Tag: Artificial Intelligence (AI)

  • AI confab to boost food security coming

    AI confab to boost food security coming

    A significant focus on how Artificial Intelligence (AI) can revolutionise food production and fuel entrepreneurial growth across Africa will take centre stage at the second edition of the DeepTech Summit (DTS), hosted by University Mohammed VI Polytechnic (UM6P) in Benguerir, Morocco, on May 8–9, 2025. Under the theme, “Redefining Progress: How AI is Transforming DeepTech Innovation,” the summit directly addresses pressing needs within the Nigerian and broader African context, particularly concerning food security and the expansion of innovative ventures.

    The Director of Entrepreneurship and Venturing at UM6P and Chief Executive, UM6P Ventures, Yassine Laghzioui, underscored the summit’s relevance to the current African landscape: “This second edition captures a key moment, where Artificial Intelligence is reshaping the landscape of DeepTech, from the lab to the value chain.“

    It’s a call to connect technological breakthroughs with real-world challenges, with Africa as a living lab of innovation.”

    For Nigeria, a nation grappling with food security challenges, the summit’s emphasis on AI-powered DeepTech in agriculture offers a beacon of hope.

    The discussions on precision agriculture, where AI-driven tools optimize resource management, improve crop yields, and promote sustainable farming, hold immense potential for transforming Nigeria’s agricultural sector. By leveraging AI for critical tasks such as soil analysis, accurate weather predictions crucial for planting seasons, and effective pest control, Nigeria can significantly enhance its food production capabilities, reduce reliance on imports, and create vital economic opportunities for its agricultural communities.

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    Beyond food security, Laghzioui sees  the Summit  catalysing  entrepreneurial growth across the African continent, including Nigeria’s burgeoning tech ecosystem. The summit,according to him,  will actively explore how AI can drive industrialisation through automation, optimised supply chains, predictive maintenance, and the development of smart manufacturing processes. During the summit, stakeholders will discuss  how to empower Moroccan, Nigerian and  other African entrepreneurs to build competitive, high-value businesses and generate much-needed employment.

    A  statement said  DTS will feature tailored instruments designed to accelerate DeepTech startups. Nigerian and other African innovators will benefit from pitch sessions, curated matchmaking activities connecting them with venture capitalists and corporate funds, and direct engagement with academic and institutional partners. Part of the summit is the  newly introduced DTS Prize which will  further spotlight groundbreaking startups on the continent , including those emerging from Nigeria, leveraging advanced technologies in sectors  such as healthcare and renewable energy, with specific recognition for initiatives originating from African ecosystems.

    By convening researchers, entrepreneurs (including those from Nigeria), investors, and policymakers, the 2025 DeepTech Summit at UM6P aims to unlock the transformative power of AI-driven DeepTech to not only enhance food production in nations such as Nigeria but also to spur widespread industrialisation and foster a thriving ecosystem for African entrepreneurship, ultimately leading to significant job creation and economic prosperity across the continent.

  • Experts call for responsible AI adoption

    Experts call for responsible AI adoption

    Experts have called for responsible adoption of artificial intelligence (AI) as a management tool for corporate governance and sustainability.

    Experts, who spoke at the 2025 Company Secretaries and Registrars Forum organised by the Institute of Chartered Secretaries and Administrators of Nigeria (ICSAN), emphasised the need to integrate AI into governance while ensuring compliance with ethical issues.

    At the forum were experts in governance, finance, and technology including Head, Communications and Partnerships, Nigerian Exchange Group (NGX Group) Plc, Mr. Clifford Akpolo; Data Engineering Lead, KPMG Africa, Mr. Christopher Ogirri; President, Institute of Chartered Secretaries and Administrators of Nigeria (ICSAN), Mrs. Funmi Ekundayo; Managing Partner, Caleb Consulting Uganda Ltd, Mr. Bamidele Oseni and Company Secretary, United Capital Plc, Dr Leo Okafor among others.

    Panelists explored AI’s impact on ESG reporting, regulatory compliance, and market surveillance.

    Stakeholders at the forum projected AI’s role in predictive compliance for proactive risk management, AI-powered ESG tracking for real-time sustainability reporting, and carbon footprint monitoring to support corporate environmental goals.

    The ICSAN 2025 Forum reinforced the need for businesses to embrace AI-driven governance models while prioritizing transparency, ethics, and regulatory compliance for sustainable growth.

    Speaking at the panel discussion themed “Enhancing the AI Mindset in Delivering Sustainability Principles on Data Management and Governance,” Akpolo highlighted AI’s transformative role in data governance, ESG reporting, and compliance frameworks.

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    “AI is a strategic partner in governance. It enables real-time decision-making, enhances transparency, and ensures sustainable business practices. Organisations must embed AI-driven governance into their corporate DNA,” said.

    Akpolo noted that AI-driven governance frameworks would soon become the norm, helping organizations mitigate risks. However, challenges such as cultural resistance, data integrity issues, and leadership buy-in remain.

    According to him, for AI to drive sustainability, businesses must prioritize employee upskilling, cross-functional collaboration, and AI-first policies that align with corporate strategy.

    He pointed out AI’s potential in improving transparency and efficiency within Nigeria’s capital market, noting that AI-powered platforms could enhance market surveillance, reduce transaction costs, and provide personalized financial insights.

    “AI will redefine governance in capital markets by automating compliance processes and detecting irregularities early,” Akpolo said.

    He urged organisations to assess AI readiness and pilot small-scale AI projects for seamless integration into governance structures.

    “AI is shaping the future of governance and sustainability. Companies that adopt it responsibly will lead, while others risk falling behind,” Akpolo said.

    Delivering the keynote address, Ogirri emphasised that company secretaries and registrars play a vital role in ensuring compliance as AI adoption grows. He noted that ESG reporting would become mandatory in Nigeria by 2028, following the Financial Reporting Council’s Adoption Readiness Roadmap.

    Ekundayo stressed the need to integrate AI into governance while ensuring ethical and secure usage.

    Said she: “Developing the right AI mindset is crucial for optimal corporate governance”.

    Oseni stressed the need for governance professionals to adopt compliance software and blockchain technology.

    According to him, AI users must prioritize risk management, cybersecurity, and human oversight to ensure responsible AI use.

    Okafor advocated for ethical AI committees to ensure accountability and compliance.

  • As AU plans AI deployment for peace, development

    As AU plans AI deployment for peace, development

    As the African Union (AU) commissioned its Artificial Intelligence (AI) Strategy around July last year (2024), and with the setup of an AU Advisory Group on AI by the AU Peace and Security Council also in June last year, it appears Africa is yet again playing catch-up. But, as the saying goes, “it’s better late than never”. The Continental Artificial Intelligence Strategy for Africa is properly crafted and implemented, and it will catalyze the transformation of Africa in the short to midterm and the achievement of the Africa Agenda 2063 and the Sustainable Development Goals (SDGs). Some of the key focus areas for the delivery of this project include entrenchment of democratic values, principles, and practices in politics; achievement of a capable institutional framework for leadership to be in place; achievement of peace, security, and stability for Africa, and more.

     How ready is Africa?

    To understand where we are in the global paradigm of AI, recall that about 3 months ago (in January 2025), when President Donald Trump was sworn in, within 24 hours, President Trump had secured over 500 billion US Dollars for AI infrastructure development in the United States of America. two days ago, during the biggest annual legislative strategy session for China, chaired by President Xi Jinping, to craft the 2025 strategy, the meeting deliberated extensively on AI and big data as one of the key policy directions. This will be China’s 15th five-year strategic blueprint (you can imagine how far they have come on AI). India has already done its own AI strategy since around 2018. So, this is where forward-thinking Countries are in terms of the conceptualization of the AI strategy, implementation, and impacts relative to where we are in Africa.

     The Continental AI strategy for Africa has a 5 years implementation plan. But suffice it to say that some of the critical priority areas that must be addressed before the AI strategy can work include critical infrastructure, the political structures across the continent, and the political will of African leaders. The rhetorical question is, “Do we have the political structures and the governance framework that will enable achievement of those strategic visions and objectives at a time when fragmentation is the order of the day across the world?”.  Specifically, in the case of Africa, there are conflicts across the Sahel, in Eastern Africa, specifically in the Democratic Republic of Congo (DRC), Sudan, and South Sudan. We are witnessing the fragmentation of ECOWAS with the latest development in Guinea-Bissau, where President Umaru Sissoco Embalo, is threatening to pull out of the Economic Community of West African States (ECOWAS). There has to be a unified approach to the AI strategy. It should be aligned to individual and continental aspirations or initiatives. Consequently, we have a lot of work to do in Africa. More importantly, it is how the leaders of the countries of Africa will ultimately harness AI to deliver good governance to the over 1.2 billion citizens of the continent, whereas we have issues of getting leaders of most Countries to practice real democracy or apply a good governance framework to the betterment of their citizens. Over 60 years or less since independence, the majority of African Countries are still grappling with the provision of basic amenities like clean drinking water, steady electricity, education, security, free, fair, and credible elections, etc. Therefore, while the AI Strategy is a welcome development, it is important for us to note that the foundations and building blocks of our Countries and Continent are fundamental to the success of the Continental AI Strategy.

     There is a governance and regulatory framework in place for the execution of the AI strategy. How the respective countries key their strategy into the overarching continental strategy is the first step in the right direction. And how they are able to address the concerns of ethics and regulation of AI, especially when we already have the critical infrastructural deficit, and data integrity is very important. This is because the crucial data that will be used to populate the framework of AI are actually data that Africa mostly relies on the West or the Far East to give us, to leverage. Generating our own homegrown crucial and credible data that is very important; because in Africa, we put more “face value” on our data rather than looking at our realities and using the real critical data, and that is where and why we mostly lean on the data that are coming from countries or continents that may not like the data to be in line with our current realities for their own strategic objectives.

     Interestingly, Nigeria already has a national artificial intelligence strategy that was formulated by the National Information Technology Development Agency (NITDA) and domiciled in one of its Special Purpose Vehicles (SPVs) – the National Center for Artificial Intelligence and Robotics (NCAIR). South Africa, Egypt, Kenya, Ghana, and some other Countries in Africa have crafted or are crafting their AI strategies and policies. 2025 to 2026 is the timeline for all the Countries in Africa to craft their AI strategy as part of “phase-1” of the implementation plan of the Africa continental AI strategy.

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     Critical infrastructure Deficit must be addressed

    AI has come to stay. However, while we are plugging into AI, is energy/ electricity supply available, steady, or sustainable in the majority of African Countries? Critical Infrastructure deficit is a reality. Therefore, do all Countries in Africa have a national development strategy that has links or interlinks with these critical pillars for success? Infrastructure, in terms of energy, intermodal transportation, and even the bedrock of data for telecommunications (which are linked to energy as well), is fundamental. Thus, the dependencies and interdependencies are crucial to achieving the strategic national and continental AI objectives.

     Furthermore, Countries must achieve “policy coherence” in their public sector for them to achieve these seemingly disparate but relational sectors like technology, energy, digital economy, logistics and supply chains, etc. That being said, we need to face that reality and prepare for it because if we don’t prepare for the impacts of AI (positives and negatives), the negative consequences will be more devastating if we allow AI to evolve without Africa catching up fast.

     Human Capital Development

    Serious investments in human capital development, especially the youth who are the ones actually driving the tech and private sectors in China and the US. The youth of Africa are the ones who will scale new heights and push the boundaries of new frontiers.

    Public Service Culture and Political Will

    A point to note is that AI will not change our political system or corporate culture as African countries or Africa as a continent. It is our intentions that will drive the change that will bring peace and development, which technology and AI will enable. This is because the AI, robots, and technology are programmed to do exactly what we want them to do.

    Accordingly, the leaders of Africa should recognise that they have a role to play. Because AI is virtual reality. We need the human beings who are leading these countries to do the right things before we can safely, efficiently, and effectively deploy AI. With regard to how AI can be harnessed to achieve regional or continental security and peace, it is very important for us to understand that the technology is moving fast in terms of reconnaissance and surveillance, remote sensing, etc. Therefore, countries must build the capacities, competencies, and willpower to be proactive against risks and threats like terrorists so that they can be able to successfully react to risks and threats. Otherwise, AI will be just a buzzword in Africa. 

     Meanwhile, we should not lose sight of where we are in terms of our realities. For example, we are faced with heightening insecurity and conflicts across the continent. How have we leveraged the existing technologies to proactively quell potential crises or risks rather than allowing them to happen? As it is today, most national databases of countries across Africa are not up to par or synchronized across the board and effectively utilized for national security and development. This is worrisome considering the fact that the criminals, terrorists, and enemies are fully and effectively deploying technology in terms of communication, drones, deep fake AI, etc. Indeed, they are moving in tandem with the evolution of technology, and this makes them more formidable, as African countries are lagging behind. The risks and threats in Africa are escalating beyond any other region in the world.

    There must be Peace for Development to happen

    There must be peace before growth and development can happen. There must be stability in terms of the socio-economic well-being of our citizens across the countries in the continent for us to achieve the AI vision and objectives. Look at what is happening in Sudan, South Sudan, and DRC, for example, or in other parts of Africa. Even where there are no wars or battles, the socioeconomic headwinds in those countries MUST be addressed as part of the respective national and continental AI strategies because they are consequential to the achievement of the AI vision.

     Ethics and Regulation.

    The ethical and regulation issues of AI is a global concern. Nonetheless, with the ongoing international efforts to address the issues ethical and regulatory issues, I hope that it will be addressed on the continental and global platforms.

  • Artificial Intelligence in IT -Bridging Innovation and Opportunity in Africa

    Artificial Intelligence in IT -Bridging Innovation and Opportunity in Africa

    By Olusoji Adeyemo

    Artificial intelligence (AI) has evolved from a futuristic concept into a force reshaping industries globally, including here in Nigeria and across Africa. Once the domain of advanced economies, AI is now paving its way into diverse markets, showing its potential to drive progress in sectors ranging from agriculture to healthcare and finance.

    For many, particularly those without technical expertise, the idea of AI can still seem abstract. But its applications—and opportunities—are not just confined to IT professionals. They are relevant and transformative for everyone, including in our local contexts.

    At its core, AI involves machines mimicking human intelligence to perform tasks such as understanding language, recognizing images, or making decisions. In Nigeria, one of the most significant impacts of AI can be seen in the fintech sector. Digital lending platforms like Carbon or FairMoney leverage AI algorithms to assess creditworthiness, granting loans to individuals without traditional credit histories. Similarly, mobile payment systems use AI to detect fraudulent transactions, keeping users’ funds secure. These tools are reshaping access to financial services for millions of unbanked and underbanked Nigerians.

    Agriculture is another industry where AI is making a difference, not only in Nigeria but across the African continent. In countries where agriculture is the backbone of the economy, AI tools are helping farmers improve productivity. For instance, AI-powered drones and sensors monitor crop health and soil conditions, enabling better decision-making. Platforms like Hello Tractor, often referred to as the “Uber for tractors,” use AI to connect farmers with tractor services, optimizing farming operations and increasing yields. Such innovations address food security concerns and support rural economies.

    The healthcare sector is also reaping the benefits of AI, particularly in regions with limited medical resources. In Nigeria, AI-driven tools are being used to diagnose diseases like malaria and tuberculosis with greater accuracy. Chatbots like Ubenwa analyze infants’ cries to detect signs of birth asphyxia, a leading cause of neonatal deaths. These applications are life-saving, especially in rural areas where access to specialist doctors is scarce. Across Africa, initiatives like Zipline use AI-guided drones to deliver medical supplies to remote locations, further enhancing healthcare accessibility.

    AI’s role in education is another critical area of impact. In a continent with high levels of school-age population and limited teacher availability, AI-powered platforms are helping to bridge gaps. Digital learning tools and virtual tutors personalize education, offering students tailored support and enabling self-paced learning. For example, Nigerian edtech platforms like uLesson are already leveraging AI to make quality education more accessible, even in underserved communities.

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    While the potential benefits of AI in Africa are immense, challenges remain, particularly when it comes to infrastructure and awareness. Many Nigerians, and indeed Africans at large, may view AI as a distant technology meant for Silicon Valley or Beijing. But the reality is that AI can solve local problems in ways that are deeply relevant. For example, AI is used in applications to predict flooding in Nigeria’s river basins, helping communities prepare for natural disasters.

    However, the success of these solutions depends on improving internet penetration, electricity supply, and digital literacy across the continent.

    Ethical considerations are also crucial. As we embrace AI, we must ask: Who controls the data? In a market like Nigeria, where data privacy concerns are growing, it’s essential that AI systems are developed responsibly. This includes ensuring that algorithms don’t inadvertently favour one demographic over another or deepen social inequalities. Additionally, there’s the question of job displacement. While automation can free up workers from repetitive tasks, it also calls for reskilling and preparing the workforce for jobs in an AI-driven economy.

    It’s important to stress that AI is not here to replace humans but to augment human potential. In the Nigerian oil and gas industry, for instance, AI is being used to analyse seismic data, but the expertise of geologists and engineers remains vital for decision-making. Similarly, in urban planning, AI can map informal settlements and propose infrastructure improvements, but the local knowledge of community leaders is indispensable.

    For everyday Nigerians, embracing AI starts with understanding its practical implications. Whether it’s using AI to optimize traffic flow in Lagos through smart systems or adopting AI-driven mobile health apps, the technology is becoming an integral part of daily life. It’s not about being a tech expert but about being open to new ways of solving challenges and improving livelihoods.

    The emergence of AI in Nigeria and Africa as a whole is not just about adopting global trends. It’s about tailoring these innovations to fit our unique needs and aspirations. As we harness AI to tackle local challenges, we are not only keeping pace with the world but actively shaping the narrative of how technology can uplift economies and communities. With the right investments in infrastructure, education, and ethical practices, AI has the potential to be a powerful force for good across the continent.

    •Adeyemo writes from United Kingdom.

  • Impact of AI, robotics on business growth

    Impact of AI, robotics on business growth

    By Anthony Afuye-Cyrus

    In recent years, the rapid evolution of Artificial Intelligence (AI) and robotics has transformed the global business landscape. These technologies, once the stuff of science fiction, are now driving unprecedented efficiency, innovation, and growth across industries. From automating mundane tasks to enabling data-driven decision-making, AI and robotics reshape how businesses operate, compete, and thrive in an increasingly digital world. Understanding their impact on business growth is essential for companies aiming to stay ahead in a competitive marketplace as their influence expands.

    Enhancing Productivity and Operational Efficiency

    One of the most immediate and tangible benefits of AI and robotics is their ability to enhance productivity and operational efficiency. Robots take over repetitive, labor-intensive tasks in manufacturing, logistics, and healthcare industries, allowing human workers to focus on more complex and creative responsibilities. For example, in automotive manufacturing, robotic arms assemble vehicles with precision and speed, significantly reducing production times and minimizing errors. Similarly, autonomous robots are revolutionizing warehouse inventory management by accurately sorting, transporting, and organizing goods.

    AI complements robotics by enabling machines to learn, adapt, and optimize processes. Machine learning algorithms analyze vast amounts of data to identify patterns, predict outcomes, and make real-time adjustments. In supply chain management, AI-powered systems optimize routes, reduce delivery times, and lower costs. In retail, AI-driven demand forecasting ensures businesses stock the right products at the right time, minimizing waste and maximizing revenue.

    By automating routine tasks and streamlining operations, AI and robotics free up human resources to focus on strategic initiatives, innovation, and customer engagement. This shift boosts productivity and fosters a culture of creativity and problem-solving, driving long-term business growth.

    Transforming Customer Experiences

    In today’s hyper-competitive market, customer experience is a critical differentiator. AI and robotics are pivoting in transforming how businesses interact with their customers, delivering personalized, seamless, and efficient experiences. AI-powered chatbots and virtual assistants provide instant support to customers, answering queries, resolving issues, and even making product recommendations. These tools are available 24/7, ensuring businesses can meet customer needs anytime.

    Moreover, AI-driven analytics enable businesses to gain deeper insights into customer behavior and preferences. By analyzing data from social media, purchase history, and online interactions, companies can tailor their offerings to individual needs. For instance, streaming platforms like Netflix and Spotify use AI to recommend content based on users’ viewing and listening habits, enhancing customer satisfaction and loyalty.

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    Robotics also enhances customer experiences in innovative ways. In the hospitality industry, robots greet guests, deliver room service, and even prepare meals. These advancements create memorable experiences and reduce operational costs, allowing businesses to reinvest in growth initiatives.

    Driving Innovation and Creating New Business Models

    AI and robotics are not just tools for improving existing processes but catalysts for innovation and creating entirely new business models. Start-ups and established companies leverage these technologies to disrupt traditional industries and enter new markets. For example, autonomous vehicles powered by AI and robotics are poised to revolutionize transportation and logistics, giving rise to new services such as self-driving taxis and drone deliveries.

    In healthcare, AI-powered diagnostic tools and robotic surgery systems improve patient outcomes and reduce costs. AI-enabled telemedicine platforms are making healthcare accessible to remote and underserved populations. These advancements are not only saving lives but also opening up new revenue streams for healthcare businesses.

    The rise of the Internet of Things (IoT) has further amplified the impact of AI and robotics. Smart devices, connected through IoT networks, generate vast amounts of data that AI can analyze to optimize performance and predict maintenance needs. This has given birth to the concept of “smart factories,” where machines communicate with each other to streamline production and minimize downtime. Such innovations are driving efficiency and creating new opportunities for growth in manufacturing and beyond.

    Addressing Challenges and Ethical Considerations

    While the benefits of AI and robotics are undeniable, their widespread adoption also presents challenges that businesses must address. One of the most pressing concerns is the potential displacement of jobs. As machines take over routine tasks, job losses in specific sectors, mainly those reliant on manual labor, are at risk. However, history has shown that technological advancements often create new roles and industries, even as they render others obsolete. Businesses must invest in reskilling and upskilling their workforce to ensure employees can adapt to the changing landscape.

    Ethical considerations also come into play, particularly with AI. Data privacy, algorithmic bias, and the potential misuse of AI-powered tools must be carefully managed. Businesses are responsible for developing and deploying AI and robotics in a way that is transparent, fair, and aligned with societal values. Governments and regulatory bodies also play a crucial role in establishing frameworks that promote ethical innovation while safeguarding public interests.

    The Future of Business Growth

    As AI and robotics advance, their impact on business growth will only intensify. Companies that embrace these technologies will gain a competitive edge, unlocking new levels of efficiency, innovation, and customer satisfaction. However, success in this new era requires more than just technological adoption; it demands a strategic vision, a commitment to ethical practices, and a focus on human-centric solutions.

    Integrating AI and robotics into business operations is not just a trend but a fundamental shift in how we work, produce, and innovate. By harnessing these technologies’ power, businesses can achieve growth and contribute to a more sustainable and inclusive economy. The future belongs to those willing to adapt, evolve, and lead in this transformative journey.

    Conclusion

    AI and robotics are no longer optional tools for businesses—they are essential growth drivers in an increasingly digital world. From enhancing productivity and transforming customer experiences to driving innovation and creating new business models, these technologies reshape industries and redefine what is possible. As we navigate this new frontier, the possibilities are limitless, and the potential for positive change is immense. The question is not whether businesses should adopt these technologies but how quickly and responsibly they can do so to secure their place in the future of industry and innovation. By embracing AI and robotics, businesses can unlock new opportunities, overcome challenges, and pave the way for a brighter, more prosperous future.

    • Afuye-Cyrus is a United Kingdom-based Artificial Intelligence and Robotics Analyst

  • AI Summit: Nigeria, France, 56 others launch platform to bridge digital divides

    AI Summit: Nigeria, France, 56 others launch platform to bridge digital divides

    Nigeria, France and other participants at the just concluded Artificial Intelligence (AI) Paris Summit have launched a platform to promote AI accessibility.

    This is part of strategy to reduce the digital divide, and ensure AI is open, inclusive, and transparent.

    A statement from the French Government regarding the AI Summit, explained: “Inclusive and Sustainable Artificial Intelligence for People and the Planet,’ signed by Nigeria, France, and 56 other countries including the European Union and African Union Commission at the summit.

    Nigeria is among the eight founding members of the “Public Interest AI Platform and Incubator”.

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    The purpose of this platform and incubator is to “support, amplify, decrease fragmentation between existing public and private initiatives on Public Interest AI and address digital divides.

    “The Public interest AI Initiative will sustain and support digital public goods and technical assistance and capacity building projects in data, model development, openness and transparency, audit, compute, talent, financing and collaboration to support and co-create a trustworthy AI ecosystem advancing the public interest of all, for all and by all.”

    The signatories of the Paris statement agreed to encourage AI deployment that positively impacts the future of work, promotes sustainable growth, and supports both people and the planet.

    The statement also seeks global reflection on issues like security, human rights, gender equality, linguistic diversity and sustainable development.

  • Machine learning through mentorship

    Machine learning through mentorship

    By Ugochukwu Charles Akajiaku

    In the fast-paced world of machine learning (ML) and deep learning (DL), keeping up with advancements can be overwhelming, particularly for newcomers. Theoretical knowledge alone is no longer sufficient — hands-on experience, guidance, and mentorship are crucial for nurturing the next generation of Artificial Intelligence (AI) leaders. Mentorship serves as the bridge between academic learning and real-world industry impact, ensuring that budding AI professionals can transition effectively from education to practice.

    In recent times, there has been an increasing need for mentorship in AI utilisation. The availability of online courses, research papers, and open-source frameworks has democratised access to ML and DL knowledge. However, this abundance of information presents its challenge. Many early-career professionals struggle with structuring their learning path, implementing research in practical applications, or contributing to open-source projects. Without guidance, years may be spent attempting to break into the field with limited success.

    Additionally, the rapid evolution of AI technologies means learners must continually update their knowledge and skills. Mentorship plays a transformative role in this process, providing direction, insight, and encouragement to those entering the field.

    Mentorship helps bridge the knowledge gap through structured guidance, career advice, or industry exposure. By having mentors, mentees gain access to insider knowledge, networking opportunities, and the ability to work on impactful projects that might otherwise be inaccessible.

    The role of thought leaders in AI mentorship is important. Experienced ML practitioners and researchers hold a responsibility to share knowledge and provide mentorship. Thought leadership in AI extends beyond publishing research and developing cutting-edge models — it includes fostering a culture of learning and collaboration.

    Mentorship can take various forms, including through structured learning paths that involve guiding mentees through a logical progression of foundational mathematics, algorithms, and programming before advancing to deep learning; code reviews and project guidance by encouraging participation in real-world projects, open-source repositories, and industry collaborations; career and research advice by helping mentees identify career paths, research interests, and networking opportunities.

    Furthermore, mentorship can take the form of ethical AI discussions, ensuring that mentees grasp the broader implications of AI technologies, including fairness, bias mitigation, and accountability. Industry exposure would provide mentees with exposure to industry practices, corporate AI strategies, and the expectations of working in a professional AI environment. And, finally, personal development would help build soft skills such as problem-solving, teamwork, and communication, which are equally important in AI careers.

    The real-world impact of effective mentorship is germane. As a mentor, I have witnessed the transformative effects of structured guidance. For instance, one of my mentees, who struggled to break into the industry, secured a top-tier AI research role after working on an open-source natural language processing (NLP) project under my mentorship. Another transitioned from a non-technical background into a full-time ML engineering role through a structured learning plan and hands-on project support.

    Such stories are not isolated cases. In the United States and Canada, many universities and tech incubators run AI mentorship programmes. Organisations such as OpenAI, DeepMind, and AI4ALL provide mentorship opportunities to aspiring AI professionals. In the United Kingdom, the Alan Turing Institute actively promotes AI mentorship by connecting researchers with industry experts. In India, AI research fellowships and mentorship-driven initiatives are gaining traction, encouraging students and professionals to enter the AI field. Finally, in Singapore, government-backed AI programmes emphasise mentorship and collaboration with industry experts to nurture local talent.

    By dedicating time to mentorship, AI experts not only help individuals grow but also contribute to the overall advancement of the field by cultivating a steady pipeline of skilled professionals.

    Mentorship in academia versus industry is worthy of mention. For an aspiring AI professional, leveraging mentorship from both academia and industry can lead to a well-rounded skill set. In academia, mentorship often focuses on theoretical concepts, research methodologies, and scientific discovery. On the other hand, industry mentorship is more application-oriented, emphasising real-world problem-solving, software engineering best practices, and business impact. They also help mentees understand industry trends, regulatory concerns, and the competitive AI landscape.

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    Now, the question is: How does one become an effective AI mentor? For those with expertise in ML and DL, becoming a mentor can be a highly rewarding experience. Some of the practical ways to engage in mentorship are by joining AI communities and engaging with online forums, participating in and contributing to open-source projects, and offering structured learning programmes and participating in mentorship programmes that guide mentees through structured learning paths.

    Furthermore, by providing career guidance and helping mentees understand different career trajectories, promoting ethical AI discussions and encouraging mentees to think critically about AI ethics, and encouraging hands-on experience and guiding mentees in working on real-world projects. By taking these steps, experienced AI professionals can play a pivotal role in shaping the future of the field.

    Mentees could find the right AI mentors by leveraging online platforms and engaging with AI professionals on social media, attending AI conferences and workshops, joining AI communities and meet-ups, being proactive and showing initiative, and engaging in open-source projects.

    I must emphasise that the future of AI depends on mentorship. The future of AI hinges not only on technological advancements but also on the cultivation of talent. Mentorship ensures that innovation remains accessible, ethical, and impactful. Without mentorship, the AI field risks becoming an exclusive domain where only a few have access to high-level knowledge and career opportunities.

    By fostering a strong mentorship culture, we can empower the next generation of AI practitioners to drive meaningful progress in the field. Whether you are an AI expert or an aspiring learner, investing in mentorship — either by guiding others or seeking guidance — could lead to exponential growth for individuals and the AI community as a whole.

    In a field where collaboration fuels progress, mentorship is the key to unlocking the full potential of AI. The more we share, the more we innovate, and the more we collectively push the boundaries of what is possible in artificial intelligence.

    •Akajiaku, a geologist, project manager and data scientist, writes from Port Harcourt.

  • NUC, NOUN, AAU empower 931 scholars on use of AI

    NUC, NOUN, AAU empower 931 scholars on use of AI

    No fewer than 931 staff members of universities, polytechnics and colleges of Education across West Africa have graduated from an intensive 13-week training on the use of Artificial Intelligence (AI).

    Speaking to reporters at the end of the graduation ceremony in Abuja, on Tuesday, Prof. Emeritus Peter Okebukola said the training covered key concepts in AI with 11 practical sessions.

    He said the training was organised by the National Universities Commission (NUC), National Open University of Nigeria (NOUN) and the West Africa Office of the Association of African Universities (AAU) under the auspices of the NUC Strategy Advisory Committee (STRADVCOM).

    According to him, the training was aimed at supporting the participants’ teaching, research and community engagement.

    Okebukola, who is also the Director/Facilitator-General of the Virtual Institute for Capacity Building in Higher Education (VICBHE), said the training programme was supported by the Tertiary Education Trust Fund (TETFund).

    He noted that the participants could now practically use AI tools to support their teaching, research and community engagement.

    According to him, they can now carry out exercises in machine learning and more importantly, use AI tools for quality assurance including accreditation.

    Okebukola said that all the participants also learned ethical considerations in the use of AI.

     “The quality of the project reports is amazing. The aggregation of these policies will lead us to draft AI policies for higher education institutions in the participating countries and under the aegis of the AAU West Africa Office.

    “It will lead us to produce a draft for the Africa region for consideration by the Secretary General of the AAU, Prof. Olusola Oyewole.

    “We closed the practical sessions with training participants in deepfake technology. They are now able to deepfake videos and pictures.

    “We did this for two reasons. First, not to hide the bad sides of AI from them but to give them, through hands-on methodology, the good and the bad sides.

    “The second reason is that if they know deepfake, they are better positioned to detect deepfake videos and images when they see one,” he said.

    On the performance of the participants, Okebukola disclosed that a total of 156 participants earned distinction plus certificate; 457 had distinctions; 74 with credit; 131 merit and 113 with pass.

    He added that 290 participants earned distinctions in the end-of-course project while 21 participants received special awards.

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    A former Minister of Education, Prof. Ruqayyatu Rufa’i, underlined the importance of the training for the successful implementation of the NUC Core Curriculum and Minimum Academic Standards (CCMAS).

    Rufai said that the CCMAS was a legacy of Prof. Abubakar Adamu Rasheed, and was now in use in Nigerian universities.

    Awards were given to distinguished participants at the end of the training.

    The Malam Adamu Adamu prize for the overall best graduating participant was awarded to Prof. Omolara Oluwaniyi of the University of Ilorin.

    Oluwaniyi also won the Prof. Abubakar Adamu Rasheed Prize for the best participant from the Nigerian university system as well as the Prof. Ngozi Odu Prize for the overall best female participant.

    The Sonny Echono Prize for the overall best head of tertiary institutions was won by Prof. Mohammed Tanko, Vice-Chancellor, Mewar University.

    Other awards went to Dr. Florence Kakwera, National Council for Higher Education, Malawi; Dr. Bridget Audu, National Universities Commission (Christopher J. Maiyaki Prize); Prof. Ibiyinka Fuwape, Michael and Cecilia Ibru University (Professor Ruqayyatu Ahmed Rufa’i Prize); Christie Dasaro, ECWA International College Of Technology, Jos (best serving Rector of Polytechnic).

    Others are Prof. Akan Williams, former VC, Covenant University (best former vice-chancellor); Professor Basirat Oladipupo-Folarin, Lagos State University of Science and Technology (best serving deputy vice-chancellor).

    The participants at the training included vice-chancellors, rectors of Polytechnics, provosts of Colleges of Education, deputy vice-chancellors, directors of Academic Planning, directors of Information and Communication Technology (ICT), among others.