Technology Adoption In Africa – This essay opens up at the beginning of the African chapter 525-2030, which explores how rising technology can meet other continental challenges, including economic, environmental, social and administrative issues, and becomes a change in the development of Africa.
Success in the development and deployment of AI and rising technologies, often called the fourth Industrial Revolution (4ir), 11 makes headlines and stimulates excitement and anxiety in science and politics. Recently, there has been an attempt to analyze systematic how AI and rising techniques can influence the goals and results of development. Despite recent estimates, it is estimated that Africa will be on its way to less than 6 % of the UN (SDGS) sustainable development by 2030, 2 international developmental community and the same decision makers are looking for improvement improvements that can increase the effects and eventually the Agenda 2063 goals. It is clear that AI and rising technologies can play a stimulating role in achieving development results, but there are important ideas on how and to what extent they can do in different areas of development. These techniques also carry potential traps that need to be studied. Recent study by ET. Al estimated AI’s impact on SDG’s success and noticed that the General AI could enable 134 targets while preventing the effects of 59.3 AI and rising technology, which are rarely assessed in the central field of development – economic, social, environmental and administrative – discussed detail in detail below.
Technology Adoption In Africa
AI and rising technology can play a stimulating role in achieving development results, but there are important ideas that need to be taken into account how and to what extent they can do so.
Figure 14 From Diffusion Of Innovation And The Technology Adoption Curve: Where Are We? The Zimbabwean Experience
By 2035, AI could increase the number of national income twice in African countries.4 Vineua Assessment et al. SDGs can benefit from 42 financial goals (70% of what writers call a “economic” SDG group) when it negatively affects 20 (33%). 5 AI’s economic benefits and other rising techniques are often due to their effects on productivity, both by improving industrial production and through changes in structure.6 In the three main sectors of the economy – growing, industrial and service – 4ir techniques can take the role of a catalyst in public and private investments, regulations and In the delivery of the service delivery.7
However, the equality represents a major problem when it comes to the challenge of rising, especially technologies, especially technologies, ensures that people do not get back as jobs continue to change after new technology. The future of African population and 2063 are half of the world’s most active population. This is a very important challenge for the mainland to win.8
Vinueesa et. AL, SDG’s evaluation of AL, AI has potential to enable 67 goals (82%) in the “social” SDG group and 1 sustainable poverty -sustainable, sustainable 4 -century high -quality education, 6 sustainable water and pure sanitation, SDG 7 With cheap and fresh energy and sustainable sustainable development cities, a circular economy that controls resources more effectively to reduce waste.
According to SDG 3, which refers to good health and well-being, 4ir techniques already help African countries achieve healthcare results and eliminate health conflicts in better ways of the mother, Anna cognitive ideas and advertise AI-Sweet Clinic Meeting.11
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In health care wang et. They look at how health care can benefit from the combination of small, special models and the large standard that is currently common in medicine.12 They discover that large AI models can take responsibility for the most useful in medical discussions and in the analysis of medical photographs; However, these models require greater information, which can lead to their concentrated development in areas outside Africa.
Despite this ability, AI can also adversely affect 31 SDG targets (38% of the “social” Vinusa group. Small farmers have been left, while large agricultural production companies in other areas are captured by technology solutions), but technology solutions). Or if you add or improve the discrimination of women and few through preference algorithms or image recognition.
Friendship between AI/rising technology and the environment has been widespread, and literature emphasizes different effects. There are important concerns about expressing the environmental impact of AI and other advanced techniques, as well as a reduction in resources and carbon production if no carbon sources are met with the requirements of high intensity. On the other hand, AI is recognized as a tool that can help reduce the effects of climate change, early alarm systems, land management, sustainable agricultural methods, climate risks assessment and other GSMA summary of GSMA. 14
Vinusa et. Al -SDGS assessment found that AI could allow 25 goals (93% of the SDG group) because it is able to model the effects of climate change, the identification of oil leakage, the identification of desert trends and other uses. 15
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Machine learning has also been found to be an excellent anti -climate change device by providing predictions for demand, increasing electrical systems, accelerating clean energy technology and sending a good network and catastrophic treatment according to Rolnick ET. AL.16 Combining machine learning with 3D production and printing can lead to a reduction in carbon material in the structure and can even create “new weather material”. 17 Rane states that production AI can increase understanding of climate change, storage and repair to the public and professionals, and to provide help in monitoring forest destruction and wildlife, marine data analysis, disseminating information about fishing and more. 18
According to Olastunden, Adelan and Sikhakhanen, AI, as well as other emerging techniques, such as cloud computers, objects and distant sensations, can help Africa increase water management by reducing waste through detection systems, predicting the failure of equipment and removing debris and debris environmental results and has a necessary spread to other development goals related to sanitation and agriculture.19
AI could help African governments to provide public services and strengthen Africa management. For example, in Togo, the government used AI’s Novisi -Ranage Transfer program to successfully cleanse the second phase of its second phase by allowing 57,000 recipients of social funds in 100 poor cities to identify without communication.20
Rane notices that production AI can help professionals and citizens through legal cases to increase the effectiveness and legal enforcement of the court by increasing the confidence, transparency and fairness of citizens and institutions.21 AI can also strengthen international cooperation by identifying international cooperation threats. In Zambia, AI’s reality tool called Iverify, which uses machine learning to find anger speeches and checks, and to receive positive feedback.22
Africa’s Big Economies Lead Ai Adoption
However, there are challenges within the rule, as AI can also plant polarization and promote misconceptions that can adversely affect the social solidarity .23.
Literature reviews from 4ir in Africa and Kibe, Kwanya and Nyagowa found that 4ir technology has already been sent to education, health care, e -commerce, tourism, record -breaking and project management in Africa.24 However Full capacity for further development and 4ir skills, infrastructure, stakeholder participation and relevant policies. These restrictions and challenges are surrounded by two things: values and safety and equality value.
Although it is clear that AI and rising techniques have great potential for positive changes, they can also be released for negative reasons. According to the Development Training Institute, by 2023, African governments spent over $ 1 billion in digital diagnostics technology, some of which are used without proper legal protection.25
There are also concerns about the human workforce of the AI algorithms so far to non -Western countries and to the East Africa, where employees are paid some of the wages they would receive elsewhere.26 themselves 2023, the journalists they described how Openai, chatgpt, offered algorithms to Keniah, Those who carried out less than $ 2 per hour.27 These reports make it clear that it is very important to consider the work type AI create or change.
Leveraging Ai And Emerging Technologies To Unlock Africa’s Potential
There are also moral and safety risks due to the lack of examples of African information. These risks are improved in particular in the health care sector, where internal preferences can affect the implementation of cognitive support or other countries based on information that can cause stress effects on health effects.28
One of the most important challenges in African countries in AI and rising techniques is the ability to increase equality in continental and between them
