
The philanthropy of Bill Gates must be approached with caution
This nearly trebles the foundation's average charitable outlay of about $3.4-billion each year since the Gates family got into philanthropy in 1994.
The increase is astounding in absolute dollar terms, but when adjusted for past and future inflation, the purchasing power of the expanded Gates largesse (supplemented by Warren Buffett's substantial billions) just about keeps pace with the real value of their original benefactions.
This is still the biggest philanthropic gift in modern history. But why is Mr Gates giving away 99% of his estimated $108-billion wealth?
A question of motive
Perhaps the philanthropist – once the world's richest man, but now in 13th position – suffers from the same anxiety as lesser persons: securing his legacy and being remembered kindly?
Or possibly, the 70-year-old is concerned for his soul as he enters the 'last chapter' of his undoubtedly brilliant career? Gates had a Catholic upbringing, but as befits a fiercely rational scientist, he is agnostic. Nevertheless, his reflection that 'to whom much is given, much is expected' suggests a spiritual base.
He is also fond of quoting Andrew Carnegie's Gospel of Wealth: 'The man who dies rich dies disgraced.'
The question of motivation is important in our age of suspicion where obvious goodness is not accepted at face value. Gates is the frequent target of outlandish conspiracy theories that say more about his detractors than about him.
What Bill Gates does matters to us
A more practical question concerns the implications flowing from his intent. Gates is entitled to do what he wants with his private wealth. But this libertarian licence is somewhat conditioned by the thought that the Microsoft co-founder amassed his fortune thanks to people like you and me buying his products and services – 345 million of us contributed $211-billion in revenue in 2023 alone, giving us a legitimate stake in Gates' affairs.
His philanthropic endeavours are also our business because of his outsized influence on public policy, particularly when this sways the choices nations make to affect the life chances of 44% of the world population. They are the world's poor (those living on less than $3.65 per day) living in 128 low- and middle-income nations.
However, to put this in perspective, the Gates Foundation's projected outlay of $9-billion a year is small change compared with the $294-billion needed annually to close the financing gap for the Sustainable Development Goals (SDG) among the 48 developing economies covering three-quarters of the global population.
Therefore, Gates' influence is not from money alone, but from how his powerful pulpit proselytises his heartfelt causes. This results in unease because of the distortionary consequences for country-level health and development.
A narrow approach
The causes dear to Mr Gates are: stopping preventable deaths among mothers and children; eliminating headline infectious diseases; and reducing poverty through education and agriculture.
These are worthy aims with compelling evidence, garnered not least through the Foundation's own massive research and innovation investment, that they are achievable by scaling up solutions derived from fast-moving scientific and technological advances, including artificial intelligence.
Mr Gates' humanitarian credentials are not in doubt. But his approach to tackling a problem 'because it is there' necessitates an all-consuming, laser-like focus on narrowly selected challenges, and lavishing vast sums of money via highly technocratic prescriptions. The venture capital method is problematic for several reasons.
It means de-prioritising other equally pressing needs and making highly contentious value judgements on the issues that are more or less worthy. We normally do that through debating the choices we want our governments to make, and holding them accountable, however imperfectly.
Private philanthropies are not held responsible in the same way, especially when their well-meaning interventions can shift at will or when they shut shop, as the Gates Foundation will do in 2045.
Questioning cost benefits
Could its legacy become an unsustainable burden for successor generations? Take, for example, the laudable Gates goal to eradicate wild polio that, after decades of successful global efforts, lurks only in Afghanistan and Pakistan.
These fragile states extract high marginal costs for allowing the last wild virus to be chased down. Whether that is achievable is conditioned by prevailing social and political circumstances.
So, how much is worth spending on eradication when existing strategies to protect the rest of the world through vaccination, surveillance and outbreak response could be more cost-effective? The counter-argument is that permanent polio eradication would save the world $40-50-billion. But is that sufficiently significant in a multi-trillion-dollar world?
Furthermore, would it be better for long-suffering Afghans and Pakistanis to switch their earmarked polio funds into broader health and social services that bring wider progress that eventually catalyses polio eradication at a lesser eventual cost? However, this could take longer than 2045. Understandably, Mr Gates is impatient while we wish him a long life.
Vertical focus on selected conditions
Comparable concerns are raised by verticalised strategies that capture large Gates resources for diseases such as malaria, measles and tuberculosis.
Inevitably, that skews multilateral health co-operation through boosting global funds such as for Aids, TB, malaria, and for vaccines. They also distort our global health institutions such as the World Health Organization, whose $6.8-billion budget for 2024-25 (before recent cuts) included a 10% ring-fenced allocation just for polio.
The Gates focus on maternal and child mortality raises further questions because the underlying causes are difficult to shift. Take South Sudan, with the world's most appalling maternal mortality rate of 1,223 per 100,000 births. Against the country's backdrop of conflict, displacement, poverty, misgovernance, disaster, climate change, absent infrastructure and absent trained personnel, the contribution of technical healthcare innovation is useful, but relatively marginal.
How much is therefore worth spending on maternal and child health alone while the all-ages crude death rate hovers above 1,190 per 100,000 population? If Mr Gates asks the people of South Sudan how to spend his money, what difficult choices would they make?
Bill Gates is highly methodical as befits a smart techbro. His lodestar is metrics, which means getting only what he measures, not more, such as reducing Aids deaths by two-thirds between 2000-2023, or now aiming to halve under-fives' mortality from five million in 2019.
A list of other conditions for statistically demonstrable demolition awaits.
Technocratic versus holistic paradigms
Reducing specific disease burdens helps, but does not equate to health. This is constitutionally defined by WHO as 'physical, mental and social wellbeing and not merely the absence of disease'.
The metrics for that are not precise and, therefore, less amenable to narrow technical fixes. Take, for example, addictive behaviours and cognitive disorders such as dementia, or making reproductive health choices. Obesity was, until recently, in the same category of complex aetiology. But now we have the GLP-1 agonists revolutionising weight loss, and there are promising new therapies for dementia.
Gates may yet be proved right with the invention of pills and jabs for all types of ailments. If enough resources are thrown at selected problems, some are bound to stick, but at huge opportunity costs for other important challenges.
Nevertheless, at least Bill Gates is fixated on saving present humanity here, while the world's richest man, Elon Musk, is investing heavily to send sizeable numbers of refugees from a doomed Earth to Mars by the 2040s, so as to keep the human genome alive.
Philanthropic influences on democratic policymaking
The Gates and Musk outlook brings into focus the technocratic versus holistic approach to life. The impact of the mega-rich on American policy in the Donald Trump era is a possible harbinger of similar influences on the world stage that may lead to comparable tectonic shifts for global health and development structures, approaches, and financing.
The consequences should concern us.
But there is a counter-reaction. Shifting geopolitics means that top-down solutions are no longer acceptable. That applies even for poor countries suffering from heavy budgetary cuts at the WHO and bilateral donors.
They may welcome more Gates support, but want the dignity of charting their own paths without constant hectoring on what is good for them. While that worked with the partially successful Millennium Development Goals, it is resented in the era of assertive nationalism, shrinking aid and failing Sustainable Development Goals.
A debatable legacy
Against this world mood, the Gates Foundation will face considerable headwinds despite, and perhaps because of, its supersized purse. Does it have strategies for that, or the flexibility to alter course, considering the straitjacket of its religion-like mission?
Perhaps the Gates legacy would be more likely to endure if his foundation listened more, preached less, and was open-minded to extend beyond its narrow silos. Otherwise, the risk is of countries left high and dry in two decades, as is happening now with donors walking away from previous commitments.
There are greater implications still of how supersized private charities end up directing our societies. Do citizens want that?
Large-scale philanthropy – however humanitarian-minded – is yet another ideology in our divided world. It is best imbibed in small doses under strict advice. DM
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IOL News
29-07-2025
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Deploying Artificial Intelligence to Achieve the UN Sustainable Development Goals: Enablers, Drivers and Strategic Framework
Professor Arthur G.O. Mutambara is the Director and Full Professor of the Institute for the Future of Knowledge (IFK) at the University of Johannesburg in South Africa. Image: Supplied The United Nations' Sustainable Development Goals (SDGs) are 17 interconnected goals designed to address the world's most pressing challenges by 2030. Adopted in 2015 as part of the 2030 Agenda for Sustainable Development, the SDGs cover a wide range of issues, including poverty eradication, quality education, gender equality, clean energy, climate action, and reduced inequalities. Each goal is supported by specific targets and indicators, providing a measurable framework for progress. The SDGs are universal, apply to all countries regardless of income level, emphasise the interconnectedness of global challenges, and thus require holistic solutions. 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For example, global poverty rates declined steadily before the COVID-19 pandemic, and millions gained access to basic services such as clean water and education. Nevertheless, intractable problems are prevalent. Climate change continues to accelerate, inequality is rising, and many environmental targets, such as biodiversity conservation, are lagging behind. The COVID-19 pandemic and geopolitical conflicts, such as the unnecessary and avoidable wars in Ukraine, Gaza, and Sudan, have further slowed progress by disrupting economies, increasing inequalities, and redirecting resources away from SDG initiatives. A significant barrier is inadequate funding. Achieving the SDGs requires trillions of dollars in investment annually, but many countries, especially low-income nations, lack the financial resources. Additionally, some regions' political instability, corruption, and poor governance hinder progress. The interconnected nature of the SDGs also means that failure in one area can impact others. For example, climate change exacerbates poverty and inequality, while conflicts and pandemics disrupt global efforts. Many countries' lack of data and monitoring capacity makes it challenging to track progress and identify effective solutions. The target date for attaining all 17 SDGs is 2030. It is a short five years away, yet according to the United Nations' 2024 SDG Report, only 17% of the SDG targets are currently on track to be achieved by 2030. Nearly half of the targets show minimal or moderate progress, while over a third are either stalled or regressing [132]. Video Player is loading. Play Video Play Unmute Current Time 0:00 / Duration -:- Loaded : 0% Stream Type LIVE Seek to live, currently behind live LIVE Remaining Time - 0:00 This is a modal window. Beginning of dialog window. Escape will cancel and close the window. Text Color White Black Red Green Blue Yellow Magenta Cyan Transparency Opaque Semi-Transparent Background Color Black White Red Green Blue Yellow Magenta Cyan Transparency Opaque Semi-Transparent Transparent Window Color Black White Red Green Blue Yellow Magenta Cyan Transparency Transparent Semi-Transparent Opaque Font Size 50% 75% 100% 125% 150% 175% 200% 300% 400% Text Edge Style None Raised Depressed Uniform Dropshadow Font Family Proportional Sans-Serif Monospace Sans-Serif Proportional Serif Monospace Serif Casual Script Small Caps Reset restore all settings to the default values Done Close Modal Dialog End of dialog window. Advertisement Next Stay Close ✕ Ad loading Professor Arthur Mutambara's book "Artificial Intelligence: A Driver of Inclusive Development and Shared Prosperity for the Global South." Image: Supplied Indeed, the SDG agenda is characterised by an existential global crisis. So, what should be done? This book seeks to contribute to the resolution of this predicament. It aims to provide solutions to the challenges that have impeded the achievement of the SDGs by exploring broad and holistic interventions, technology-driven remedies, and, more specifically, the deployment of AI—the implementation of human intelligence in machines or systems programmed to perform tasks such as learning, reasoning, problem-solving, and decision-making. It is instructive to note that AI is just one tool. It is not a silver bullet. Achieving the SDGs by 2030 will require broader efforts and solutions than the use of AI systems. Attaining the SDGs will depend on enhanced global cooperation, increased funding, improved infrastructure, and economic integration. Innovative solutions, such as leveraging technology and enhancing public-private partnerships, will be essential. The book proposes the acceleration of SDG progress by prioritising SDG implementation through stronger political commitment, integrated policies, and increased investment. There is a need to strengthen governance and policy frameworks. This ensures that resources are allocated efficiently, corruption is minimised, and accountability is upheld in implementing development programmes. Strong institutions, transparent decision-making, and inclusive policymaking are essential to ensure that progress towards the SDGs benefits everyone, particularly marginalised and vulnerable populations. Countries must align their national strategies, policies, and budgets with SDGs, devising long-term plans to address interconnected challenges while ensuring inclusive and equitable policies. This includes enacting laws and regulations that promote equity, sustainability, and environmental conservation. Governments must introduce incentives for renewable energy adoption, enforce labour laws to reduce inequalities, and enhance land-use planning to protect biodiversity. There is a need to adopt innovations such as renewable energy for climate action and digital tools for education and healthcare. SDG progress can be driven by improving human capital through investments in education, healthcare, and social protection systems. Increasing funding for vocational training and public health campaigns can empower communities to address SDG-related challenges such as unemployment and public health crises. International organisations, such as the United Nations and World Bank, must continue to support capacity-building and financial assistance for low-income countries. Achieving the SDGs requires bridging gaps between emerging or least industrialised economies and highly industrialised ones. There must be collaboration within the Global South and partnerships between the Global North and Global South. Global challenges like climate change, pandemics, and economic inequality require coordinated international efforts. Enhancing international cooperation and financing mechanisms is foundational to addressing funding gaps and sharing knowledge and resources for SDG implementation. Highly industrialised countries must honour commitments to provide financial aid and technical support to emerging and least industrialised economies, mainly through mechanisms such as the Green Climate Fund and the Global Partnership for Education. There is a need to develop innovative climate financing models, including those based on carbon pricing such as carbon taxes, cap-and-trade systems, carbon markets, and green bonds. Fostering public-private partnerships can unlock investments in sustainable infrastructure, renewable energy, and other critical sectors. International trade policies should also be reformed to ensure fair market access for low-income countries. Strengthening multilateral institutions like the United Nations and World Bank is essential to coordinating global efforts, reducing systemic inequalities, and accelerating progress towards achieving the SDGs. The arduous SDG journey towards 2030 will rise or fall on leadership. There is a need for visionary leadership at organisational, national, regional, continental, and global levels—characterised by the ability to create and articulate a clear, compelling future vision that inspires and motivates others to achieve the shared SDGs. It is essential for those driving the SDG agenda to have a unique blend of foresight, passion, and innovation, enabling them to see beyond the current reality and anticipate future trends and challenges. All this must be anchored by our shared common humanity and global interests, not narrow national, sectarian, or hegemonic interests. Unfortunately, events in the United States in early 2025 have signalled a shift from global collective leadership to isolationist, national interest-driven paradigms. US President Donald Trump signed executive orders to withdraw the United States from the Paris Agreement, the World Health Organisation, the UN Human Rights Council, and the United Nations Relief and Works Agency. He is also reviewing the country's role in the United Nations Educational, Scientific and Cultural Organisation and has moved to dismantle the United States Agency for International Development. Achieving the SDGs in 2030 demands a different type of global leadership. Technology (not necessarily Artificial Intelligence (AI)) is pivotal in advancing the SDGs by providing innovative solutions to global challenges. For instance, renewable energy technologies like solar panels, wind turbines, and hydropower systems are critical for achieving affordable and clean energy and combatting climate change. Similarly, advancements in water purification and sanitation systems directly address water and sanitation by ensuring access to safe drinking water and reducing waterborne diseases. Medical technologies, such as vaccines, portable diagnostic kits, and telemedicine platforms, are instrumental in advancing good health and well-being by improving healthcare access and disease prevention. Desalination plants, water filtration systems, and wastewater recycling have significantly improved water security in arid and drought-prone regions. Drip irrigation schemes, bioengineered crops, and precision farming tools are transforming food production systems and reducing hunger. Emerging and least industrialised economies must move up the global value chains by implementing beneficiation and value addition. These two processes enhance the economic value of raw materials through local processing and manufacturing, generating higher revenues, creating jobs, and igniting sustainable development through the attainment of the SDGs. The most significant contribution of this book is the use of AI to accelerate progress towards achieving the SDGs. Artificial Intelligence—the development of computer systems that can perform tasks typically requiring human intelligence, such as visual perception, speech recognition, decision-making, and language translation—is briefly introduced, and its unprecedented transformative nature is explained. The AI revolution is here. There were bold announcements on AI and its infrastructure in January 2025 from global leaders, such as UK Prime Minister Keir Starmer, then US President Joe Biden, and current US President Donald (immediately after his inauguration). Artificial Intelligence has become a key driver of competitiveness in every sector, and countries are unleashing massive investments in AI infrastructure. China's release, in the same month, of a ground-breaking open-source, low-cost, and less energy-intensive large language model called DeepSeek-R1, whose functionality is comparable to US offerings such as OpenAI's ChatGPT-4, Google's Gemini, and xAI's Grok 4, dramatises the equal-opportunity nature of the technology. AI systems have the potential to provide innovative solutions to complex global challenges that impede the attainment of SDGs worldwide. For instance, AI-driven data analysis and predictive modelling can enhance decision-making processes across multiple SDG targets. In agriculture, AI systems can optimise crop yields by analysing weather patterns, soil quality, and pest activity, supporting the fight against hunger. These systems can guide farmers on when and where to plant crops, helping to reduce resource waste and adapt to climate-induced agricultural challenges. Similarly, AI-powered tools in supply chain management can minimise food loss and waste, ensuring that resources are used efficiently and equitably. AI also plays a critical role in improving healthcare systems, contributing to good health and well-being. Machine Learning algorithms are used to detect diseases early, predict outbreaks, and personalise treatment plans based on patient data. For example, AI applications in medical imaging have proven highly accurate in diagnosing conditions like cancer and cardiovascular diseases. In addition, AI-driven tools enable the analysis of large-scale epidemiological data to predict the spread of infectious diseases, allowing governments to implement timely interventions. During the COVID-19 pandemic, AI was leveraged to track the virus's progression, develop vaccines, and optimise healthcare delivery in overburdened systems. Furthermore, AI can advance climate crisis mitigation by supporting climate modelling and environmental monitoring. AI-powered tools can analyse satellite imagery to monitor deforestation, track changes in land use, and measure carbon emissions. These insights help policymakers implement targeted conservation efforts and design effective climate adaptation strategies. Additionally, AI can optimise energy use by managing power grids, improving energy storage, and integrating renewable energy sources like wind and solar into the grid. By reducing energy waste and emissions, AI technologies contribute to the global transition towards a low-carbon economy. For quality education, AI-powered adaptive learning platforms provide personalised education tailored to individual learning styles and needs, making quality education accessible to marginalised communities. AI also supports gender equality by identifying and addressing systemic biases in hiring processes and enabling women entrepreneurs to access financial services through AI-based credit scoring. Moreover, AI-driven financial inclusion initiatives, such as mobile banking and digital payment systems, empower underserved populations, advancing decent work and economic growth. By deploying AI thoughtfully and equitably, governments and organisations can harness its transformative power to address global inequalities and achieve the SDGs. The book addresses AI safety, regulation, legislation, governance, risk mitigation, and carbon footprint while reviewing the AI semiconductor industry. It also assesses AI's potential negative impact on the SDGs and examines the challenges of AI deployment. It emphasises aligning all national, regional, or continental plans with the AI-enabled SDG agenda. Summaries of AI-for-SDG experiences from six countries are outlined, and emerging best practices are harvested. Details of enablers of AI deployment for SDGs are proposed and discussed—robust digital infrastructure and connectivity; awareness, education, and capacity building; regulations and ethical governance and accountability; guardrails; high-quality local data; financial resources and investment; beneficiation and value addition; research and development; and an accountable, capable, ethical developmental state. Similarly, critical mutually reinforcing drivers are presented: process efficiency and effectiveness; innovation and technological advancements; scalability and replicability; data-driven decision-making; addressing complex challenges; inclusivity and accessibility; partnerships and collaboration; private sector engagement; and policy support, governance frameworks, and global commitment. Furthermore, it is essential to develop an AI ecosystem; embrace AI users' voices and insights; champion participatory approaches to AI design and deployment; incorporate diverse perspectives; and adopt feedback and iterative improvement mechanisms. There is efficacy in leveraging AI-enabled leapfrogging for SDGs, where emerging and least industrialised countries can bypass traditional stages of technological evolution and move directly to more advanced cutting-edge AI solutions. It is essential to embrace decoloniality in AI—a theoretical and practical framework aimed at dismantling the structures, knowledge systems, and power dynamics established during and after colonial rule, and likely to influence the essence and content of AI systems. In the same vein, it is imperative to democratise AI—making AI technologies, tools, knowledge, and opportunities accessible to a broader range of people, communities, and organisations beyond a privileged few. Global governance for AI is vital. The key recommendations of the UN Secretary-General's 2024 AI Advisory Final Report are discussed. The strengths and flaws of this report are presented and explained. The principles of AI regulation/legislation and AI risk verticals are presented, while exemplary cases of AI legislation, such as the 2024 European Union AI Act, are reviewed, drawing lessons for other jurisdictions. However, the limitations of regulations and legislation as AI management tools are articulated, while the sociology of AI policy and adoption is also investigated. While the book emphasises the need to embrace a broad range of enabling technologies, with a special focus on AI, it acknowledges the risks of technology-driven challenges such as digital imperialism and data colonialism, particularly in emerging and least industrialised economies. An incisive and robust case is made for decoloniality in AI on the SDG journey—a theoretical and practical framework aimed at dismantling the structures, knowledge systems, and power dynamics established during and after colonial rule and likely to influence the essence and content of AI systems. Furthermore, the book puts a premium on democratising AI in pursuit of the SDGs— making AI technologies, tools, knowledge, and opportunities accessible to a broader range of people, communities, organisations, countries, and beyond a privileged few individuals, institutions, and economies. A key contribution of the book to AI adoption and thought leadership is the Strategic Framework for AI Deployment, which has six distinct but related components: Vision, Strategy, Policy, Governance, Legislation/Regulations, and Implementation Matrix (inclusive of Monitoring, Measurement, Evaluation and Feedback). In pursuit of the SDGs, every continent, regional bloc of states, country, organisation, or community must develop and adopt such a framework, where these structures dynamically influence each other. Within this context, the role of both regional and continental integration and political unity is articulated. The African Union's 2024 Continental AI Strategy is reviewed. Its strengths and weaknesses are discussed. The book provides details on deploying AI to achieve all 17 SDGs. Each goal is examined, its challenges are assessed, and detailed proposals for AI interventions to facilitate attainment are posited. AI adoption challenges and ethical considerations specific to the goal are discussed, and policy recommendations are proffered. The potential future envisioned in the 2030 SDG agenda—a world free from poverty, hunger, and environmental degradation—is slowly becoming elusive, if not illusory. That desired future— complete attainment of the SDGs—is not inevitable. It is contingent on immediate and transformative action. Political and business leaders, policymakers, academics, civil society activists, and ordinary citizens must reignite momentum towards the SDGs, ensuring that 2030 becomes a milestone of achievement rather than a moment of regret. Global cooperation, regional/continental integration, moving up global value chains, inclusive economic transformation, addressing the climate crisis, and use of advanced technology (in particular AI) can play a significant role in the arduous journey to 2030. Of course, there is the danger that AI will widen global inequality. Left unchecked, AI can intensify global disparities by consolidating power and wealth in affluent nations while exploiting labour and resources in emerging and least industrialised countries. There is a real possibility that AI will entrench existing inequities, leading to heightened political instability, environmental degradation, and cultural dominance by a select few. This book seeks to mitigate these challenges. AI must serve as a transformative force for the collective good, benefiting the entire planet and all its inhabitants in an equitable manner. Harnessing this transformative technology to advance the SDGs in every country offers a strategic and practical starting point. The UN Secretary-General, António Guterres, is right: 'We must never allow AI to stand for advancing inequality.' This is an excerpt from the book "Artificial Intelligence: A Driver of Inclusive Development and Shared Prosperity for the Global South." * Professor Arthur G.O. Mutambara is the Director and Full Professor of the Institute for the Future of Knowledge (IFK) at the University of Johannesburg in South Africa. ** The views expressed do not necessarily reflect the views of IOL or Independent Media.