African AI: Digital Public Goods for Inclusive Development | IGF 2023 WS #317

9 Oct 2023 08:45h - 09:45h UTC

Event report

Speakers and Moderators

Speakers:
  • Susan Waweru, Government, African Group
  • Bobina Zulfa, Civil Society, African Group
  • Irura Mark, Intergovernmental Organization, African Group
Moderators:
  • Lilian Diana Awuor Wanzare, Government, African Group

Table of contents

Disclaimer: This is not an official record of the IGF session. The DiploAI system automatically generates these resources from the audiovisual recording. Resources are presented in their original format, as provided by the AI (e.g. including any spelling mistakes). The accuracy of these resources cannot be guaranteed. The official record of the session can be found on the IGF's official website.

Knowledge Graph of Debate

Session report

Audience

The analysis covers several important topics related to the development of AI and its impact on various aspects of society. One of the key points discussed is the significance of data infrastructure and access to compute for the democratization of AI. It is noted that the lack of proper data infrastructure can hinder the development and use of AI, especially in contexts like Africa or the global South.

Another point raised is the need to address challenges regarding data infrastructure and compute access. While no specific supporting facts are provided, this suggests that there are issues that need to be discussed and resolved to ensure that AI can be effectively utilized and its benefits can be accessible to all.

The analysis also touches upon the presence of AI policies and legislation in Kenya. The question raised is whether Kenya has a specific AI policy in place and corresponding legislation to operationalise it. Unfortunately, no supporting facts or evidence are presented to explore this question further.

Lastly, the analysis considers the topic of human-robot interaction, specifically focusing on how human workers should perceive and interact with robots. However, no supporting facts or arguments are provided to delve deeper into this topic.

In conclusion, the analysis raises important questions and topics related to data infrastructure, access to compute, AI policies and legislation, and human-robot interaction. However, it is worth highlighting that the lack of supporting facts or evidence limits the depth of analysis and leaves several open-ended questions.

Yilmaz Akkoyun

AI has the potential to significantly impact inclusive development and help achieve the Sustainable Development Goals (SDGs). It can play a crucial role in improving access to medical services and increasing efficiency in agriculture, which can contribute to the goals of good health and well-being (SDG 3) and zero hunger (SDG 2). AI applications can facilitate medical service delivery by assisting in diagnostics, monitoring patients’ health, and providing personalized treatment. In agriculture, AI can enhance productivity, optimize resource usage, and improve food security.

However, there are challenges associated with the access and negative effects of AI that disproportionately affect developing countries (SDG 10). Only a fraction of the global population currently has access to AI applications tailored to their specific needs. This digital divide reinforces existing inequalities and limits the potential benefits of AI for those who need it the most. Moreover, negative impacts of AI, such as job displacements and bias in decision-making algorithms, can exacerbate existing inequalities in developing countries.

Ethical considerations and the regulation of AI are also critical. Risks associated with AI range from high greenhouse gas emissions to digital disinformation and risks to civil and democratic rights (SDG 16). To ensure the responsible and fair development and use of AI, it is essential to promote ethical principles and practices. This includes addressing issues such as algorithmic bias, ensuring transparency and accountability, and safeguarding privacy and human rights.

In order to reduce inequalities and ensure diverse representation, it is important to have AI expertise and perspectives from various regions, including African countries (SDG 10). Africa has seen the emergence of various AI initiatives, and it is crucial to involve these initiatives in shaping the global conversation around AI. This will help ensure more equitable development and minimize the risk of marginalization.

The German Federal Ministry for Economic Cooperation and Development (BMZ) is committed to supporting the realization of AI’s potential through local innovation in partner countries (SDGs 8 and 9). The BMZ believes that digital public goods, such as open AI training datasets and research, are important enablers of economic and political participation. These measures can enhance economic growth and create opportunities for communities to harness AI for their specific needs.

Access to open AI training data and research, as well as open-source AI models, is considered foundational for local innovation (SDG 9). By sharing relevant data, AI models, and methods openly as digital public goods, a global exchange of AI innovations can be fostered, benefiting various regions and promoting cross-cultural collaboration.

In conclusion, AI holds tremendous potential for inclusive development and the achievement of SDGs. However, challenges of access, negative effects, and ethical concerns must be addressed. It is essential to ensure diverse representation, particularly from regions such as Africa, and promote ethical AI practices. Open access to AI training data and research is crucial for fostering local innovation and accelerating progress towards the SDGs. The African AI initiatives are inspiring and underscore the need for continued dialogue and learning about AI’s impact on development.

Zulfa Bobina

AI technologies, though viewed as an ideal as digital public goods, have not yet become a reality. They are described as more of a future aspiration rather than something that is currently achievable. However, there is optimism about the future growth of AI technologies and collaborations. More work is being done in the advocacy space, which is believed to lead to a more widespread adoption of AI technologies.

Civil society is seen as playing a vital role in addressing ethical considerations related to AI. It is believed that civil society can step in to address these concerns and ensure that AI technologies are developed and deployed ethically and responsibly. Efforts are being made to address these ethical concerns through research and advocacy.

There is a need for comprehensible communication regarding AI technologies. It is argued that explaining technologically complex concepts in simple language can help the general population understand and incorporate these technologies into their lives. The goal is to avoid elitism in technology comprehension and ensure that everyone has access to and understands AI technologies.

The often overlooked human workforce behind automated technologies is being highlighted and advocated for. It is recognized that automation and AI technologies can have a significant impact on the workforce. Therefore, efforts are being made to support and advocate for the rights of these workers to ensure fair treatment and protection in the face of technological advancements.

Harmonizing collective and individual rights is emphasized, particularly when it comes to data rights. It is argued that adopting western blueprints of data rights that focus solely on individual rights may not be suitable for African societies. There is a need for more balanced regulations that take into account both collective and individual rights.

Discussions around AI technologies as a public good are considered important. There are considerable discussions taking place, especially at events like the Kyoto summit. Furthermore, public interest in data and AI technologies is growing, highlighting the need for ongoing discussions and dialogue as technologies progress.

Overall, there is excitement about the various activities happening across the continent in the field of AI and technological developments. These advancements are seen as opportunities for growth and progress. While there are challenges and ethical considerations to address, there is an optimistic outlook for the future of AI technologies in Africa.

Darlington Akogo

Mino Health AI Labs, a leading healthcare technology company, has developed an advanced AI system that can interpret medical images and deliver results within seconds. This groundbreaking technology has received approval from FDA in Ghana and has attracted users from approximately 50 countries across the globe. By providing fast and accurate results in medical image interpretation, the AI system has the potential to significantly accelerate and streamline healthcare processes.

Although the benefits of AI applications in healthcare are evident, it is crucial to subject these systems to rigorous evaluation processes, especially in healthcare. Approval of AI systems by health regulators can be challenging and requires extensive testing to ensure their effectiveness, reliability, and safety. It is essential to distinguish between AI research or prototypes and their real-world implementations, as the latter demands meticulous scrutiny and validation.

Considering the perspective of users is another important aspect of AI implementation. Users should actively participate in determining the features and operations of AI systems, particularly in healthcare. This ensures that these systems seamlessly integrate into users’ workflow and effectively meet their specific needs. Their input provides valuable insights on optimizing the functionality and usability of AI solutions, ultimately enhancing their impact in healthcare.

Moreover, the concept of businesses being built around solving problems connected to the Sustainable Development Goals (SDGs) has gained prominence. Companies such as Mino Health align their business strategies with addressing issues related to healthcare access and food security, demonstrating a positive approach towards achieving the SDGs. By focusing on solving socially significant problems, businesses can contribute to broader societal goals and make a tangible difference in people’s lives.

To guide businesses in achieving a balance between profit and impact, the concept of an internal constitution has emerged. This moral code acts as a set of guidelines for the company’s operations and ensures that its decisions and actions align with its core values. In certain cases, even the CEO can be voted out if they deviate from the principles outlined in the internal constitution. This mechanism promotes a sense of ethical responsibility within the business and encourages a long-term view that prioritizes societal welfare alongside financial success.

Furthermore, businesses can be registered for public good, which implies an obligation to prioritize the public interest over the interests of shareholders and investors. This designation reinforces the idea that businesses should focus on the common good, aiming to create positive social impact rather than solely maximizing profits. By doing so, businesses can align their objectives with the well-being of communities and contribute to the achievement of the SDGs.

Artificial intelligence (AI) has tremendous potential in aiding the attainment of the SDGs. The ability of AI to process vast amounts of data and derive actionable insights can be instrumental in addressing complex societal challenges. Investing in AI can be a strategic approach to tackling the problems identified within the SDGs, as it enables the development of innovative solutions and the efficient allocation of resources.

However, while harnessing the power of AI is essential, it is equally important to exercise responsibility and adhere to ethical frameworks. The transformative nature of AI technology calls for careful consideration of its potential risks and impacts. Leveraging AI in a responsible manner involves issues such as bias, accountability, and privacy, among others. Operating within ethical boundaries is crucial to prevent the emergence of new problems that could arise from unchecked deployment of AI systems.

In summary, Mino Health AI Labs has made significant advancements in the field of healthcare through the development of their AI system for medical image interpretation. However, the successful implementation of AI in healthcare requires rigorous evaluation, active user involvement, and a focus on aligning business strategies with the SDGs. The concept of an internal constitution and the registration of businesses for public good provide mechanisms to guide companies towards balancing profit and societal impact. AI, if invested in responsibly, holds the potential to address the challenges addressed within the SDGs. At this pivotal juncture in history, there is a need to harness AI technology while ensuring its ethical and responsible use to avoid unforeseen consequences.

Meena Lysko

During the discussion on industry, innovation, infrastructure, and data privacy in South Africa, several important topics were addressed. One of the key points highlighted was the implementation of the Protection of Personal Information Act (POPI Act) and the Cyber Crimes Act. These acts were considered crucial for prioritising the safeguarding of personal information and for providing a legal framework to address various digital offences.

It was acknowledged that challenges arise in striking the balance between innovation and compliance in digital privacy. However, the speakers emphasised that the POPI Act and the Cyber Crimes Act play a vital role in ensuring responsible handling of data by organisations in South Africa.

Collaboration between businesses, individuals, and law enforcement agencies was emphasised as imperative in moving forward with the implementation of these acts. This collaboration is seen as a key factor in promoting the responsible use of personal information and in effectively addressing digital offences. The need for joint efforts in creating a secure and ethical digital environment was highlighted.

Another significant point discussed was the incorporation of ethics in the AI systems lifecycle. It was emphasised that ethics should be included from conception to production of AI systems. This includes the integration of a module on AI ethics and bias in training programmes. Ethical competence, which includes knowledge of laws and policies, was deemed necessary for individuals involved in AI development. Additionally, the need for an ethically tuned organisational environment was highlighted to ensure the responsible and ethical use of AI systems.

The importance of industry interaction in AI and data science training was also emphasised. The inclusion of industry experts in training sessions was seen as a means of facilitating knowledge sharing and promoting morally sound solutions. This collaboration between the training programmes and industry experts was found to be beneficial in keeping up with the latest trends and developments in the field.

The positive impact of training programmes on participants was highlighted with the assertion that these programmes support quality education, industry innovation, infrastructure development, zero hunger initiatives, and responsible consumption. The post-training feedback from previous programmes indicated that the training positively influenced the participants.

Lastly, the use of open AI systems was advocated as a means of contributing to sustainable digital development. It was noted that proprietary AI systems are generally used to make money, ensure security, empower technology, and simplify tasks. However, open AI systems were proposed as a more sustainable alternative for digital development.

In conclusion, the discussion highlighted the significance of the POPI Act and the Cyber Crimes Act in South Africa for ensuring personal data protection and addressing digital offences. Collaboration between businesses, individuals, and law enforcement agencies was deemed essential in moving forward with these acts. Ethics in AI systems development and the incorporation of industry interaction in training programmes were emphasised. The positive impact of training programmes on participants and the advocacy for the use of open AI systems in sustainable digital development were also discussed as important aspects of the conversation.

Susan Waweru

The Kenyan government has demonstrated a strong commitment to implementing and adhering to policies related to artificial intelligence (AI) and digital transformation. The Constitution of Kenya plays a significant role in guiding the development and use of AI. It includes provisions that emphasise transparency, accountability, and the protection of privacy rights. This indicates that the government recognises the fundamental importance of privacy in AI systems.

Moving beyond theoretical frameworks to actual implementation is a crucial step in the development of AI. The government understands the significance of leadership commitment in successfully executing plans. Without strong leadership support and commitment, the implementation and execution of policies become challenging.

The Kenyan government is actively pursuing digitisation and aims to develop an intelligent government. Key efforts in this direction include onboarding all government services onto eCitizen, a platform that provides online access to government services. The President himself is overseeing the Digital Transformation Agenda, highlighting the government’s high level of interest in digitisation. Currently, the government’s focus is on infrastructure development to support these digital initiatives.

Privacy and accessibility are two important principles emphasised in the development of digital public goods and AI technology. The government recognises that video surveillance mechanisms should respect privacy and not infringe on people’s freedoms. The Data Protection Act in Kenya primarily affects data controllers and processors, ensuring that personal data is handled with care and protects individual privacy.

To further support AI development, the Kenyan government is working towards separate legislation and strategies specifically for AI. This demonstrates a commitment to creating a comprehensive and focused approach to AI policy. The government is actively drafting AI legislation and has established a central working group to review and update tech-related legislations, policies, and strategies.

In line with their commitment to effective governance, the Kenyan government is developing an AI chatbot. This chatbot, using natural language processing with large datasets, is aimed at enhancing compliance and bringing government services closer to the people. It will be available 24/7, providing services in both English and Swahili.

Demystifying AI and promoting human-centred design are also important aspects. The government recognises that creating awareness and understanding among the public can enhance the adoption and reduce fear of AI. In addition, a focus on human-centred design ensures that AI development prioritises the needs of citizens over the benefits of organisations.

Finally, the benefits of AI, especially in public service delivery, are highlighted. The government acknowledges that AI has the potential to provide significant benefits to its citizens. The aim is to ensure that the advantages of AI technology outweigh any potential risks.

In conclusion, the Kenyan government has taken substantial steps towards implementing and adhering to AI and digital transformation policies. With a strong commitment to privacy, accessibility, and human-centred design, as well as efforts to develop separate AI legislation and strategies, the government is actively working to create a more inclusive and technologically advanced society. Through initiatives such as the AI chatbot and the digitisation agenda, the government aims to provide efficient and accessible services to its citizens.

Moderator – Mark Irura

During the discussion, several important topics related to healthcare and the implementation of digital solutions were discussed. Mark Irura emphasised the need for risk assessment and harm prevention when incorporating digital solutions. He highlighted the importance of evaluating potential risks and taking necessary precautions to protect individuals from physical, emotional, and psychological harm. Irura also stressed the importance of implementing data protection protocols to safeguard sensitive information and maintain citizens’ privacy.

The discussion also acknowledged the challenge of balancing business interests with Sustainable Development Goals (SDGs) and the integration of artificial intelligence (AI). It was recognised that business requirements and regulations may take precedence at times, making it difficult to align them with the objectives of sustainable development and the use of AI technologies. The speakers agreed that finding a harmonious balance between these different aspects is crucial to ensure the successful implementation of digital solutions that contribute positively to both business interests and the achievement of SDGs.

Mark Irura further emphasised the need for developing strategies that can effectively align business objectives, SDGs, and AI technologies. He inquired about the approach used to align these elements in addressing various challenges. This highlights the importance of creating a comprehensive framework and implementing strategies that consider all three components, providing a cohesive and integrated approach to problem-solving.

Overall, the speakers strongly emphasised the need for rigorous certification processes, active user involvement in decision-making processes, and robust data protection measures. These measures are crucial to mitigate risks and ensure the well-being of individuals when implementing digital solutions. The discussion conveyed the wider implications of the implementation process and the importance of responsible use of AI technologies in healthcare and other sectors.

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