The Ethiopian Artificial Intelligence Institute was among the federal institutions whose nine-month performance reports were reviewed by the House of Peoples’ Representatives in the month of Miyaza. The Institute presented its report to the House’s Standing Committee on Law and Justice Affairs.

Despite the named institution performance report, Prime Minister Dr. Abiy Ahmed has been appointed as the African Union Champion for Artificial Intelligence and Digital Health, in recognition of his leadership in advancing digital transformation and emerging technologies across the continent; per the appointment letter of the African union. There is no doubt that the announcement underscores Ethiopia’s growing role in shaping Africa’s technological future, particularly in artificial intelligence and innovation-driven development.

Based on these monthly relevant developments, Enderasie has chosen to make the topic the central theme of this week observational insight.

The report was presented by the institute’s Director General, Dr. Worku Gachena. During the reporting period, the Institute significantly advanced Ethiopia’s digital sovereignty by operationalizing a sophisticated infrastructural trifecta: its landmark fifteen-story headquarters building, a five-story building dedicated to the startup ecosystem, and a cutting-edge AI Unipod innovation center.

The Director General reported that significant progress has been made over the past nine months in conducting effective data collection and analysis across the agriculture, education, and finance sectors. To foster youth innovation in Artificial Intelligence and robotics, the Institute is currently providing organized workspace and resource support to 200 startups.

Furthermore, nine software applications, including the Mesob one-stop service, have been developed and are now entering the operational phase. The report also highlighted the development of Mela, a home-grown Artificial Intelligence system, alongside ongoing efforts to collect data for applications designed to transcribe and translate five national languages from speech to text. Honorable Estegenet Mengistu, Chairperson of the Legal and Justice Affairs Standing Committee, characterized the Institute’s nine-month performance as both effective and exemplary, marking a profound transition from theoretical potential to tangible, practical impact.

Background

Since its founding in 2020, the Ethiopian Artificial Intelligence Institute has transformed from a specialized center into a pillar of national digital sovereignty. Formally established by Regulation No. 510/2022, the Institute marks Ethiopia’s strategic shift toward a knowledge-based economy. As a leading state-backed AI hub in Africa, it acts as both an innovator and a facilitator, developing custom solutions for public infrastructure while building a dynamic ecosystem for the private sector.

Regulation No. 510/2022 serves as the definitive official document for the formal establishment of the Ethiopian Artificial Intelligence Institute, reflecting the state’s decision to move towards a digitally advanced nation. The vision of the regulation is to position Ethiopia as a competitive hub for emerging technologies in the Horn of Africa, while its mission centers on research, development, and the ethical deployment of AI-driven solutions to address complex national challenges across sectors such as agriculture, health, and finance.

The Need for an Institute Instead of a Center

Originally, the Artificial Intelligence Institute was a center; two years after it was established, it transitioned into an institute. The transition from a Center to an Institute is much more than a name change; in a governmental context, it represents a significant shift in authority, autonomy, and scope. The leap to institute status was a strategic move to ensure Ethiopia didn’t just consume foreign AI technology but developed the capacity to create its own. By granting the body “institute” status, the government provided a legal personality and financial flexibility required to compete on a continental scale. It transformed the organization by shifting it from a service-oriented sub-unit to a research body in which the organization has expanded its mandate beyond policy advisory to the cultivation of human capital and research implementation

The transformation of the Ethiopian Artificial Intelligence Institute from a center to an institute shows an intentional move to build a digital ecosystem in which continuity is guaranteed, rather than building a consumer-dependent digital space. The transition grants the institution’s rights and responsibilities, such as financial, legal, and administrative autonomy. In addition, this change brought about the national AI agenda as a long-term institutional priority within Ethiopia. This transformation ensures institutional permanence, signaling that AI development is a long-term strategic priority for Ethiopia, and it ensures that progress is made by creating a stable, conducive environment that is required to foster global partnerships and technological sovereignty.

The Opportunities and Challenges of AI

Artificial Intelligence is currently transforming the daily lives of humans in both positive and negative ways. Particularly since the emergence of AI products like ChatGPT, which answer human queries in seconds, the impact of this technology on the future of humanity has become a major topic of intellectual discourse. This technology is influencing social structures, personal lives, business operations, security conditions, education, healthcare, and information dissemination. Accordingly, there is no socio-political or economic sector that is not touched by this technology.  

Increasing productivity in various sectors, saving time and costs, performing difficult and complex tasks, and reducing workload are among the positive roles AI plays. According to the field experts, in developing countries like Ethiopia, where infrastructure is not fully developed, AI provides numerous benefits to the community by supporting various sectors. However, alongside its benefits, this technological revolution has posed several challenges to any society to speak of. Although AI-based technologies are not yet equal to humans in terms of reasoning, balance, and emotional understanding, they organize information better than humans. In this regard, chatbots and ChatGPT can be mentioned. Specifically, ChatGPT is superior to humans in terms of general knowledge.

Experts in the field state that if the process of teaching and training machines incorporates logic and reason in a better and more sophisticated way, it is only a matter of time before AI inevitably surpasses human beings. Nevertheless, due to their complexity and lack of human control, these technologies may exhibit unexpected behaviors or decide on unforeseen outcomes. This unpredictability could lead to results that negatively impact individuals, businesses, or society at large. There is also a growing concern that AI products could replace humans in the workforce, leading to the displacement of millions. Recent data from the International Monetary Fund (IMF) supports this concern, predicting that nearly half of the global working population could lose their jobs because of this technology in the near future.

On the other hand, AI-generated content, particularly Deep Fakes created by mimicking voices and generating video images, contributes to the spread of false information. This blurs the distinction between truth and falsehood. Looking at the issue from an Ethiopian perspective, some experts explain that this could cause significant problems within the community. Furthermore, this technology could exacerbate global issues of inequality and bias. Since inequality and bias arise from skewed training data or algorithmic design, the expert noted that preparing unbiased algorithms and diverse training data is crucial to ensure fairness.

In the security spectrum, reports indicate that because these technologies often operate by collecting and analyzing personal data, issues related to data privacy and security also arise. To mitigate this concern, experts recommend developing strict data protection regulations and secure data handling practices. This is because these machines, which replace humans, lack human control, deliberation, and compassion in the decision-making process beyond the data they are given. Moreover, the experts highlight challenges such as a lack of transparency in data usage, the stifling of human creativity, accountability issues, and the violation of intellectual property rights.

In general, beyond the many benefits it offers, the development of AI has posed a long-term risk to humanity. This could lead to unwanted and disastrous consequences if it does not align with human values or priorities. Consequently, politicians and some leaders of technology institutions are pushing for a legal framework for AI technology. Countries concerned by the technology, such as the US, Britain, and China, are preparing to enact laws to regulate the AI sector. To reduce the risks posed by AI, researchers in the field must actively participate in safety research, collaborate on ethical guidelines, and promote transparency in technological development. Above all, it is essential to ensure through rigorous testing, evaluation and monitoring of machine training data that these technologies stand for the benefit of humanity and do not pose an existential threat.

It is crucial for governments and institutions to prepare new legal frameworks, regulations, and policies regarding the use of AI technology. Otherwise, experts warn that beyond its benefits, AI technology could result in unintended and catastrophic outcomes. It is the invisible current that is being channeled through the nation’s developmental pillars: agriculture, healthcare, education, finance, and the preservation of peace. In Ethiopia’s context, the effect of AI should be seen through the lenses of these pillars:

Agriculture: As Ethiopia is undertaken many efforts to modernize and transform the sector through technology, innovation and research and development, the erst while challenges still persisted. The mainly ones, climate change, soil erosion and pest outbreaks remain significant challenges to the sector. In light of this, Artificial Intelligence initiatives and research are fundamental to overcoming these challenges and ensuring sustainable productivity. Furthermore, Artificial Intelligence plays a vital role by analyzing agricultural data, reducing the wastage of resources and time and enabling decisions that increase yield and productivity.

Using AI and technology helps in accurately predicting crop yields, protecting and caring for animal health and natural resources and mitigating the causes of climate change. These are the main rationale for Ethiopia to realize the national Digital Ethiopia movement, implement digital agriculture, encourage innovation and improve the livelihoods of farmers; which the agriculture ministry launched the Digital Agriculture Roadmap two years back; though its implementation is still in nascent phase.

Healthcare: As Ethiopia faces one of the lowest doctor-to-patient ratios in the world, AI serves as the new diagnostic tool, bringing specialist-level insights to rural clinics and predicting disease outbreaks through data analysis of the current quality of life and healthcare in the most remote corners of the country. On top of that, the integration of Artificial Intelligence into Ethiopia’s healthcare system presents a transformative opportunity to address longstanding challenges and leapfrog traditional developmental hurdles. By leveraging AI technologies, Ethiopia can enhance diagnostic capabilities, expand access to care, strengthen public health surveillance and optimize operational efficiency.

Education and Finance: In education, AI facilitates personalized learning, adapting curriculum to the pace and capabilities of individual students, ensuring inclusivity for students with physical and learning disabilities. In the financial sector, AI has become the engine for digital financing by powering digital banking systems.

Challenges of AI in Developing Countries

When AI is integrated into different spaces, the progress it brings about is always noted, but the challenges are sometimes left unaddressed. In developing countries, keeping electricity on is a huge obstacle that many countries cannot overcome, and AI requires large quantities of power and access to high-speed internet. In Ethiopia, where power outages and slow internet connections are a massive problem, this in turn slows down the capacity and effectiveness of AI. Another challenge is that most AI programs are trained in the West, thus meaning local information and language processing in AI comes with multiple errors and faults. For AI to truly work, local talent needs to be harvested, but this is not without its risks. As Ethiopia’s AI sector is in its infancy, the government needs to ensure that local talents don’t get swayed by big corporations outside the country. As many individuals with talent leave in search of better opportunities, this leaves Ethiopia without experts on the matter. Thus, the governments must provide opportunities in which talent can grow, and AI can be trained locally. The most crucial challenge is how the government can support new start-ups without certain issues being out of control. There must be a delicate balance between moving forward and the protection of safety and privacy, with the creation of regulations specifically towards the use of AI data.

The report by UNIDO entitled “AI and the future of industry: challenges and opportunities for developing countries” highlights that developing nations face structural vulnerabilities when it comes to AI. Many developing nations lack basic data protection laws for AI. Additionally, there is a massive capacity gap and a lack of resources to draft regulations and support infrastructure for technologies that could potentially worsen the wealth gap, leaving informal workers at high risk. The high cost of developing AI models creates a structural barrier to entry, which allows big tech companies to dominate and eventually assimilate tech companies into their own. Another financial problem of underinvestment in research and development limits the ability of nations to build AI models based on their need rather than their capabilities.

The Coming Waves of AI-Driven Challenges for Ethiopia and its Institutional Capabilities to Overcome its Vices

According to CIPESA (Collaboration on International ICT Policy for East), access to the internet in Ethiopia is only limited to 35% of the population. This raises the question of whether the goal of making Ethiopia an AI hub seems unattainable.  

Ethiopia is very enthusiastic about its digital goals and transformation, aligning with its AI developmental goals, but a paradox presents itself when persistent gaps, such as lack of access to the internet, affordability, and availability, are questions to be raised. When much of the population doesn’t have access to the digital world, AI development risks becoming an industry that serves a few portions of the population. Without governmental aggressive intervention to ensure the majority has access to the internet, the visionary aspiration of the future of AI is dismal at best.

As the World Bank; The 2025 edition of the Digital Progress and Trends Report, Ethiopia is at the bottom tier globally, highlighting deep structural gaps in connectivity, computing power, data availability and digital skills that threaten to widen economic and social inequality. The report classifies Ethiopia as a low-income country underperforming on both dimensions of AI readiness, meaning it lacks not only the market size and infrastructure to develop AI technologies but also the per-capita capacity needed to adopt and use AI across public services, businesses and daily life. According to the report, countries that lack sufficient AI “intensity” often see adoption confined to elite institutions or a few urban centers, leaving most of the economy untouched by productivity gains. For Ethiopia, this means AI deployment risks deepening urban-rural and income divides rather than closing them.

Ultimately, for Ethiopia to reconcile its ambitions, the government must treat access to the internet as a public necessity, ensuring that all regions can afford to have access. Without a massive push for infrastructure, the gap between urban centers and rural areas heightens, thus only creating urban digital spaces and not a nationwide digitally active campaign.

Another challenge is the scarcity of resources. Ethiopia is highly dependent on imported technology, which causes a strain on research. Additionally, datasets are very limited in Ethiopia; usually, most datasets are hosted externally. There is also an inconsistency in AI education and the demand for AI. While the Ethiopian Artificial Intelligence has begun addressing these problems, schools and universities lack a structured curriculum regarding AI.

Ethiopia’s digital revolution is currently at a crossroads; on one hand, the establishment of the Ethiopian artificial intelligence institute and the implementation of the Digital Ethiopia Strategy 2030 signal a path to success, on the other hand, Ethiopia is embracing negative waves of AI-driven challenges such as disinformation and algorithmic bias. Moving forward to the next decade, a critical question arises of whether Ethiopia can mitigate the challenges of AI to protect its citizens from the vices of the very tools it seeks to master.

The first wave of AI challenges is the presence and lack of regulation of disinformation, which mainly comes from the local languages that are least resourced in the global AI technological breakthroughs. Prior to the use of AI, disinformation on social media has been the root cause of many riots and conflicts; to this day, disinformation is very prevalent in Ethiopia. With the help of AI, we have seen many deep-fake videos of influential people. This content is being shared and circulated at an alarming rate. These may seem like technical glitches, but in a politically charged environment, digital misinformation fuels local tensions and widespread conflict. Aside from disinformation, algorithmic bias is a subtle challenge many fail to notice. Most AI models are deployed and trained outside of the country. These datasets fail to account for the diverse languages and dialects in Ethiopia. AI fails to detect hate speech in local languages, resulting in an erosion of rights and civic trust. The absence of local training for AI leads to automated content moderation and pushing out certain unwanted content.

Even though the Ethiopian artificial intelligence institute serves as the country’s technological engine room, it lacks legal frameworks. While the National AI Policy is a monumental step, it remains largely declarative as there are no enforcing mechanisms. Additionally, the Personal Data Protection Proclamation can be used indirectly in some instances, like data privacy, consent, and transparency, but it lacks provisions that specifically address the misuse of AI. Another huge challenge of AI in Ethiopia is the lack of specialized talent and the shortage of experts who can filter the system for a fault or bias; thus, Ethiopia heavily relies on experts from other countries, raising a question of whether this will also challenge the digital sovereignty of the nation.

What Lessons can Ethiopia Domesticate on its Own Terms?

When we look at some Asian countries like India, Vietnam, and the Philippines, they struggle with scaling talent and balancing the paid growth of using AI, becoming technological consumers rather than innovators. Ethiopia also faces a similar situation with its low internet penetration and gaps in connectivity in rural regions. Ethiopia can learn a few things from other developing countries, such as Rwanda and Vietnam, which have prioritized the localization and flexibility of digital literacy. Rather than focusing on importing high-end AI technology for individual consumers, AI should be treated as a tool to bridge existing gaps in agriculture and healthcare by investing in data infrastructure.

India provides another great example in which a platform and the national language translation mission offer services such as speech-to-text translation and vice versa to ensure non-English speakers can access digital services. As Ethiopia has already started the Natural Language Processing (NLP), the case of India and how it managed to achieve this success is noteworthy. Another example is Brazil’s Artificial Intelligence Plan, which focuses on using AI to address challenges the Country chronically faces, particularly in healthcare and public administration. Additionally, Brazil is pioneering legislative frameworks that mandate human review for automated decisions that affect citizens’ rights. Ethiopia should impose legislation on learning from Brazil to avoid misinformation and infringement of rights that arise out of misinformation.

Legislative Frameworks of AI in Ethiopia

Even though the integration of AI in different sectors in Ethiopia is in its early stages, its implications are far-reaching. From entertainment and agriculture to education and crucial national security operations, the power of AI needs regulation. In Ethiopia, legal frameworks for AI regulations are still underway.  There are no laws specifically dedicated to AI legislation, but other laws exist that may be indirectly applied to AI, with issues such as the breach of intellectual rights, data management, and privacy. It is worth noting that there is a National AI Policy as a guiding framework established with the goal that Ethiopia will fulfill its digital strategy.

The National AI Policy has an optimistic view about what the future of AI will look like, it is also very critical of the repercussions of AI. It has predicted potential risks and remedies, but the remedies are not backed by legal mechanisms. A good example to showcase the lack of legal frameworks is the risk of data and privacy breaches, as one of the remedies the national AI policy has put forward is the implementation of comprehensive data protection laws. Currently, the AI regulations, aside from the National AI policy, are regulated by the Personal Data Proclamation No. 1321/2024.  While there is a lack of data protection laws, other provisions can be used indirectly to handle the misuse of AI, but it is not enough when the scope of the problem is bigger. The policy also acknowledges other forms of risk, such as social and cultural, economic, and issues with ethics and bias, but a missing element in all matters is a regulatory framework.

CIPESA 2025 report warns that the lack of legislation on accountability of AI algorithms infringes on privacy while enabling digital governance where there is no transparency. The national AI policy should include a budget plan and an enforcement mechanism to halt the creation of a legislative vacuum.

The presence of the National AI policy serves as a roadmap by prioritizing ethics and sovereignty, but ultimately, it is a non-binding document. With the absence of an AI act, Ethiopia relies on a few legislative pillars to govern the digital space, the Personal Data Protection Proclamation (PDPP) No.1321/2024. This proclamation establishes ground rules for the indirect regulation of AI. On the PDPP document, articles 20-22 cover issues regarding data sovereignty and regulated cross-border data transfer and localization, which aim to guarantee Ethiopian data remains under the country’s jurisdiction, which can be viewed as a key component of sovereign AI ambition. Article 31, which covers automated decision-making, serves as a cornerstone for AI governance by granting the right to intervention for individuals when a decision made using automated processing impacts them significantly. Additionally, Article 47 covering the issue of impact assessments mandates data controllers to conduct an impact assessment for high-risk processing, which, by association, includes AI-driven analytics.

Upon closer look, it is evident that there is a clear ambition, but the safety nets are not fully woven. The most critical blind spot of both the national policy and the PDPP is issues regarding surveillance and military, intellectual property rights, and the sovereign AI paradox. The AI national policy officially lists national security as a top priority for AI, but its words fall short as there are no independent watchdogs for issues like AI-powered drones and facial recognition. The current PDPP gave no restriction to the military and national security agencies; this leaves a dangerous vacuum where essentially there is no legal check to stop powerful technologies shifting from national defense towards monitoring citizens.

Regarding intellectual property rights, the Ethiopian intellectual property laws were written and designated to human creations and inventions; they fail to consider the inventions and works of AI. As of now, there is no legal answer to who owns creative work, such as music, a poem, or any other creative invention that was generated using AI. The lack of patents and copyright scares local innovators who are not sure of the safety of their work.

Finally, there is some kind of contradiction within the goal of Sovereign AI, as Ethiopia wants to be in full control of its digital sovereignty. A huge challenge presents itself: the lack of resources, such as telecom towers and servers, slows down progress. These servers are almost entirely built by foreign companies like Huawei and ZTE. This gap creates a situation in which we might own the data, but we are essentially ‘renting a brain’ by heavily relying on foreign technology, risking importing their data biases and having less control over the actual technology.

BRIDGE’s few Recommendation points

For Ethiopia to fulfill its digital strategy and ensure the future of AI is optimistic and viable, BRIDGE presents the following recommendations

 

1. 1. Even though Ethiopia initiated the Digital Ethiopia strategy in June 2020 to leverage digital opportunities and transition toward a knowledge-based economy, there are few reports that highlight that overcoming hurdles such as data accessibility, infrastructure gaps, digital inclusion, and financing constraints will be crucial for scaling AI adoption and supporting emerging use cases. Cognizant of these, BRIDGE recommend the relevant institutions to:

1. 1. Recognize access to the internet as a public utility under a law, and integrate it into the country’s development goals;

1. 1. Assigning funds to support the expansion of the broadband network in rural areas and;

1. 1. Promoting collaboration between government-owned and private telecoms and other private companies to contribute to building the proper infrastructure

1. 1. There is no doubt that, under this new human adventure’s technology, establishing AI excellence Centers Nationwide is a paramount national priority. To accelerate AI adoption and bridge the gap between research and real-world applications, Ethiopia could establish dedicated AI innovation hubs that bring together public, private, and academic stakeholders. These hubs would serve as testing grounds for AI-driven solutions in priority sectors like agriculture, healthcare, and financial inclusion, ensuring that innovations are developed in response to local challenges.

1. 1. With regard to some legal loopholes, strengthening legislative mechanisms shall be considered too; these shall contain;

1. 1. Draft a National Artificial Intelligence Act and establish other regulations that specifically address all issues regarding the use of AI;

1. 1. Establish review boards for the use of AI in public institutions to ensure accountability.

1. 1. Update the intellectual property rights to recognize AI-generated works to ensure local creators have a legal claim over their digital inventions.

1. 1. Current observations indicate that while the Ethiopian government plays a pivotal and recommendable role in driving AI developmental trajectory, private sector participation remains significantly limited. This asymmetry may hinder the country’s ability to attract meaningful investment. In contrast to regional technology hubs such as Kenya and Nigeria, where private-led innovation is a primary economic engine, Ethiopia’s AI ecosystem is predominantly state-driven, resulting in an underdeveloped startup and research landscape. To address these gaps, BRIDGE strongly urges the relevant authorities to foster a more private-sector-friendly ecosystem, which involves removing bureaucratic hurdles that may stifle innovation; Creating frameworks that attract local and international private capital and transitioning the AI sector from a purely state-led initiative to a collaborative model that empowers the private sector to deliver broader societal benefits.

1. 1. Last but not least, BRIDGE recommends the case of affordable mobile technology and digital literacy; To maximize the potential of mobile-enabled AI applications, efforts should focus on enhancing mobile accessibility for underserved groups, especially women and rural populations. BRIDGE believe Policies aimed at reducing the cost of mobile devices, improving network connectivity, and increasing mobile internet access will be critical. Alongside this, digital literacy programs should be scaled to ensure that marginalized populations have the skills to use these technologies effectively, particularly for accessing essential services such as healthcare and financial services.