Artificial Intelligence

Artificial Intelligence (AI) has emerged as a powerful tool in advancing the Sustainable Development Goals (SDGs), a universal call to action to end poverty, protect the planet, and ensure that all people enjoy peace and prosperity by 2030. AI's capabilities, ranging from data analysis to predictive modeling, offer unprecedented opportunities to address complex global challenges outlined in the SDGs. For instance, AI can analyze vast datasets to identify trends and insights related to poverty, hunger, health, education, and environmental degradation, enabling targeted interventions and resource allocation. In the realm of healthcare, AI-powered tools and systems are revolutionizing diagnostics, treatment planning, and patient monitoring, contributing significantly to SDG 3, which aims to ensure healthy lives and promote well-being for all at all ages. By analyzing medical data, AI can identify disease patterns, predict outbreaks, and suggest preventive measures, thereby enhancing healthcare accessibility and affordability.

Moreover, AI's role in climate action (SDG 13) is another area where its impact is profound. Through the analysis of climate data, AI helps in predicting weather patterns, assessing the impact of climate change, and optimizing the use of renewable energy sources. This aids in developing more effective strategies for disaster risk reduction, sustainable agriculture, and energy consumption, aligning with the goals to combat climate change and its impacts. Additionally, AI contributes to achieving SDG 4 (quality education) by personalizing learning experiences through adaptive learning platforms that cater to the individual needs of students, thus improving access to quality education globally. However, the integration of AI into SDG efforts also presents challenges, including ethical considerations, data privacy concerns, and the digital divide. Ensuring that AI technologies are inclusive, transparent, and aligned with human rights is crucial to leveraging AI for the global good without exacerbating inequalities or undermining privacy and security.

The relationship between AI and the SDGs is symbiotic; while AI offers tools and solutions to accelerate progress towards the SDGs, the pursuit of these goals provides a framework for developing and implementing AI technologies responsibly and ethically. As we harness AI's potential, it is imperative to adopt a multi-stakeholder approach that includes governments, the private sector, academia, and civil society. This collaborative effort is essential to create policies, standards, and practices that ensure AI's benefits are widely distributed and its challenges are effectively managed. By doing so, we can maximize AI's contribution to sustainable development, creating a more equitable, resilient, and prosperous world for all.

This year’s RELX SDG Inspiration Day will bring together global AI leaders, corporate representatives, investors, government, and NGOs to explore issues, gain practical insights and be inspired to take action in support of the Global Goals. Elsevier is proud to share this special collection of articles and chapters in celebration of this event.
The research questions explore the recent progress and technological advancements in Wireless Power Transfer (WPT), the reflection of global engagement within the WPT community through publication trends and geographical distribution, and the alignment of thematic clusters with SDG goals. Questions also investigate the contribution of AI to WPT, challenges and barriers to WPT adoption revealed by bibliometric analysis, ways WPT technology can democratize technology access in marginalized regions, and specific recommendations to ensure WPT technologies effectively accelerate progress towards achieving a broader set of SDGs.
RELX SDG Inspiration Day 2024: Leading edge discussion on AI for sustainable development: the risks and opportunities The tenth RELX SDG Inspiration Day - a free, online event for thought leaders, corporate representatives, students, investors, government and NGOs to explore issues, gain practical insights and be inspired to take action in support of the UN Sustainable Development Goals.
SDG wheel with Age of AI event details

AI holds tremendous potential for advancing the United Nations Sustainable Development Goals (SDGs).  AI, particularly generative AI, provides new opportunities to analyse data and trends at pace and scale to further knowledge, allocation of resources and action.  Applications to address the global challenges presented by the SDGs such as poverty and hunger, human health, climate change, biodiversity and ocean degradation are potentially limitless.  Upskilling and access to AI technology will be critical, but how can we avoid an AI divide between the West and the rest?

The results from this study indicate that the AI-based risk assessment predicts later stage breast cancers as high risk among women who currently are sent at home with a negative mammogram.
The researchers examined the use of footwear that incorporates force-sensing resistor sensors to classify lower limb disorders affecting the knee, hip, and ankle joints. The outcomes of the study reveal promising findings for future gait analysis and injury diagnosis, and the potential of force-sensing resistors (FSRs) and machine learning techniques for improving the assessment of lower limb injuries, and thereby furthering SDG3.

Patterns, Volume 4, 10 November 2023

Contextualizes discussions about future rights for AI agents in the context of the women rights and other civil rights movements. Brandeis Marshall, a leading voice in ethical and equitable AI, argues that we must focus first on building a social framework for AI that protects humans and their rights.

Artificial Intelligence in Clinical Practice, How AI Technologies Impact Medical Research and Clinics

2024, Pages 395-399

To harness the power and promise of AI in global health, adequate investment must be made in communication, computer systems, and supporting personnel to collect, curate, and manage the data necessary to enable benefits and minimize harm from the use of AI-related tools. In developed countries, this has either occurred or is underway. Developing countries run the risk of widening the digital divide if this does not occur. This chapter supports SDG3.
The need and opportunities for global health strategies to leverage the power of digital health technology to improve healthcare outcomes are growing. Telehealth and other digital health products and services are becoming increasingly important in this effort, and methodical strategies should be used to evaluate the need, application, integration, maintenance, and scaling of such solutions. With the correct attention upon these areas, digital health can serve as a catalyst to improve healthcare outcomes and reduce disparities across the world, supporting SDG3.
The growth of predictive data analytics and the simultaneous growth in the availability of interoperable AI-enabled devices offer opportunities to mitigate healthcare disparities currently endemic in indigent, underrepresented, and underserved communities supporting SDG3.