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

· 1. A.I. must be designed to assist humanity

As we build more autonomous machines, we need to respect human autonomy. Collaborative robots, or co bots, should do dangerous work like mining, thus creating a safety net and safeguards for human workers.

Principle: 10 AI rules, Jun 28, 2016

Published by Satya Nadella, CEO of 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

(c) Responsibility

The principle of responsibility must be fundamental to AI research and application. ‘Autonomous’ systems should only be developed and used in ways that serve the global social and environmental good, as determined by outcomes of deliberative democratic processes. This implies that they should be designed so that their effects align with a plurality of fundamental human values and rights. As the potential misuse of ‘autonomous’ technologies poses a major challenge, risk awareness and a precautionary approach are crucial. Applications of AI and robotics should not pose unacceptable risks of harm to human beings, and not compromise human freedom and autonomy by illegitimately and surreptitiously reducing options for and knowledge of citizens. They should be geared instead in their development and use towards augmenting access to knowledge and access to opportunities for individuals. Research, design and development of AI, robotics and ‘autonomous’ systems should be guided by an authentic concern for research ethics, social accountability of developers, and global academic cooperation to protect fundamental rights and values and aim at designing technologies that support these, and not detract from them.

Published by European Group on Ethics in Science and New Technologies, European Commission in Ethical principles and democratic prerequisites, Mar 9, 2018

· 2) Research Funding

Investments in AI should be accompanied by funding for research on ensuring its beneficial use, including thorny questions in computer science, economics, law, ethics, and social studies, such as: How can we make future AI systems highly robust, so that they do what we want without malfunctioning or getting hacked? How can we grow our prosperity through automation while maintaining people’s resources and purpose? How can we update our legal systems to be more fair and efficient, to keep pace with AI, and to manage the risks associated with AI? What set of values should AI be aligned with, and what legal and ethical status should it have?

Published by Future of Life Institute (FLI), Beneficial AI 2017 in Asilomar AI Principles, Jan 3-8, 2017

2. Autonomy

[QUESTIONS] How can AI contribute to greater autonomy for human beings? Must we fight against the phenomenon of attention seeking which has accompanied advances in AI? Should we be worried that humans prefer the company of AI to that of other humans or animals? Can someone give informed consent when faced with increasingly complex autonomous technologies? Must we limit the autonomy of intelligent computer systems? Should a human always make the final decision? [PRINCIPLES] The development of AI should promote the autonomy of all human beings and control, in a responsible way, the autonomy of computer systems.

Published by University of Montreal, Forum on the Socially Responsible Development of AI in The Montreal Declaration for a Responsible Development of Artificial Intelligence, Nov 3, 2017

4 SOLIDARITY PRINCIPLE

The development of AIS must be compatible with maintaining the bonds of solidarity among people and generations. 1) AIS must not threaten the preservation of fulﬁlling moral and emotional human relationships, and should be developed with the goal of fostering these relationships and reducing people’s vulnerability and isolation. 2) AIS must be developed with the goal of collaborating with humans on complex tasks and should foster collaborative work between humans. 3) AIS should not be implemented to replace people in duties that require quality human relationships, but should be developed to facilitate these relationships. 4) Health care systems that use AIS must take into consideration the importance of a patient’s relationships with family and health care staff. 5) AIS development should not encourage cruel behavior toward robots designed to resemble human beings or non human animals in appearance or behavior. 6) AIS should help improve risk management and foster conditions for a society with a more equitable and mutual distribution of individual and collective risks.

Published by University of Montreal in The Montreal Declaration for a Responsible Development of Artificial Intelligence, Dec 4, 2018