AI Archives – Collaboration on International ICT Policy for East and Southern Africa (CIPESA)

AN ARTIFICIAL INTELLIGENCE ECO-SYSTEM FOR UGANDA

14Feb

Policy Alternatives for an Artificial Intelligence Ecosystem in Uganda

CIPESA February 14, 2025February 14, 2025

CIPESA |

Economic projections show that by 2030, artificial intelligence (AI) will add USD 15.7 trillion to the global economy. Of this, USD 1.2 trillion will be generated in Africa and could boost the continent’s Gross Domestic Product by 5.6%. Despite AI’s transformative potential, there are concerns about the risks it poses to individuals’ rights and freedoms. There is therefore a need to foster a trusted and ethical AI ecosystem that elicits peoples’ confidence while guaranteeing an enabling atmosphere for innovation, to best harness AI for the greater public good for all.

The discussion on AI in Uganda is still in early stages. Nonetheless, the country needs to develop a comprehensive and AI-specific legal and institutional governance framework to provide for regulatory oversight over AI and the diverse actors in the AI ecosystem. Currently, various pieces of legislation, which majorly focus on general-purpose technologies, constitute the legal framework relevant to AI. However, these laws do not provide sufficient regulatory cover to AI, its associated benefits and mitigation of risks to human security, rights and freedoms.

In a new policy brief, the Collaboration on ICT Policy for East and Southern Africa (CIPESA) reviews the AI policymaking journeys of various countries, such as Kenya, South Africa, Singapore, Luxembourg, France and Germany, and proposes 11 actions Uganda could take to fulfil its aspiration to effectively regulate and harness AI.

The existing key policy frameworks include the Uganda Vision 2040, which emphasises the importance of Science, Technology, Engineering and Innovation (STEI) as critical drivers of economic growth and social transformation; and the National Fourth Industrial Revolution (4IR) Strategy that aims to accelerate Uganda’s development into an innovative, productive and competitive society using 4IR technologies, with emphasis on using AI in the public sector to improve financial management and tax revenue collection. Meanwhile, the third National Development Plan (NDP III) identifies the promotion of digital transformation and the adoption of 4IR technologies, including AI, as critical components for achieving Uganda’s vision of becoming a middle-income country.

The legal frameworks that impact AI-related oversight include the Constitution that lays out crucial benchmarks for the regulation of AI. It provides for the role of the state in stimulating agricultural, industrial, technological and scientific development by adopting appropriate policies and enacting enabling legislation. The constitution also provides for the right to privacy, freedom from discrimination, and the right to equality.

Other key laws include the Data Protection and Privacy Act of 2019 which, even if it was not drafted with AI in mind, is directly relevant to the regulation of AI technologies through the lens of data protection. The Computer Misuse Act of 2011 provides a framework that addresses unlawful use of computers and electronic systems. Relevant to the governance of AI is section 12, which criminalises unauthorised access to a computer or electronic system.

The National Information Technology Authority, Uganda (NITA-U) Act offers a foundation for improving infrastructure to support AI regulation efforts, and established NITA-U, a body responsible for regulating, coordinating, and promoting information technology in the country.

Overall, the current policy and legal framework, however fragmented, provides a starting point for enacting comprehensive, AI-specific legislation.

The growing adoption of AI brings a host of opportunities that positively impact society, including improved productivity and efficiency for individuals, the health sector, civil society organisations, the media, financial institutions, manufacturing industries, supplier chains, agriculture, climate and weather research and academia. AI is also being used by public agencies such as Uganda Revenue Authority to support more effective revenue collection. Uganda’s telecommunications operators are also utilising AI, for example to send targeted messages that encourage users to subscribe to loan offers such as Airtel Wewole and MTN MoKash..

Prospects for AI Regulation in Uganda

As Uganda’s journey of AI adoption and usage gains traction, the following guiding actions that underlie progressive AI frameworks across various countries could help quicken and offer direction to Uganda’s AI aspirations.

Establishment of an AI governance institutional framework to guide the national adoption and usage of AI.
Development and implementation of a “living” framework of best practices on AI that operates across the diverse sectors affected by AI. Singapore provides a best practice in this regard where, as a national agenda, there is consistent codification of best practices that inform the safe evolution of AI in the different spheres. The best practices framework allows for complementing of the regulatory framework. By adopting this best practice framework, Uganda would keep up with the evolution of AI without necessarily undertaking statutory amendments especially in the AI/technology world where there are rapid changes.
Implementation of checks and balances through the creation of specific policies, regulations, guidelines, and laws to manage AI effectively and address the existing significant gaps in its regulation and oversight. To address this, key stakeholders – including the Ministry of ICT and National Guidance, the Uganda Communications Commission, NITA-U, and the Personal Data Protection Office – must collaborate to develop comprehensive and tailored regulations. This effort should focus on understanding AI’s specific dynamics, impacts, and challenges within the Ugandan context and not wholesomely adopting or replicating legislation from other jurisdictions, given the divergences in context at continental, regional and national levels.
Tap into the African AI Frameworks for Inspiration. Drawing on regional and international frameworks, such as the African Union’s AI Policy and the European Union’s AI Act, will offer key strategic guidelines and intervention measures to shape a robust and effective AI legislation in Uganda.
Establish a National Research and Innovative Fund on AI to effectively tap into and harvest the dividends that come with AI. This kind of funding requiring direct government intervention is informed by the reality that surrounds the high levels of uncertainty of outcomes in tech innovation.
Develop and implement a National Strategy for AI to enhance policy coordination and coherence and offer direction and guidance. This would encompass the national vision for AI in Uganda’s social and economic development, and guide all other initiatives on progressive AI regulation.
Develop and implement a National Citizenry Awareness and Public Education Programme on AI to better prepare citizens to engage with AI responsibly, ensure inclusion and advocate for ethical practices.
Apply human rights protective AI to influence the designing of AI systems with fairness, transparency, and accountability, and employ diverse and representative datasets to mitigate biases related to ethnicity, gender, and socioeconomic status.
Establish a mechanism that can enforce ethical use of AI by the various stakeholders, including through emphasising transparency and accountability in AI deployment.

Establish cyber security protocols to counter inherent vulnerability to cyber-attacks and other attendant digital security risks that come with AI.
Create a conducive atmosphere for citizenry platforms for AI engagements. These platforms can be conduits for encouraging best practices, and latest research information among other emerging issues on AI that could benefit the country. An AI ecosystem should thus favour and strategically support such inter-agency, inter-sector and public-private collaboration and formal linkages to also facilitate AI technology transfer from explorations, studies and innovation to actual application.

Read the full brief here.

20Nov

Introducing “Community Fakes”, A Crowdsourcing Platform to Combat AI-Generated Deepfakes

CIPESA November 20, 2024December 3, 2024

ADRF Grantee Update |

As the world enters the era of artificial intelligence, the rise of deepfakes and AI-generated media presents significant threats to the integrity of democratic processes, particularly in fragile democracies. These processes are vital for ensuring fairness, accountability, and citizen engagement.

When compromised, the foundational values of democracy—and society’s trust in its leaders and institutions—are at risk. Safeguarding democracy in the AI era requires vigilance, collaboration, and innovative solutions, such as building a database of verified AI manipulations to protect the truth and uphold free societies.

In the Global South, where political stability is often tenuous, the stakes are even higher. Elections can easily be influenced by mis/disinformation, now accessible at minimal cost and requiring little technical skill. Malicious actors can easily use these tools to create and amplify false content at scale. This risk is amplified in authoritarian regimes, where AI-generated mis/disinformation is increasingly weaponised to manipulate public opinion, undermine elections, or silence dissent. From fabricated videos of political figures to manipulated media, such regimes exploit advanced technologies to sow confusion and mistrust, further destabilising already fragile democracies.

Despite ongoing efforts by social media platforms and AI companies to develop detection tools, these solutions remain inadequate, particularly in culturally and linguistically diverse regions like the Global South. Detection algorithms often rely on patterns trained on Western datasets, which fail to account for local cultural cues, dialects, and subtleties. This gap allows deepfake creators to exploit these nuances, leaving communities vulnerable to disinformation, especially during critical events like elections.

Recognising the urgency of addressing these challenges, Threats developed Community Fakes, an incident database and central repository for researchers to submit, share, and analyse deepfakes and other AI-altered media. This platform enables collaboration, combining human insights with AI tools to create a robust defence against disinformation. By empowering users to identify, upload, and discuss suspect content, Community Fakes offers a comprehensive, adaptable approach to protecting the integrity of information.

The initiative was made possible through the CIPESA-run African Digital Rights Fund (ADRF), which supports innovative interventions to advance digital rights across Africa. The grant to Thraets for the project titled “Safeguarding African Elections—Mitigating the Risk of AI-Generated Mis/Disinformation to Preserve Democracy” aims to counter the increasing risks posed by AI-generated disinformation, which could jeopardise free and fair elections.

The project has conducted research on elections in Tunisia and Ghana, with the findings feeding into tutorials for journalists and fact-checkers on identifying and countering AI-generated electoral disinformation and awareness campaigns on the need for transparency on the capabilities of AI tools and their risks to democracy.

Additionally, the project held an Ideathon to generate novel ideas for combating AI-generated disinformation and developed the Spot the Fakes quiz, which gives users the opportunity to dive into the world of AI-generated synthetic media and how to distinguish between the authentic and the fake.

Community Fakes will crowdsource human intelligence to complement AI-based detection, thereby allowing users to leverage their unique insights to spot inconsistencies in AI-generated media that machines may overlook, while having conversations with other experts around the observed patterns. Users can submit suspected deepfakes to the platform, which the global community can then scrutinise, verify, and expose. According to Thraets, this approach ensures that even the most convincing deepfakes can be exposed before they can do irreparable harm.

Find a full outline of Community Fakes here.

11Mar

Towards Ethical AI Regulation in Africa

CIPESA March 11, 2024March 12, 2024

By Tusi Fokane |

The ubiquity of generative artificial intelligence (AI)-based applications across various sectors has led to debates on the most effective regulatory approach to encourage innovation whilst minimising risks. The benefits and potential of AI are evident in various industries ranging from financial and customer services to education, agriculture and healthcare. AI holds particular promise for developing countries to transform their societies and economies.

However, there are concerns that, without adequate regulatory safeguards, AI technologies could further exacerbate existing governance concerns around ethical deployment, privacy, algorithmic bias, workforce disruptions, transparency, and disinformation. Stakeholders have called for increased engagement and collaboration between policymakers, academia, and industry to develop legal and regulatory frameworks and standards for ethical AI adoption.

The Global North has taken a leading position in exploring various regulatory modalities. These range from risk-based or proportionate regulation as proposed by the European Commission’s AI Act. Countries such as Finland and Estonia have opted for a greater focus on maintaining trust and collaboration at national level by adopting a human-centric approach to AI. The United Kingdom (UK) has taken a “context-specific” approach, embedding AI regulation within existing regulatory institutions. Canada has prioritised bias and discrimination, whereas other jurisdictions such as France, Germany and Italy have opted for greater emphasis on transparency and accountability in developing AI regulation.

On the other hand, China has taken a more firm approach to AI regulation, distributing policy responsibility amongst existing standards bodies. The United States of America (USA) has adopted an incremental approach, introducing additional guidance to existing legislation and emphasising rights and safety.

Whilst there are divergent approaches to AI regulation, there is at least some agreement, at a muti-lateral level, on the need for a human-rights based approach to ensure ethical AI deployment which respects basic freedoms, fosters transparency and accountability, and promotes diversity and inclusivity through actionable policies and specific strategies.

Developments in AI regulation in Africa

Regulatory responses in Africa have been disparate, although the publication of the African Union Development Agency (AUDA-NEPAD) White Paper: Regulation and Responsible Adoption of AI for Africa Towards Achievement of AU Agenda 2063 is anticipated to introduce greater policy coherence. The White Paper follows the 2021 AI blueprint and the African Commission on Human and Peoples’ Rights Resolution 473, which calls for a human-rights-centred approach to AI governance.

The White Paper calls for a harmonised approach to AI adoption and underscores the importance of developing an enabling governance framework to “provide guidelines for implementation and also keep AI development in check for negative impacts.” Furthermore, the White Paper calls on member states to adopt national AI strategies that emphasise data safety, security and protection in an effort to promote the ethical use of AI.

The White Paper proposes a mixed regulatory and governance framework, depending on the AI use-case. First, the proposals encompass self-regulation, which would be enforced through sectoral codes of conduct, and which offer a degree of flexibility to match an evolving AI landscape. Second, the White Paper suggests the adoption of standards and certification to establish industry benchmarks. The third proposal is for a distinction between hard and soft regulation, depending on the identified potential for harm. Finally, the White Paper calls for AI regulatory sandboxes to allow for testing under regulatory supervision.

Figure 1: Ethical AI framework

However, there are still concerns that African countries are lagging behind in fostering AI innovation and putting in place the necessary regulatory framework. According to the 2023 Government AI Readiness Index, Benin, Mauritius, Rwanda, Senegal, and South Africa are ahead in government efforts around AI out of the 24 African countries assessed. The index measures a country’s progress against four pillars: government/strategy, data & infrastructure, technology sector, and global governance/international collaboration.

The national AI strategies of Mauritius, Rwanda, Egypt, Kenya, Senegal and Benin have a strong focus on infrastructure and economic development whilst also laying the foundation for AI regulation within their jurisdictions. For its part, Nigeria has adopted a more collaborative approach in co-creating its National Artificial Intelligence Strategy, with calls for input from AI researchers.

Thinking beyond technical AI regulation

Despite increasingly positive signs of AI adoption in Africa, there are concerns that the pace of AI regulation on the continent is too slow, and that it may not be fit for purpose for local and national conditions. Some analysts have warned against wholesale adoption of policies and strategies imported from the Global North, and which may fail to consider country-specific contexts.

Some Global South academics and civil society organisations have raised questions regarding the importation of regulatory standards from the Global North, some even referring to the practice as ‘data colonialism’. The apprehension of copy-pasting Global North standards is premised on the continent’s over-reliance on Big Tech digital ecosystems and infrastructure. Researchers indicate that “These context-sensitive issues raised on various continents can best be understood as a combination of social and technical systems. As AI systems make decisions about the present and future through classifying information and developing models from historical data, one of the main critiques of AI has been that these technologies reproduce or heighten existing inequalities involving gender, race, coloniality, class and citizenship.”

Other stakeholders caution against ‘AI neocolonialism’, which replicates Western conventions, often resulting in poor labour outcomes and stifling the potential for the development of local AI approaches.

Proposals for African solutions for AI deployment

There is undoubtedly a need for ethical and effective AI regulation in Africa. This calls for the development of strategies and a context-specific regulatory and legal foundation, and this has been occurring in various stages. African policy-makers should ensure a multi-stakeholder and collaborative approach to designing AI governance solutions in order to ensure ethical AI, which respects human rights, is transparent and inclusive. This becomes even more significant given the potential risks to AI during election season on the continent.
Beyond framing local regulatory solutions, stakeholders have called for African governments to play a greater role in global AI discussions to guard against regulatory blindspots that may emerge from importing purely Western approaches. Perhaps the strongest call is for African leaders to leverage expertise on the continent, and promote greater collaboration amongst African policymakers.

05Sep

CIPESA Joins International Initiative to Develop “AI Charter in Media”

CIPESA September 5, 2023September 5, 2023

By CIPESA Writer |

The Collaboration on International ICT Policy for East and Southern Africa (CIPESA) has joined a conglomeration of international organisations and experts to develop a charter aimed at guiding the use of Artificial Intelligence (AI) in the media.

According to Reporters Without Borders (RSJ), the group that is coordinating the development of the Charter, 16 partner organisations, as well as 31 media, AI and academic professionals representing 18 different nationalities, are involved in the process. The CIPESA Executive Director, Dr. Wairagala Wakabi, is among the experts on the committee that is led by journalist and Nobel Peace Prize laureate Maria Ressa.

The RSJ stated that the growing interest in the project highlights the real need to clearly and collaboratively develop an ethical framework to safeguard information integrity, at a time when generative AI and other algorithm-based technologies are being rapidly deployed in the news and information sphere.

Part of the committee’s responsibility is to develop a set of principles, rights, and obligations for information professionals regarding the use of AI-based systems, by the end of 2023. This is a response to the realisation that the rapid deployment of AI in the media industry presents a major threat to information integrity.

See here details about the initiative, the partner organisations and experts.

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