Safe and Ethical AI (SEA) Platform Network · Linking Artificial Intelligence Principles (LAIP)

8. Inclusivity

Ensure that AI is accessible to all.

Principle: A compilation of existing AI ethical principles (Annex A), Jan 21, 2020

Published by Personal Data Protection Commission (PDPC), Singapore

Related Principles

Fairness

Throughout their lifecycle, AI systems should be inclusive and accessible, and should not involve or result in unfair discrimination against individuals, communities or groups. This principle aims to ensure that AI systems are fair and that they enable inclusion throughout their entire lifecycle. AI systems should be user centric and designed in a way that allows all people interacting with it to access the related products or services. This includes both appropriate consultation with stakeholders, who may be affected by the AI system throughout its lifecycle, and ensuring people receive equitable access and treatment. This is particularly important given concerns about the potential for AI to perpetuate societal injustices and have a disparate impact on vulnerable and underrepresented groups including, but not limited to, groups relating to age, disability, race, sex, intersex status, gender identity and sexual orientation. Measures should be taken to ensure the AI produced decisions are compliant with anti‐discrimination laws.

Published by Department of Industry, Innovation and Science, Australian Government in AI Ethics Principles, Nov 7, 2019

9.

Considering that the rapid development of artificial intelligence technology has made it difficult to respect and protect cultural and linguistic diversity, China and France advocate that artificial intelligence must provide inclusive access for all, provide accessible, visible, and discoverable content online, respect multiple languages and cultural diversity, including within multilateral frameworks.

Published by China Government in Joint Statement between the People's Republic of China and the French Republic on Artificial Intelligence and Global Governance, May 7, 2024

Collaborative and inclusive

We believe a technology that has the potential to impact all of society must be shaped by and accountable to all of society. We are therefore committed to supporting a range of public and academic dialogues about AI. By establishing ongoing collaboration between our researchers and the people affected by these new technologies, we seek to ensure that AI works for the benefit of all.

Published by DeepMind in DeepMind Ethics & Society Principles, Oct 3, 2017 (unconfirmed)

a. Organisations using AI in decision making should ensure that the decision making process is explainable, transparent and fair.

Although perfect explainability, transparency and fairness are impossible to attain, organisations should strive to ensure that their use or application of AI is undertaken in a manner that reflects the objectives of these principles as far as possible. This helps build trust and confidence in AI.

Published by Personal Data Protection Commission (PDPC), Singapore in A Proposed Model AI Governance Framework: Guiding Principles, Jan 23, 2019

· ③ Respect for Diversity

Throughout every stage of AI development and utilization, the diversity and representativeness of the AI users should be ensured, and bias and discrimination based on personal characteristics, such as gender, age, disability, region, race, religion, and nationality, should be minimized. Commercialized AI systems should be generally applicable to all individuals. The socially disadvantaged and vulnerable should be guaranteed access to AI technologies and services. Efforts should be made to ensure equal distribution of AI benefits to all people rather than to certain groups.

Published by The Ministry of Science and ICT (MSIT) and the Korea Information Society Development Institute (KISDI) in National AI Ethical Guidelines, Dec 23, 2020