{"id":17,"date":"2017-10-20T02:11:12","date_gmt":"2017-10-20T02:11:12","guid":{"rendered":"https:\/\/blogs.harvard.edu\/damolamorenikeji\/?p=17"},"modified":"2017-10-20T04:53:21","modified_gmt":"2017-10-20T04:53:21","slug":"africa-and-ai-now-future","status":"publish","type":"post","link":"https:\/\/archive.blogs.harvard.edu\/damolamorenikeji\/2017\/10\/20\/africa-and-ai-now-future\/","title":{"rendered":"Africa and AI, Now and the Future: A Call for a Continental Renaissance"},"content":{"rendered":"

The following is based on my research at the Berkman Klein Center for Internet and Society<\/a> at Harvard University this summer in the the Youth and Media team. Thanks to the YaM\/AI team for the support.<\/em><\/p><\/blockquote>\n

 <\/p>\n

Much has been said and written about the potential impacts of artificial intelligence in revolutionizing every sector of life as we know it. The purpose of this piece is to look at these developments through a regional lens, focusing on Africa.<\/span><\/p>\n

How Do We Think about AI?<\/b><\/p>\n

As I write this, I am yet to be aware of any universally accepted definition of artificial intelligence; hence, I will shy away from defining artificial intelligence, so we may continue to have inter-disciplinary conversations that enrich our understanding of AI. Defining artificial intelligence seems fluid, though it is important to know that it includes various things, depending on who is giving the definition and why the definition is given. Artificial intelligence has been explained as a set of capabilities exhibited by a computer that resembles intelligent behavior (Elish, 2016). AI overlaps with concepts such as large-scale machine learning, deep learning, reinforcement learning, robotics, computer vision, natural language processing, collaborative systems, human computation, internet of things (IoT), and neuromorphic computing (Stone et al, 2016).<\/span><\/p>\n

In more practical terms, I see the manifestation of artificial intelligence tools, for example, in the maps that provide directions and predict the duration of my trip when traveling from Abeokuta to some parts of Ilorin in Nigeria; the news suggested for me to read based on my previous online searches; and the array of advertisements I see whenever I use my phone online. Most of the time, the prices I find whenever I want to try making purchases on e-commerce platforms are decided by some algorithm, based on my previous searches and several other factors. When in Lagos, I and other commuters use a bot to get directions and prices for public buses – something other advanced maps lack. Soon enough, we will have access to autonomous vehicles. From the rise of on-demand transportation (Chutel, 2016), the increase in wearable technologies (ITWebAfrica, 2017) and telemedicine in the health sector, we see the current and potential impact of artificial intelligence in Africa.<\/span><\/p>\n

Why Should We Care?<\/b><\/p>\n

Considering the potential of artificial intelligence to empower government institutions, businesses, industries, and individuals, we have a responsibility to understand artificial intelligence systems and engage with these systems\u2019 ethical challenges and opportunities. It is the right and logical thing to do.<\/span><\/p>\n

We might begin by thinking about how artificial intelligence might impact our society more broadly. Public understanding of the influence of AI is challenging to estimate, not only in Africa but other parts of the world, as the research, development, and deployment of intelligent systems are nascent, fractured, and poorly understood by those outside of specific technical fields and corporate efforts (Elish, 2016). As AI is being introduced into various industries, from healthcare to transportation to education, we should reflect on potential risks caused by unconscious biases and errors restricted to the \u2018black-boxes\u2019 of proprietary systems. Currently, there are no socially accepted ethical standards for creating artificial intelligence systems. There have been several reports of racial and gender biases exhibited by AI programs and tools (Devlin, 2017); with the ease of deployment, I only wonder what effect these biases may have on the African population, in terms of brewing external bias and discrimination.<\/span><\/p>\n

In preparation for the future, Africa needs to keep an eye on the development of artificial intelligence, its impact, the likely challenges it will bring and, more importantly, the ethics and governance principles that guide its domestic use.<\/span><\/p>\n

The \u2018<\/b>Sidon-look don Do\u2019<\/i><\/b><\/p>\n

For readers unfamiliar with the italicized heading above, Sidon-look is a state of a seemingly nonchalant attitude and the embrace of the \u2018let-the-sleeping-dog-lie\u2019 syndrome. It also describes the act of staying away or having a passive response to discussions or issues. \u2018S<\/span>idon-look don do,\u2019<\/span><\/i> referencing the Nigerian unofficial pidgin language, is another way of saying \u201cenough!\u201d to the passive response of the African community in terms of advances in the recent industrial revolution. This is a call for all stakeholders to rise to the challenge and contribute to the discussion around the ethical governance of artificial intelligence systems to help advance society as a whole in the context of our rapidly evolving technological landscape.<\/span><\/p>\n

There needs to be an effective collaboration between governments, policy makers, the private sector, research institutes, entrepreneurs, futurists and civil society groups to research, study, understand and produce materials that serve as guidelines for navigating the future of artificial intelligence and maximising the potential of emerging technologies in Africa. Civil society groups need to understand the effect of these technologies on their work and build tools to educate the public about these systems. Members of the fourth estate have an unbiased responsibility to be just in educating the public about the effects of artificial intelligence.<\/span><\/p>\n

What this means for Africa\u2019s Young People<\/b><\/p>\n

An understanding of what the concept of artificial intelligence and other emerging technologies mean to the teeming African youth population represents a key step in preparing for the future, promoting digital citizenship in a knowledge-based economy, and facilitating home-grown innovation. Young people in Africa should go beyond simply consuming AI-based service to becoming co-creators.<\/span><\/p>\n

To promote engagement of the young generation in AI, it is useful to consider the current and future educational landscape of the continent. Indirectly, this framing will help the continent ask herself tough questions, such as, What are jobs of the future like, and what types of skills are required? How can we best prepare youth for long-term success given these occupational, and, subsequently, educational, shifts? The challenge will not be finding quick answers to these questions; the challenge will be sincerely asking the right questions devoid of political or cultural sentiments.<\/span><\/p>\n

With a rapidly growing youth population, Africa has been estimated to be home to over one billion young people by 2050. According to the United Nations, there were 1.2 billion young people globally between ages 15-24, with an expected growth to about 1.3 billion by 2030 (United Nations, 2015). In 2015, 226 million young people aged 15-24 years lived in Africa, accounting for 19% of the global youth population. By 2030, it is projected that the number of young people in Africa will have increased by 42%.<\/span><\/p>\n

To further contextualize these statistics, the youth population in Africa in 2015 was three times more than the entire population of the United Kingdom and about 70% of the population of the United States of America. The United Kingdom\u2019s Office for National Statistics (2017) recently updated the population count to 65.6 million, while the US Census Bureau (2016) clocked the entire population at 323 million people as at July 4, 2016.<\/span><\/p>\n

Rise of AI Startups<\/b><\/p>\n

One noteworthy trend within the artificial intelligence industry in Africa has been the rapid growth of AI-based start-ups. These services range from a chatbot that allows users to make financial transactions easily, a tool used in detecting diseases and improving agriculture in Uganda, a platform for quick and cost-effective diagnosis of birth asphyxia from infant cry, and several business-owned chatbots.<\/span><\/p>\n

Some countries in Africa are promoting start-up development by establishing and strengthening innovation hubs, often led by the government, the private sector, and academic institutions. According to this report, there were over 300 technology innovation hubs across Africa as of March 2017 (Ventureburn, 2017). Beyond being spaces for experimentation, innovation hubs and makerspaces in Africa should prioritize investment in research and development, and build partnerships that promote AI-based growth.<\/span><\/p>\n

While I delight in the rise of AI to solve meaningful problems for a lot of people, especially those at the bottom of the pyramid, I tend to imagine what possibilities can exist with AI beyond the grip of the current tech giants within startup communities. Can we truly have open-source tools that innovators and academics can leverage for research and development?<\/span><\/p>\n

With the development of AI, it is important to think about ethics that can be imbued in intelligent assistants, to reflect and promote the positive values we embrace as a society. There needs to be a system that rewards ethical excellence in the design, deployment, and use of AI. More than before, there is a need for a set of ethical principles that guide the process of building AI systems.<\/span><\/p>\n

Call for Visibility<\/b><\/p>\n

For the past several months, I have been studying<\/a> the artificial intelligence landscape in Africa. I have observed a very clear divide between Africa and other parts of the world in the context of AI. We seem to have the \u2018Global North\u2019 as the AI-have and the \u2018Global South,\u2019 especially Africa and Latin America, as the AI-have-not. While I acknowledge the presence of artificial intelligence research groups within the continent, they seem to be challenged by the seemingly low visibility of their work. This makes it easy to think that either there aren\u2019t relevant ongoing practical research projects in fields related to artificial intelligence and its impact on society, or we have a cycle of research made solely for publication and adjoining promotion within the academic ecosystem, without any relevance to societal needs, which may widen the disconnect between the gown and town.<\/span><\/p>\n

This also serves as an open call to identify and make visible initiatives by stakeholders, within and outside academia, that demonstrate recent development in the field within Africa. I encourage these initiatives to involve young people, from any of the over 50 countries in the second largest continent of the world.<\/span><\/p>\n

Apart from the United States and Canada contributing to the global conversation around \u00a0artificial intelligence and other emerging technologies, China has also become a key player in the field of AI. Experts have ascribed this to the large market in China and the vast base of AI-knowledgeable individuals. For instance, 43% of the contributors to AI publications are from China, producing extensive amounts of information that promote the data-driven AI economy. In October 2016, the United States Government released a plan aiming to help prepare society for the future of artificial intelligence. In a related development, China recently unveiled a \u2018new generation of artificial intelligence development plan\u2019 strategically showing commitment to shaping the influence of AI till 2030.<\/span><\/p>\n

Africa cannot afford to \u2018play catch-up\u2019; more than ever, there need to be conscientious efforts to understand and shape conversations around the development of artificial intelligence, affirming the \u2018Africa-rising\u2019 trajectory and spurring innovation and economic growth. These decisions and adjoining actions from Africa around the evolution of technology will have an enormous impact on educating the next generation of leaders in the continent, redefining economic development and citizen well-being. Given that Africa has an estimated population of 1.248 billion people, with a median age of 19.5 years, with the right decisions and infrastructure, leveraging technological advancement, a brighter future can be secured for the future of the continent.<\/span><\/p>\n

It starts with getting involved, one positive action at a time.<\/span><\/p>\n

 <\/p>\n

References<\/b><\/p>\n

Chutel, L. (2016, June 2). Uber\u2019s rivals in Africa promise happier drivers, traffic jam deals and even price haggling. <\/span>QUARTZ Africa<\/span><\/i>. Retrieved from https:\/\/qz.com\/696128\/ubers-rivals-in-africa-are-promising-happier-drivers-traffic-jam-deals-and-even-price-haggling\/<\/span><\/p>\n

Devlin, H. (2017, April 13). AI programs exhibit racial and gender biases, research reveals. <\/span>The Guardian<\/span><\/i>. Retrieved July 22, 2017, from https:\/\/www.theguardian.com\/technology\/2017\/apr\/13\/ai-programs-exhibit-racist-and-sexist-biases-research-reveals<\/span><\/p>\n

Elish, M., Hwang, T., T. (2016). <\/span>An AI Pattern Language<\/span><\/i>. Available from https:\/\/www.datasociety.net\/pubs\/ia\/AI_Pattern_Language.pdf<\/span><\/p>\n

Executive Office of the President, National Science and Technology Council, Committee on Technology. (2006, October). <\/span>Preparing for the Future of Artificial Intelligence<\/span><\/i>. Retrieved from https:\/\/obamawhitehouse.archives.gov\/sites\/default\/files\/whitehouse_files\/microsites\/ostp\/NSTC\/preparing_for_the_future_of_ai.pdf<\/span><\/p>\n

ITWeb Africa. (2017, June 21). Strong growth of wearables market in Middle East & Africa \u2013 IDC. <\/span>ITWeb Africa<\/span><\/i>. Retrieved from http:\/\/www.itwebafrica.com\/enterprise\/505-africa\/238043-strong-growth-of-wearables-market-in-middle-east-a-africa–idc<\/span><\/p>\n

Office for National Statistics. (2017, July 21). Overview of the UK population – Office for National Statistics. Retrieved July 22, 2017, from https:\/\/www.ons.gov.uk\/peoplepopulationandcommunity\/populationandmigration\/populationestimates\/articles\/overviewoftheukpopulation\/july2017<\/span><\/p>\n

Stone, P., Brooks, R., Brynjolfsson, E., Calo, R., Etzioni, O., Hager, G., Hirschberg, J., Kalyanakrishnan, S., Kamar, E., Kraus, S., Leyton-Brown, K., Parkes, D., Press, W., Saxenian, A. Shah, J., Tambe, M., Teller, A. (2016, September). “Artificial Intelligence and Life in 2030.” One Hundred Year Study on Artificial Intelligence: Report of the 2015-2016 Study Panel, Stanford University, Stanford, CA. Retrieved from http:\/\/ai100.stanford.edu\/2016-report.<\/span><\/p>\n

United Nations Department of Economic and Social Affairs. (2015). Population Facts: Youth population trends and sustainable development. Retrieved from http:\/\/www.un.org\/en\/development\/desa\/population\/publications\/pdf\/popfacts\/PopFacts_2015-1.pdf<\/span><\/p>\n

United States Census Bureau. (2017). Retrieved from https:\/\/www.census.gov\/quickfacts\/<\/span><\/p>\n

Ventureburn. (2017, March 16). There are over 300 tech hubs in Africa and counting [infographic]. <\/span>Ventureburn<\/span><\/i>. Retrieved July 23, 2017, from http:\/\/ventureburn.com\/2017\/03\/there-are-over-170-tech-hubs-in-africa-and-counting-infographic\/<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

The following is based on my research at the Berkman Klein Center for Internet and Society at Harvard University this summer in the the Youth and Media team. Thanks to the YaM\/AI team for the support.   Much has been said and written about the potential impacts of artificial intelligence in revolutionizing every sector of […]<\/p>\n","protected":false},"author":8837,"featured_media":18,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-17","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized","post-preview"],"jetpack_featured_media_url":"https:\/\/archive.blogs.harvard.edu\/damolamorenikeji\/files\/2017\/10\/Africa.png","_links":{"self":[{"href":"https:\/\/archive.blogs.harvard.edu\/damolamorenikeji\/wp-json\/wp\/v2\/posts\/17","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/archive.blogs.harvard.edu\/damolamorenikeji\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/archive.blogs.harvard.edu\/damolamorenikeji\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/archive.blogs.harvard.edu\/damolamorenikeji\/wp-json\/wp\/v2\/users\/8837"}],"replies":[{"embeddable":true,"href":"https:\/\/archive.blogs.harvard.edu\/damolamorenikeji\/wp-json\/wp\/v2\/comments?post=17"}],"version-history":[{"count":4,"href":"https:\/\/archive.blogs.harvard.edu\/damolamorenikeji\/wp-json\/wp\/v2\/posts\/17\/revisions"}],"predecessor-version":[{"id":22,"href":"https:\/\/archive.blogs.harvard.edu\/damolamorenikeji\/wp-json\/wp\/v2\/posts\/17\/revisions\/22"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/archive.blogs.harvard.edu\/damolamorenikeji\/wp-json\/wp\/v2\/media\/18"}],"wp:attachment":[{"href":"https:\/\/archive.blogs.harvard.edu\/damolamorenikeji\/wp-json\/wp\/v2\/media?parent=17"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/archive.blogs.harvard.edu\/damolamorenikeji\/wp-json\/wp\/v2\/categories?post=17"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/archive.blogs.harvard.edu\/damolamorenikeji\/wp-json\/wp\/v2\/tags?post=17"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}