GOALS

 

SDG 10

 

Reduce income inequality within and among countries.

 

Important indicators for this SDG are income disparities, aspects of gender and disability, as well as policies for migration and mobility of people.

AI is promoting inclusivity, reducing inequalities, and enabling data-driven policies for equitable social and economic advancement. In this chart we observe the several aspects of coverage of social insurance programs (% of population).

This perspective offers a real-time view of the worldwide news on inequality-related topics, providing us with a media perspective on the progress at the different fronts of SDG 10.

A SDG Live Report is what it is all about! Here, you can have a real-time perspective of the state of the world in regard to AI and sustainability, tracking some of the main issues to address in the near future.

AI has significantly influenced the progress of Sustainable Development Goal 10 (SDG 10), which aims to reduce inequality within and among countries. Between 2015 and 2023, there have been 170,218 scientific publications examining the role of AI in addressing various forms of inequality. These studies highlight AI’s potential to identify and mitigate biases in decision-making processes, enhance access to education and healthcare, and support economic inclusion for marginalized communities. AI-driven analytics can uncover patterns of discrimination and provide insights to develop more equitable policies. Media exposure, with 18,009 news articles, reflects a growing public interest in the intersection of AI and social justice, emphasizing the need for ethical AI practices. The development of 808 AI policies targeting SDG 10 indicates a commitment from policymakers to leverage AI for promoting equality, focusing on ensuring that AI technologies are used to benefit all segments of society without exacerbating existing disparities.

Looking ahead, the next 5 to 10 years are poised to see significant advancements in the application of AI to reduce inequalities. AI will play a crucial role in enhancing the inclusivity of education and healthcare systems, providing personalized learning and health solutions that cater to the needs of disadvantaged groups. Efforts to address algorithmic biases will intensify, ensuring that AI systems are fair and transparent. Policymakers will likely introduce more regulations to promote the ethical use of AI, focusing on protecting vulnerable populations from potential harm. Additionally, AI can support economic empowerment by enabling access to financial services and employment opportunities for underrepresented communities. As collaboration between governments, tech companies, and civil society organizations strengthens, AI-driven initiatives will increasingly align with the goals of SDG 10, fostering a more equitable and inclusive global society.

Here is your window to the global efforts to reduce inequality through AI. This dashboard is configurable and can be integrated into other systems to bring actionable technology into the systems of research institutions, governments and enterprises that are willing to make a difference.

 

Avoiding data bias in AI systems is crucial to ensure fair, accurate, and equitable outcomes, preventing the reinforcement of existing inequalities and enabling more trustworthy and inclusive technologies. Here you will see a dashboard analysing the bias related to the data ingested in this observatory for SDG 10.

INDICATORS

Key indicators that report on the status of water sustainability will further understanding of this important topic. With this tool, you can utilize drop-down menus and animations to explore the various aspects of and progress towards SDG 1.

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This view offers the individual perspective at each of the indicators in order to disentangle the parameters in the global/local indicator view and have a better perspective of the evolution of the indicator through time across regions and countries.

Here you can observe the timeline of indicators that have a local dimension, comparing regions instead of countries to provide insight with more granularity reflecting local priorities being addressed.

This view offers the individual perspective at each of the indicators in order to disentangle the parameters in the global/local indicator view and have a better perspective of the evolution of the indicator through time across regions and countries.

MEDIA

The media room exhibits insight from world and local news, aiming to identify SDG-related events from millions of worldwide multilingual news, and to exhibit best practices towards solving SDG-related problems. This is offered in collaboration with EventRegistry.

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In this view you can explore the different topics and subtopics related to the signal of worldwide news related to the selected SDG.

This visualisation will expose the intensity of news published in the main topics of the selected SDG and the impact that AI has on it, exposing the newsworthiness of that impact worldwide and on a timeline.

Review the worldwide news, social media posts and forum discussions published on SDG-related topics, using interactive data visualisation that can help better refine the search parameters.

SCIENCE

This perspective is providing the IRCAI user with the access to text-mining tools to improve effectiveness in reviewing a topic over a large dataset of published science and patented technology.

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Here we can observe the research trends related to the selected SDG based on more than 128 million articles published worldwide since the 40’s. Add/remove aspects of the SDG that should be compared.

Here we observe the relation between the concepts (edges) relevant to the selected SDG and the relations between those concepts, stronger or weaker according to the amount of articles where these are topics in common.

Review the published research and submitted patents about SDG-related topics, building global knowledge, using interactive data visualisation that can help better refine the search parameters.

POLICY

The observation of policies applied worldwide on SDGs is fundamental to better understand the progress of the global action. Explore the topics related to the legal and regulatory landscape from open data using sophisticated data analytics and machine learning methods.

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Here we can observe the trends identified in the ingested policy and legislation related to the selected SDG based. Add/remove aspects of the SDG that should be compared.

Observe in time the relations between concepts automatically identified in the legislation and their relation according to frequency that they are being part of the same policy documents.

Review the published legislation and policies about SDG-related topics, making sense of the published policies using interactive data visualisation that can help better refine the search parameters.

EDUCATION

Education is key for progress and sustainability. Explore in this room the educational resources in several SDG-related knowledge domains that can help educational institutions, local governments and companies can leverage the Observatory to best fit the professionals of the future.

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Explore the available open education resources focusing SDG-related topics through interactive data visualisation and machine learning methods to get closer to what you are looking for.

In this view you can explore the different topics and subtopics related to the available educational resources related to the selected SDG.

Review published educational resources focusing SDG-related topics, making sense of the related topics using interactive data visualisation that can help better the professional training and public education on sustainability.

INNOVATION

The heart beat of entrepreneurship can be the driver for sustainability. Explore in this room the innovation initiatives, from start-ups to living labs, focusing in several SDG-related topics building an ecosystem of initiatives that will enrich the sustainability-focused industrial landscape.

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Explore the topics engaged in the different actors of the existing innovation ecosystem focusing AI and sustainability, and fed by IRCAI’s Top 100 using sophisticated data analytics and machine learning methods.

In this view you can explore the different topics and subtopics related to the existing initiatives focusing specific objectives related to the progress of the selected SDG.

Review the content of the initiatives in the ecosystem progressing SDG-related topics, making sense of the related topics using interactive data visualisation that can help better to build fruitful cooperation with SDG focus.