Inclusiveness

AI systems should empower everyone and engage people.
Principle: Microsoft AI Principles, Jan 17, 2018 (unconfirmed)

Published by Microsoft

Related Principles

Human centred values

Throughout their lifecycle, AI systems should respect human rights, diversity, and the autonomy of individuals. This principle aims to ensure that AI systems are aligned with human values. Machines should serve humans, and not the other way around. AI systems should enable an equitable and democratic society by respecting, protecting and promoting human rights, enabling diversity, respecting human freedom and the autonomy of individuals, and protecting the environment. Human rights risks need to be carefully considered, as AI systems can equally enable and hamper such fundamental rights. It’s permissible to interfere with certain human rights where it’s reasonable, necessary and proportionate. All people interacting with AI systems should be able to keep full and effective control over themselves. AI systems should not undermine the democratic process, and should not undertake actions that threaten individual autonomy, like deception, unfair manipulation, unjustified surveillance, and failing to maintain alignment between a disclosed purpose and true action. AI systems should be designed to augment, complement and empower human cognitive, social and cultural skills. Organisations designing, developing, deploying or operating AI systems should ideally hire staff from diverse backgrounds, cultures and disciplines to ensure a wide range of perspectives, and to minimise the risk of missing important considerations only noticeable by some stakeholders.

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

• Require Accountability for Ethical Design and Implementation

The social implications of computing have grown and will continue to expand as more people have access to implementations of AI. Public policy should work to identify and mitigate discrimination caused by the use of AI and encourage designing in protections against these harms. [Recommendations] • Standing for “Accountable Artificial Intelligence”: Governments, industry and academia should apply the Information Accountability Foundation’s principles to AI. Organizations implementing AI solutions should be able to demonstrate to regulators that they have the right processes, policies and resources in place to meet those principles. • Transparent decisions: Governments should determine which AI implementations require algorithm explainability to mitigate discrimination and harm to individuals.

Published by Intel in AI public policy principles, Oct 18, 2017

Fairness

AI systems should treat all people fairly.

Published by Microsoft in Microsoft AI Principles, Jan 17, 2018 (unconfirmed)

2. We design for people

We strive to create AI software systems that are inclusive and that seek to empower and augment the talents of our diverse usership. By providing human centered user experiences through augmentative and intuitive technologies, we leverage AI to support people in maximizing their potential. To achieve this, we design our systems closely with users in a collaborative, multidisciplinary, and demographically diverse environment.

Published by SAP in SAP's Guiding Principles for Artificial Intelligence, Sep 18, 2018

6. Provide transparency, explainability and accountability for children

Strive to explicitly address children when promoting explainability and transparency of AI systems. Use age appropriate language to describe AI. Make AI systems transparent to the extent that children and their caregivers can understand the interaction. Develop AI systems so that they protect and empower child users according to legal and policy frameworks, regardless of children's understanding of the system. Review, update and develop AI related regulatory frameworks to integrate child rights. Establish AI oversight bodies compliant with principles and regulations and set up mechanisms for redress.

Published by United Nations Children's Fund (UNICEF) and the Ministry of in Requirements for child-centred AI, Sep 16, 2020