Human-Centered Artificial Intelligence: The Superlative Approach to Achieve Sustainable Development Goals in the Fourth Industrial Revolution

Abstract

Artificial intelligence (AI) is currently being developed by large corporations, and governments all over the world are yearning for it. AI isn’t a futuristic concept; it is already here, and it is being implemented in a range of industries. Finance, national security, health care, criminal justice, transportation, and smart cities are all examples of this. There are countless examples of AI having a substantial impact on the world and complementing human abilities. However, due to the immense societal ramifications of these technologies, AI is on the verge of disrupting a host of industries, so the technique by which AI systems are created must be better understood. The goal of the study was to look at what it meant to be human-centred, how to create human-centred AI, and what considerations should be made for human-centred AI to achieve sustainability and the SDGs. Using a systematic literature review technique, the study discovered that a human-centred AI strategy strives to create and implement AI systems in ways that benefit mankind and serve their interests. The study also found that a human-in-the-loop concept should be used to develop procedures for creating human-centred AI, as well as other initiatives, such as the promotion of AI accountability, encouraging businesses to use autonomy wisely, to motivate businesses to be aware of human and algorithmic biases, to ensure that businesses prioritize customers, and form multicultural teams to tackle AI research. The study concluded with policy recommendations for human-centred AI to help accomplish the SDGs, including expanding government AI investments, addressing data and algorithm biases, and resolving data access issues, among other things.

Artificial Intelligence and the Sustainable Development Goals: GPT-3`s Reflections on the Society Domain

“…In sum, many targets within the society domain, such as those related to poverty, education, water and sanitation, and sustainable cities, may benefit from AI-based technologies, as highlighted in previous studies [6,7]. AI has the potential to greatly benefit society through technology-based solutions, as long as we consider its potential negative impacts as well.…”

“…That is clearly a no-go for evidence-based research that relies on being factual. We thus suggest that according to principles of good scientific writing, an AI-based model is a useful method for applied science, but not as a co-author in scientific publications that rely on a broad understanding of the respective research field [6,16,21,23,24]. Also, Subsequently, the use of AI should be strongly regulated and limited to specifically listed journals, eventually entitled "The Journal for AI-coauthored Articles", which is not existing yet.…”

“…Notably, AI-based technology is traditionally based on the values and needs of the nations where it is developed [5]. Latest research highlighted the potential drawbacks of AI-based developments, including its traditional alignment with the values of developed nations and the resulting lack of ethical scrutiny, transparency, and democratic control in other regions [6,7]. AI can be used for manipulative purposes and exploit psychological weaknesses, leading to issues with social cohesion and human rights [8].…”

“…Current global and geopolitical crises such as the COVID-19 pandemic, the climate change, the biodiversity crisis, or the energy crisis caused by the Russia-Ukraine armed conflict have widespread effects on society, economy, and environment, potentially negatively impacting the achievement of the SDGs [10,11]. A comprehensive and integrated approach is crucial in this respect, with the rise of AI offering hope for bridging current gaps and unsolved implementation problems through technology [6,7].…”

Environmentally sustainable smart cities and their converging AI, IoT, and big data technologies and solutions: an integrated approach to an extensive literature review

“…In view of that, coupled with the AI-based technologies being still in their incipient stages, it is necessary to devise more effective regulatory and governance measures to ensure they will not undermine ethical and humanistic values. Ensuring that AI is human centered requires government interventions (Mhlanga 2022 ), and ethical standard and regular auditing are key to maintain compliance with regulatory frameworks governing the use and adoption of AI (Truby 2020 ). It has become of critical importance to develop “responsible and ethical AI” before it is too late (Barredo Arrieta et al 2020 ); (Burton et al 2020 ); (Matthias 2004 )This approach also relates to XAI challenges (Barredo Arrieta et al 2020 ).…”