning solutions that adapt to different learning styles. Prior to Kytabu, he helped establish the foundation for Kenya's tech ecosystem, contributing to what became known as the "Silicon Savannah." His current focus is integrating AI technology into education to empower both teachers and students across the continent.
Website: www.therundown.studio Twitter/X: @Rundown_Studio_ LinkedIn: The Rundown Studio Connect With Zain Verjee: Twitter/X: @Zain_Verjee LinkedIn: https://www.linkedin.com/in/zain-verjee-97747467 Connect With The Rwanda Centre for the Fourth Industrial Revolution & The Global AI Summit on Africa: LinkedIn: https://rw.linkedin.com/company/c4ir-rw Twitter/X: @c4IR_rw Website: https://c4ir.rw/ The Global AI Summit on Africa: https://c4ir.rw/global-ai-summit-on-africa
LinkedIn: https://ke.linkedin.com/in/toneendungu Twitter/X: @ToneeNdungu Website: https://toneendungu.com/ Embedded is a production of The Rundown Studio. For more insights on AI's impact on emerging markets, visit www.therundown.studio | |||
17 Dec 2024 | TechCabal Crossover: Building African AI From the Ground Up | 00:34:18 | |
Episode Description An Embedded x TechCabal crossover. Our host, Zain spoke to two African entrepreneurs whose startups are doing incredible things with AI on the continent. Megan Yates from Zindi and Clinton Oduor from Amini share their insights into how AI is solving local problems, from supporting smallholder farmers to building data ecosystems that support innovation and learning. Building AI in Africa won't be easy, and in this episode we discuss what needs to be done around data protection, AI regulation, and skilling up. Key Highlights
🔄 The importance of local context in AI development Episode Timestamps
Key Quotes "Data is the new currency. Data is the new gold, data is the new cobalt. Data is so important that whoever owns data will command and control the highest and the best terms and they will dictate the direction of the world." - Zain Verjee "We don't want a situation where people are coming to the continent and solving problems that we have... they don't understand the local context at all." - Megan Yates "Sometimes we just don't need a general purpose model. Sometimes we just need some sort of a translation model for just one language to solve one problem." - Clinton Oduor "The problem is like, where do we get this data to feed these algorithms that already exist, that people have already proved that they work really well." - Clinton Oduor "African tech people want to be working on the continent... there's so many entrepreneurs. What I love from Zindi is that people have actually often used prize money that they've won through challenges to start their own businesses." - Megan Yates
About Our Guests Megan Yates, Co-Founder of Zindi Africa Co-founder of Zindi Africa. Zindi is one of the top data science and artificial intelligence competition platforms on the continent. They host the continent's largest community of over 60,000 data and AI practitioners and are solving some of the world's toughest challenges using data and machine learning. They also help companies attract and hire top talent, upskill their own teams, and crowd-source fast tailored AI solutions to their problems. Since its founding, Zindi has hosted more than 300 data science challenges across various industries and technical areas. These challenges have a dual purpose: they provide data scientists with practical experience and exposure to real-world problems, while also delivering innovative solutions to businesses and organisations. and they’ve partnered with some big names like microsoft, google deepmind, and nvidia and have distributed over $500,000 in prizes to winning data scientists. Clinton Oduor, Head of Data Science at Amini Clinton Oduor, a machine learning engineer and head of data science at Amini, and based in Nairobi. The company’s mission is to build the single source of trusted environmental data in Africa and “to enable the resilience of one billion people by 2030”. Amini mainly pulls data from satellites and integrates it with other datasets, including sensor, research and ground data to offer insights on biodiversity, soil or crop health, or to track farming progress and practices (regenerative) like water or fertiliser use. Resources Mentioned
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16 Jan 2025 | Lost in Translation: Building AI for Africa's Languages. | 00:28:30 | |
In this episode of Embedded, host Zain Verjee speaks with Asme Teka Hadgu, co-founder and CTO of Lesan AI, about the critical challenge of language accessibility in artificial intelligence. Based in Berlin, Lesan AI is pioneering machine translation for Ethiopian languages, notably outperforming tech giants in Amharic and Tigrinya translations. Asme discusses their unique approach to data collection, working directly with communities to preserve linguistic authenticity, and the broader implications of language barriers in AI development. The conversation explores how AI can be leveraged to preserve and revitalize languages while ensuring ethical development and cultural preservation.
🌍 Lesan AI's innovative approach to machine translation for African languages 📊 Over 9 million translations completed for Ethiopian languages 🤖 Limitations of current AI models like ChatGPT for African languages 👥 Community-centered approach to data collection 🔐 Ethical considerations in language technology development 🌿 Preservation of cultural context and linguistic nuance Episode Timestamps 00:00 - Introduction and welcome 01:20 - Personal Journey and Mission 02:51 - Language Barriers in AI 04:51 - Lesan AI's Approach 09:16 - Speech Recognition Project 13:26 - Technology Access Challenges 16:19 - Language Models Discussion 18:05 - AI Language Limitations 20:19 - Data Privacy and Ethics 24:43 - Bias Prevention and Cultural Context 25:55 - Advice for African Innovators
Asme Teka Hadgu is the co-founder and Chief Technology Officer of Lesan AI, a Berlin-based startup revolutionizing machine translation for Ethiopian languages. With a background in computer science and a deep commitment to education, Asme leads the development of translation tools that outperform major tech companies in Amharic and Tigrinya translations.
Website: www.therundown.studio Twitter / X: @Rundown_Studio_ LinkedIn: https://www.linkedin.com/company/zvgtherundown/ Host: @Zain_Verjee | |||
13 Feb 2025 | Democratizing AI: A Recipe for AI-Powered Growth & Entrepreneurship | 00:32:12 | |
In this episode of Embedded, host Zain Verjee explores how generative AI can empower entrepreneurs in emerging markets to scale smarter, faster, and more inclusively. Prof. Rembrand Koning shares insights from his groundbreaking work at Harvard's Tech for All Lab, where they're studying how entrepreneurs can harness AI to benefit humanity. From WhatsApp-integrated AI advisors to partnerships in Southeast Asia, discover how AI could democratize access to business mentorship and transform entrepreneurship in emerging markets.
Episode Timestamps 00:06 - Introduction and welcome 01:30 - Tech for All Lab's mission and focus 02:10 - Importance of research in AI development 04:40 - Gender gap in AI adoption 05:33 - Tool design and accessibility 10:00 - The Grab partnership 17:17 - Surprising findings from research 21:29 - Human + AI combination 24:37 - Local context and language 28:49 - Final advice for entrepreneurs
"We're going to see $1 billion companies run by one person, and my bet is that one person is not going to be in San Francisco, that one person is going to be in Nairobi or Jakarta." "People + AI, that is the magic sauce... What we're really going to want is both the AI and then the person who's giving them that scaffolding to really get the most out of these tools." "We know mentorship and advice and learning from others can make such a difference. Finally, we have the technology to democratize it." "You're going to see all sorts of really exciting new businesses in these places that are going to transform economies and transform lives." About Our Guest Rembrand Koning is the Mary V. and Mark A. Stevens Associate Professor of Business Administration at Harvard Business School. As Co-Director and Co-Founder of The Tech for All Lab at Harvard's Digital, Data, and Design (D^3) Institute, he leads research on how entrepreneurs can harness AI to benefit humanity.
AI, entrepreneurship and development:https://voxdev.org/topic/firms/ai-entrepreneurship-and-development
Global Evidence on Gender Gaps and Generative AI:https://osf.io/preprints/osf/h6a7c_v1 The Uneven Impact of Generative AI on Entrepreneurial Performance:https://osf.io/preprints/osf/hdjpk_v1
More About Prof. Rembrand Koning:www.remkoning.com AI For A Billion Entrepreneurs:https://www.linkedin.com/posts/rem-koning_ai-for-a-billion-entrepreneurs-activity-7273315762860179456-YEKm?utm_source=share&utm_medium=member_desktop More About The Tech For All Lab:https://d3.harvard.edu/labs/tech-for-all-lab/ Learning For Individuals:https://d3.harvard.edu/learning-programs-for-individuals/ Connect With Embedded
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24 Nov 2024 | Reshaping Work: AI's Revolution in Skills & Opportunity | 00:27:58 | |
In our debut episode of the Embedded podcast, host Zain Verjee is joined by Aneesh Raman, LinkedIn's Chief Economic Opportunity Officer, for a discussion about the future of work in the AI era. He discusses the trends he's been witnessing since the AI boom and breaks down some of the skills and qualities that will be most valuable for employers in an AI economy. How can AI be leveraged to create more efficient and personalised systems to match opportunity more effectively with with skills? What will the impact of AI be on jobs? And how can we create a more equitable work environment, addressing existing biases and lowering barriers to entrepreneurship for marginalised groups? We tackle the crunchy questions on Embedded. Episode Timestamps 00:00 - Introduction and welcome
01:02 - AI's Impact on Work: The Four Transformations
03:45 - The Rise of Soft Skills
05:11 - Redefining Skills in Communications
06:57 - The Future of Hiring
09:19 - AI and Equity
13:11 - AI in Emerging Markets
16:46 - The Future of Journalism
22:38 - Personal Reflections 24:31 - Closing Thoughts
A former CNN war correspondent and speechwriter to President Barack Obama, Raman is an experienced communicator, focusing his career in recent years on the expansion of economic opportunity. He is currently Chief Economic Opportunity Officer at LinkedIn. His focus now seems to be expanding economic opportunities through new skills and creating better workforces. At LinkedIn, Raman is leading an effort to help build a more efficient and equitable labour market by engaging with leaders from the public and private sector. His work centres around making skills-first thinking mainstream in talent management, which is a priority for LinkedIn. Connect With Aneesh LinkedIn: Aneesh Raman Aneesh’s Previous Work
Next Episode Join us next week for "Ethics by Design: Building Equitable AI Systems" with Rashida Richardson, Senior Counsel at Mastercard, as we explore the crucial intersection of AI ethics and system design. Embedded is a production of The Rundown Studio. For more insights on AI's impact on emerging markets, visit www.therundown.studio #AI #FutureOfWork #EmergingMarkets #Skills #LinkedIn #AfricanTech #WorkforceTransformation | |||
10 Dec 2024 | Ubuntu AI: African Philosophy Meets Artificial Intelligence | 00:28:52 | |
Zain Verjee sits down with Wakanyi Hoffman, Storyteller and Indigenous Knowledge Scholar, to explore a much needed crossover: Ubuntu ethics and Artificial Intelligence. In this episode we deep dive into the continent's rich storytelling traditions and how we can embed the values and concept of Ubuntu to provide an ethical framework for building AI systems. One in which indigenous communities can take ownership of their own stories. Through the lens of Ubuntu ethics, they discuss how indigenous knowledge systems could provide the ethical framework needed for truly inclusive AI development, particularly in Africa. The conversation reveals practical approaches to incorporating African values and storytelling traditions into AI systems while addressing crucial questions about data sovereignty and digital colonization.
Wakanyi Hoffman is an author, African Indigenous Knowledge scholar, and global speaker of Ubuntu philosophy. She is a “global nomad”, currently splitting her time between the Netherlands and Germany. Wakanyi is currently the PhD lead researcher for African Sustainable AI at Inclusive AI Lab, which is under Centre for Global Challenges at Utrecht University. At The New Institute in Hamburg, Wakanyi is involved in the program "Conceptions of Human Flourishing". Wakanyi is also a Kenya Education Fund board member dedicated to offering high school education to marginalized, gifted children. Additionally, her advisory role at The Contentment Foundation underscores her dedication to global well-being. She is also a valued board member at Seeds of Wisdom, championing indigenous elders’ wisdom and knowledge exchange. Her initiatives include founding African Folktales Project to bridge gaps between indigenous and contemporary African societies.
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27 Mar 2025 | Compassionate Storytelling & Using AI to Preserve Cultural Narratives | 00:38:59 | |
In this episode of Embedded, host Zain Verjee explores the intersection of AI, immersive media, and authentic cultural storytelling with pioneering director Michaela Ternasky-Holland. As one of the first directors to work with OpenAI's Sora platform, Michaela shares her journey from Disney performer to Emmy Award-winning filmmaker, and how she uses emerging technologies to preserve cultural narratives while avoiding exploitation. The conversation delves into her concept of "compassionate storytelling," the technical aspects of working with generative AI, and how these tools can be used to reclaim cultural histories that have been erased or forgotten. From her work with Philippine mythology to practical prompt engineering techniques, Michaela offers valuable insights for creators in emerging markets looking to harness AI for authentic storytelling. Key Highlights 🎬 Michaela's unique journey from Disney Cruise Line performer to pioneering AI filmmaker 💡 Using generative AI to visualize lost cultural histories and narratives 🤖 The shift from directing to curating when working with AI-generated content 🎭 Practical prompt engineering techniques for filmmakers 🌍 The three pillars of "compassionate storytelling" and its ethical framework 👩💻 Why women are 25% less likely to use generative AI tools 🔄 Finding the balance between technology and human creativity 🧩 Using smaller, focused AI models for specific cultural contexts Featured Projects & Insights
About Our Guest Michaela Ternasky-Holland is an Emmy Award-winning and Peabody-nominated director who has pioneered the use of AI and immersive storytelling. She was one of the first directors to work with OpenAI's Sora platform, and her work has been recognized at major festivals including Tribeca, the Venice International Film Festival, and South by Southwest. With a background that spans from Disney performance to virtual reality and AI filmmaking, Michaela brings a unique perspective on using technology for authentic cultural storytelling. She developed the concept of "compassionate storytelling" as an ethical framework for creating content that honors both collaborators and audiences.
Embedded is a production of The Rundown Studio. For more insights on AI's impact on emerging markets, visit www.therundown.studio | |||
15 Apr 2025 | Inside Rwanda's AI Blueprint | 00:19:30 | |
In this third episode of a special series of the Embedded podcast, host Zain Verjee speaks with Hon. Paula Ingabire about Rwanda's strategic approach to artificial intelligence. As the Minister of ICT and Innovation, Ingabire shares insights on how Rwanda is positioning itself as a leader in Africa's AI landscape, focusing on talent development, investment attraction, and ethical frameworks. The conversation explores Rwanda's partnerships with educational institutions, the launch of their AI scaling hub, and how the country is addressing the urban-rural divide through technology. Recorded at the Global AI Summit on Africa in partnership with The Rwanda Centre for the Fourth Industrial Revolution, this episode offers a glimpse into Rwanda's vision for becoming a testing ground for AI solutions tailored to African contexts.
🌍 Rwanda's approach to leading Africa's AI development through strategic partnerships and collaborations 🎓 Building talent through programs like Carnegie Mellon University, Africa Institute for Mathematical Sciences, and the Coding Academy for 13-year-olds 💰 The launch of the AI scaling hub with the Bill & Melinda Gates Foundation to support proven AI solutions 🔍 Rwanda's ethical framework emphasizing transparency, privacy, and cultural context in AI development 🏘️ How Rwanda is using AI to bridge the urban-rural divide, particularly in healthcare delivery 👩💻 The importance of women not just using AI solutions but leading in their design and implementation 🚀 The role of local startups in ensuring cultural context and nuances are incorporated into AI solutions
Hon. Paula Ingabire serves as the Minister of ICT and Innovation in the Government of Rwanda, where she champions the country's digital transformation strategy. Before her ministerial appointment, she headed the ICT Business Development Department at the Rwanda Development Board, leading the implementation of national programs in eGovernment and Cyber Security. She coordinated the Kigali Innovation City Project, designed to strengthen a pan-African innovation ecosystem in Rwanda, and was instrumental in creating Smart Africa, an initiative leveraging broadband infrastructure for Africa's socio-economic growth. Minister Ingabire is a thoughtful advocate for responsible AI development in Africa. Under her leadership, Rwanda launched its National AI Policy in 2023, focusing on "creating critical building blocks for AI integration while mitigating associated risks." The policy takes a practical, sector-specific approach, identifying areas with the highest economic impact potential, including agriculture, public administration, education, healthcare, manufacturing, and financial services. Her approach to AI governance is distinctive in that Rwanda is not only creating regulatory frameworks but actively experimenting with AI applications in the public sector. As she explained, "We want to be able to lead the way. We can't only put on a hat of regulations and policymaking. We also want to be able to experiment with the potential of AI across different fields."
Website: www.therundown.studio Twitter/X: @Rundown_Studio_ LinkedIn: The Rundown Studio
Twitter/X: @Zain_Verjee LinkedIn: https://www.linkedin.com/in/zain-verjee-97747467
LinkedIn: https://rw.linkedin.com/company/c4ir-rw Twitter/X: @c4IR_rw Website: https://c4ir.rw/ The Global AI Summit on Africa: https://c4ir.rw/global-ai-summit-on-africa
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27 Feb 2025 | Africa's AI Roadmap: Sovereignty, Strategy & Building Local Solutions | 00:28:45 | |
In this episode of Embedded, host Zain Verjee speaks with Dr. Chinasa T. Okolo, a Governance Studies Fellow at the Brookings Institution's Center for Technology Innovation. As a computer science expert specializing in the impact of AI on the Global South, Dr. Okolo shares her experience consulting with the African Union on their Artificial Intelligence Continental Strategy. The conversation explores the unique challenges Africa faces with AI adoption, the importance of data sovereignty, tackling misinformation, and building AI systems that truly represent African values and contexts. From healthcare applications to language models, Dr. Okolo offers insights on how Africa can chart its own course in AI development while addressing persistent issues of bias and representation. Key Highlights
Episode Timestamps 00:00 - Introduction and welcome 00:53 - Unique AI challenges in Africa 03:10 - The African Union AI Continental Strategy experience 05:00 - Human capital development in AI 07:15 - Implementation challenges and governance issues 09:30 - International partnerships and diaspora contributions 10:44 - AI applications in healthcare and frontline workers 12:27 - Addressing racial and cultural bias in AI 15:00 - Building authentic African datasets 17:00 - Small vs. large language models for African contexts 20:00 - Data nationalism and protection strategies 22:10 - Combating misinformation and disinformation 23:50 - Fact-checking organizations and initiatives 25:00 - Digital literacy and AI education 26:10 - Advice for communications specialists About Our Guest Dr. Chinasa T. Okolo is a Governance Studies Fellow at the Brookings Institution in the Center for Technology Innovation. Her expertise spans computer science with a focus on AI's impact in the Global South. As a Consulting Expert with the African Union, she contributed to the development of the AU-AI Continental Strategy, which aims to promote responsible AI adoption, development, and governance across African Union member states. Dr. Okolo also serves as an Ethics Advisor to the Equiano Institute, a research lab focused on steering safe and trustworthy AI in Africa. Her research examines the intersection of healthcare, AI ethics, and governance in emerging economies.
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Embedded is a production of The Rundown Studio. For more insights on AI's impact on emerging markets, visit www.therundown.studio |