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

Statement

"The global nature of AI risks makes it necessary to recognize AI safety as a global public good"

Principle: IDAIS-Venice, Sept 5, 2024

Published by IDAIS (International Dialogues on AI Safety)

Related Principles

Public Safety Obligation

The Public Safety Obligation recognizes that AI systems control devices in the physical world. For this reason, institutions must both assess risks and take precautionary measures as appropriate.

Published by Center for AI and Digital Policy in Universal Guidelines for AI, Oct, 2018

(preamble)

"Coordinated global action on AI safety research and governance is critical to prevent uncontrolled frontier AI development from posing unacceptable risks to humanity." Global action, cooperation, and capacity building are key to managing risk from AI and enabling humanity to share in its benefits. AI safety is a global public good that should be supported by public and private investment, with advances in safety shared widely. Governments around the world — especially of leading AI nations — have a responsibility to develop measures to prevent worst case outcomes from malicious or careless actors and to rein in reckless competition. The international community should work to create an international coordination process for advanced AI in this vein.

Published by IDAIS (International Dialogues on AI Safety) in IDAIS-Oxford, Oct 31, 2023

· Consensus Statement on AI Safety as a Global Public Good

Rapid advances in artificial intelligence (AI) systems’ capabilities are pushing humanity closer to a world where AI meets and surpasses human intelligence. Experts agree these AI systems are likely to be developed in the coming decades, with many of them believing they will arrive imminently. Loss of human control or malicious use of these AI systems could lead to catastrophic outcomes for all of humanity. Unfortunately, we have not yet developed the necessary science to control and safeguard the use of such advanced intelligence. The global nature of these risks from AI makes it necessary to recognize AI safety as a global public good, and work towards global governance of these risks. Collectively, we must prepare to avert the attendant catastrophic risks that could arrive at any time. Promising initial steps by the international community show cooperation on AI safety and governance is achievable despite geopolitical tensions. States and AI developers around the world committed to foundational principles to foster responsible development of AI and minimize risks at two intergovernmental summits. Thanks to these summits, states established AI Safety Institutes or similar institutions to advance testing, research and standards setting. These efforts are laudable and must continue. States must sufficiently resource AI Safety Institutes, continue to convene summits and support other global governance efforts. However, states must go further than they do today. As an initial step, states should develop authorities to detect and respond to AI incidents and catastrophic risks within their jurisdictions. These domestic authorities should coordinate to develop a global contingency plan to respond to severe AI incidents and catastrophic risks. In the longer term, states should develop an international governance regime to prevent the development of models that could pose global catastrophic risks. Deep and foundational research needs to be conducted to guarantee the safety of advanced AI systems. This work must begin swiftly to ensure they are developed and validated prior to the advent of advanced AIs. To enable this, we call on states to carve out AI safety as a cooperative area of academic and technical activity, distinct from broader geostrategic competition on development of AI capabilities. The international community should consider setting up three clear processes to prepare for a world where advanced AI systems pose catastrophic risks:

Published by IDAIS (International Dialogues on AI Safety) in IDAIS-Venice, Sept 5, 2024

1. Public Trust in AI

AI is expected to have a positive impact across sectors of social and economic life, including employment, transportation, education, finance, healthcare, personal security, and manufacturing. At the same time, AI applications could pose risks to privacy, individual rights, autonomy, and civil liberties that must be carefully assessed and appropriately addressed. Its continued adoption and acceptance will depend significantly on public trust and validation. It is therefore important that the government’s regulatory and non regulatory approaches to AI promote reliable, robust, and trustworthy AI applications, which will contribute to public trust in AI. The appropriate regulatory or non regulatory response to privacy and other risks must necessarily depend on the nature of the risk presented and the appropriate mitigations.

Published by The White House Office of Science and Technology Policy (OSTP), United States in Principles for the Stewardship of AI Applications, Nov 17, 2020

1. Public Trust in AI

AI is expected to have a positive impact across sectors of social and economic life, including employment, transportation, education, finance, healthcare, personal security, and manufacturing. At the same time, AI applications could pose risks to privacy, individual rights, autonomy, and civil liberties that must be carefully assessed and appropriately addressed. Its continued adoption and acceptance will depend significantly on public trust and validation. It is therefore important that the government’s regulatory and non regulatory approaches to AI promote reliable, robust, and trustworthy AI applications, which will contribute to public trust in AI. The appropriate regulatory or non regulatory response to privacy and other risks must necessarily depend on the nature of the risk presented and the appropriate mitigations.

Published by The White House Office of Science and Technology Policy (OSTP), United States in Principles for the Stewardship of AI Applications, Nov 17, 2020