Advertisement
Ask Nigeria Header Logo

Addressing AI’s ethical challenges in Nigeria

Photo of author

By Samuel Abimbola

Nigeria’s AI strategy is introduced to ensure tech aligns with societal norms.

Incorporating Artificial Intelligence (AI) into Nigeria’s socio-economic structure has brought attention to these technologies’ ethical issues. With the rapid advancement of robotics, the nation faces struggles related to ethical difficulty, regulatory matters, and ensuring fairness in AI-based decision-making processes. The Nigerian National Artificial Intelligence Strategy is central to this effort. It is a government-backed initiative promoting ethical guidelines and regulatory frameworks. It emphasises fairness, transparency, and Data Protection as essential pillars to ensure that technologies align with the region’s socio-cultural context while promoting innovation.

Advertisement

Ensuring fairness and reducing bias in Robotics systems is a central focus of the region’s AI ethics strategy. The issue of bias in robotics, especially in machine learning-based systems trained on past data, is widely acknowledged. If the datasets contain societal biases, robotics systems could unintentionally reinforce or worsen these inequalities when making decisions. For example, biased facial recognition systems have consistently demonstrated racial and gender disparities in identification accuracy, raising significant concerns regarding fairness. The challenge lies in addressing these biases, which often disproportionately affect underrepresented and marginalised communities.

AI biases can have significant repercussions across various industries.

Artificial intelligence biases can lead to serious repercussions in various fields, such as law enforcement, employment, and banking. Discriminatory results are a concern across different sectors without proper testing for fairness. To address these concerns, the national robotics strategy promotes the creation and utilisation of techniques to identify and eliminate biases while training and using programming systems. This guarantees that robotics technologies prioritise fairness and equality, especially in situations that impact disadvantaged communities. One of the ethical difficulties encountered is the black box, where programming models operate mysteriously, making it challenging for individuals to comprehend the decision-making process.

Advertisement

The Nigerian National Artificial Intelligence Strategy proposes creating unexplainable artificial intelligence (XAI) systems to solve the transparency issue. It focuses on enhancing the interpretability of robotics models, allowing individuals and parties involved to understand the reasoning behind decisions. By integrating these methods, developers can guarantee that programming systems offer transparent and easy-to-understand explanations for their results. Building user trust and promoting transparency in decision-making is essential. This ensures stakeholders can review the ethical considerations of robotics results and detect any potential biases.

Various groups are leading the global discussion on ethical robotics.

It is crucial to prioritise explainability in robotic systems if they are to be incorporated into legal and regulatory structures. Maintaining transparent decision-making procedures allows programming applications in the legal, financial, and healthcare industries to be easily understood and assessed. Creating interpretable robotics systems involves utilising decision trees, rule-based systems, and model-agnostic methods that provide explanations in a way that is understandable to humans. Artificial intelligence is advancing rapidly, leading to constantly changing ethical questions. The rise of super intelligent robotics brings about new challenges around control, responsibility, and its impact on society.

Advertisement

Like many other nations, the country faces the task of handling these challenges cautiously, ensuring that machine Technology is developed with a focus on putting humans first. This involves prioritising the collaboration between humans and robotics, where programming enhances human skills instead of taking them over, especially in vital sectors like healthcare and education. Organisations like the Partnership on Artificial Intelligence, the Institute of Electrical and Electronics Engineers (IEEE), and the World Economic Forum (WEF) have played a significant role in advancing the discussion on ethical robotics at a global level.

Related Article: Computer scientists plan AI reform in schools

These groups are crucial in establishing a global unified approach to robotics ethics by promoting international cooperation on ethical standards and regulations. It is essential for the country to actively engage in global initiatives to ensure that its robotic regulations are in line with international norms and tailored to the specific needs of its society. Recognising and respecting cultural diversity is a major challenge in creating ethical programming guidelines worldwide. Ethics in robotics cannot be universal; various regions uphold unique values, norms, and priorities. In Nigeria, discussions on robotics ethics should consider local societal values to ensure that they align with the needs and interests of the citizens.

Advertisement


Disclaimer

The content on AskNigeria.com is given for general information only and does not constitute a professional opinion, and users should seek their own legal/professional advice. There is data available online that lists details, facts and further information not listed in this post, please complete your own investigation into these matters and reach your own conclusion. Images included with this information are not real, they are AI generated and are used for decorative purposes only. Our images are not depicting actual events unless otherwise specified. AskNigeria.com accepts no responsibility for losses from any person acting or refraining from acting as a result of content contained in this website and/or other websites which may be linked to this website.

Advertisement