AI in general 1, 2017

Top 10 Principles for Ethical AI

Switzerland

Actors

UNI Global Union

Tags

Labour market, Bias, Transparency, Accountability,

Resources


UNI is a global union representing over 20 million workers from the skills and services industries. The organisation “calls on all companies and governments to engage with the union movement, to co-create a just transition to a future of decent work.”
The core principle is that “Artificial intelligence must put people and planet first. This is why ethical AI discussions on a global scale are essential. A global convention on ethical AI that encompasses all is the most viable guarantee for human survival.”
The aim of the 10 principles outlined by UNI is to ensure workers’ rights and influence in the age of growing AI use and its audiences are unions, shop stewards and workers.

  1. Demand That AI Systems Are Transparent

  2. Equip AI Systems With an “Ethical Black Box” - A device, which records information about the system, as well as about the ethical considerations built into the system.

  3. Make AI Serve People and Planet - AI systems should be compatible with core values of human dignity, integrity, freedom, privacy and cultural and gender diversity, as well as with fundamental human rights. In addition, AI should improve the Earth’s ecosystem and biodiversity.

  4. Adopt a Human-In-Command Approach - AI systems must retain the legal status of tools and legal persons must remain in control of and bear responsibility for the actions of the system. In addition, workers must have a right to an explanation if AI systems are used to make decisions about them.

  5. Ensure a Genderless, Unbiased AI

  6. Share the Benefits of AI Systems - Global and national policies to minimise the digital divide are necessary.

  7. Secure a Just Transition and Ensuring Support for Fundamental Freedoms and Rights. As AI developments reshape the labour market, displacing workers, corporate accountability measures and government policies must be put in place, for example in the form of retraining programmes. States and companies are responsible for ensuring opportunities for lifelong learning and workers’ continued employability. AI systems must protect workers’ fundamental rights and come equipped with algorithms that embody key human rights laws, International Labour Organisation Conventions and other collective agreements.

  8. Establish Global Governance Mechanisms - Decent Work and Ethical AI governance bodies on global and regional levels.

  9. Ban the Attribution of Responsibility to Robots - Whistleblowing procedures must be established, and such bodies should recommend on compliance procedures.

  10. Ban AI Arms Race - LAWS and cyber warfare should be banned.

AI Governance
Database

This database is an information resource about global governance activities related to artificial intelligence. It is designed as a tool to help researchers, innovators, and policymakers better understand how AI governance is developing around the world.

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