Global AI Safety: Scientists Can Move The Needle

Amid global uncertainties on the state of AI safety, divergence between national frameworks, and strains on international cooperation, scientist-to-scientist dialogue can depoliticize, improve the inclusivity of global conversations, and advance shared understandings of the science itself. 

AI Safety Is Political

AI demands global governance. However, there is no global consensus on AI safety: its definition, benchmarks, or achieving it. As states develop and implement their AI governance frameworks, it is increasingly evident that national definitions of ‘safety’ are diverse, reflecting distinct political values and priorities.

There have been bold efforts towards improving convergence and interoperability between varied approaches to AI, such as the recently announced international network of AI safety institutes. But efforts still have a long way to go, both between like-minded democracies and between states with different political systems.

For example, Canada, the US, UK and EU share risk-based, human-centric governance models for AI, rooted in rights and democratic values. They benefit from existing mechanisms for improved coherence. For instance, Canada’s AI governance model will have interoperability built-in, having borrowed language from the EU’s Digital Services Act.

Despite important similarities in their risk-based approaches, they still differ in how levels of risk are defined and the type of obligations on AI model developers.
  
Different still is China’s approach to AI, which more explicitly defines risks in terms of sovereignty, social stability and national security. The recent Shanghai Declaration sets out their vision for global AI cooperation. However, different approaches to AI safety do not preclude cooperation: for instance, China has participated in the two AI safety summits and bilateral meetings with the US in April. States will never fully align on a single definition of AI safety, not only due to political differences but also because safety – as a practice and objective – is no monolith.

Benchmarks and standards for safe, responsible AI shift as the science develops. Technical standards for managing risk must be updated as the technology advances, as should socio-technical safety evaluations.

In addition, binding and non-binding national frameworks alone are insufficient to tackle risks with cross-border impacts, like misuse. Harmonization between governance models and improved interoperability between standards and benchmarks are needed. Achieving this is a challenge, but not an insurmountable one. State-led efforts for global governance cannot escape politicization, even when working towards global, shared objectives. In contrast, scientist-led exchanges in AI and other fields have demonstrated their power to depoliticize global safety discussions, improve global inclusivity, and move the needle on collaboration.

Scientific Consensus Has Power

Historically, scientist-led venues have a track record in working across borders to achieve progress on thorny, collective global problems. This is largely because these venues are evidence-driven, and scientists are comfortable expressing uncertainty and handling scrutiny: more so than political leaders under more pressure to express certainty.

The Intergovernmental Panel on Climate Change (IPCC) is a strong example, offering states regular, evidence-based scientific information, used to develop policy. Recent scientist-led work by the National Academies of Science, Engineering and Medicine has assessed the state of global risks and risk analysis methods of nuclear war and terrorism.

One of AI’s most promising scientific exchanges is ongoing: under the helm of leading AI scientist Professor Yoshua Bengio, global scientists worked together on the inaugural (interim) International Scientific Report on the Safety of Advanced AI, released alongside May’s AI Summit in Seoul.

This was an unprecedented, historic step towards developing a realistic, evidence-based and internationally-shared scientific understanding of AI safety. The report welcomed contributions from scientists from 30 countries, ranging from Japan and the UK to China and Saudi Arabia. It was apparently developed by consensus and does not shy away from highlighting uncertainties about the state of AI capabilities, risks and risk mitigations. The report underscores how the complexity of general-purpose AI systems makes it difficult to conduct thorough evaluations. It doesn’t push a single definition of AI safety.
 
Scientist-to-scientist collaboration has the potential to not only depoliticize global AI safety conversations, but also to improve the global inclusivity of these conversations.

However, looking ahead, the potential of these exchanges will be contingent on how their findings are channelled into concrete policymaking.

Looking Ahead

International institutional arrangements for global collaboration on AI continue to take shape. From high-level gatherings to science-to-policy mechanisms, there are several opportunities for global AI policymakers to benefit from inclusive, scientist-led efforts. However, policymakers must remain clearheaded: as evidenced by digital technical standards proposals, scientific venues are not inherently free from political influence. What’s more, some scientists carry their own political bias into their work. Policymakers can co-opt, re-frame or even blame ‘independent’ expertise to serve varied political agendas.

AI demands globally inclusive governance. Summit organizers (like the forthcoming Paris AI Summit) must commit to meaningful inclusivity, recognizing that global problems demand collective responses based on diverse inputs.
 
High-level gatherings are still dominated by a handful of states, companies, and technology thought leaders. Opening the doors for diverse, scientific inputs will not only improve inclusivity, but also buy-in. The International Scientific Report’s May launch at Seoul is a strong example of building these channels.

Scientist-led and -inclusive exchanges can enable dialogue alongside geopolitical rivalry, as evidenced by a Beijing-hosted high-level dialogue on AI safety in March, which brought together Western and Chinese AI scientists to discuss ‘red lines’ and called for global cooperation. 

However, high-level gatherings are not the full picture. There are already several promising mechanisms for science-policy exchanges, like the Global Partnership on AI and the OECD AI Policy Observatory. Policymakers should draw from this repository of expertise; for example, on where functional equivalence is possible between risk management approaches.

Looking ahead, the UN’s Global Digital Compact also commits to launching an International Scientific Panel on AI, tasked with conducting multi-disciplinary, evidence-based impact and risk assessments.

As the International Scientific Report continues its work defines its future institutional ‘home’, bolder steps are needed towards including a more diverse range of scientific expertise (from under-represented disciplines, like climate experts) and states (from the Global Majority, or without a defined AI framework).

Similar actions should be mirrored by the AI safety institute network as it advances the science of AI safety, improves interoperability and information-sharing. As it develops, it must also grow, advancing a reliable, shared understanding of the state of risk by drawing from diverse inputs and protecting the independence and resourcing of scientist-led exchanges.

Isabella Wilkinson is Research Fellow, Digital Society Initiative at Chatham House

Image: Philip Oroni

You Might Also Read: 

Important Differences Between Different Types Of Artificial Intelligence [extract]:

DIRECTORY OF SUPPLIERS - AI Security & Governance:


If you like this website and use the comprehensive 7,000-plus service supplier Directory, you can get unrestricted access, including the exclusive in-depth Directors Report series, by signing up for a Premium Subscription.

  • Individual £5 per month or £50 per year. Sign Up
  • Multi-User, Corporate & Library Accounts Available on Request

Cyber Security Intelligence: Captured Organised & Accessible


 


 

« High Stakes: Business Email Compromise
Beware Of Online Rental Scams »

CyberSecurity Jobsite
Perimeter 81

Directory of Suppliers

Jooble

Jooble

Jooble is a job search aggregator operating in 71 countries worldwide. We simplify the job search process by displaying active job ads from major job boards and career sites across the internet.

Authentic8

Authentic8

Authentic8 transforms how organizations secure and control the use of the web with Silo, its patented cloud browser.

Resecurity, Inc.

Resecurity, Inc.

Resecurity is a cybersecurity company that delivers a unified platform for endpoint protection, risk management, and cyber threat intelligence.

XYPRO Technology

XYPRO Technology

XYPRO is the market leader in HPE Non-Stop Security, Risk Management and Compliance.

AV Test

AV Test

The AV-TEST Institute is a leading international and independent service provider in the fields of anti-virus research and IT security.

ControlCase

ControlCase

ControlCase provide solutions that address all aspects of IT-GRCM (Governance, Risk Management and Compliance Management).

KoolSpan

KoolSpan

KoolSpan’s security and privacy solutions address the growing threat of loss or theft of intellectual property, information, and proprietary assets.

Information-Technology Promotion Agency (IPA) - Japan

Information-Technology Promotion Agency (IPA) - Japan

IPA is an implementing agency in Japan with a role to address Information Security, IT Systems Reliability and IT Resource Development.

Giesecke+Devrient (G+D)

Giesecke+Devrient (G+D)

Giesecke+Devrient develop security technologies in four major areas: enabling secure payment, providing trusted connectivity, safeguarding identities and protecting digital infrastructures.

Deep Instinct

Deep Instinct

Deep Instinct provides comprehensive defense that is designed to protect against the most evasive unknown malware in real-time, across an organization’s endpoints, servers, and mobile devices.

Digital Security

Digital Security

Digital Security is an Ecuadorian company specialized in providing comprehensive information security solutions.

ZecOps

ZecOps

ZecOps is a cybersecurity automation company offering solutions for servers, endpoints, mobile devices, and custom devices.

ACA Group

ACA Group

ACA Group are a leading governance, risk, and compliance (GRC) advisor in financial services.

Uptycs

Uptycs

Uptycs combines the open source universal agent, osquery, with a scalable security analytics platform for fleet visibility, intrusion detection, vulnerability monitoring and compliance.

Internet Security Research Group (ISRG)

Internet Security Research Group (ISRG)

ISRG's mission is to reduce financial, technological, and educational barriers to secure communication over the Internet.

Cyber Readiness Institute (CRI)

Cyber Readiness Institute (CRI)

At the Cyber Readiness Institute, our mission is simple: empower small and medium-sized enterprises with free tools and resources to help them become more secure and resilient.

Appsian Security

Appsian Security

Appsian provides powerful solutions that help organizations take control of their business critical data and financial transactions.

NetCentrics

NetCentrics

NetCentrics leverages an innovative, agile, ‘what’s-next’ approach to our customers’ IT and cyber challenges.

Highen Fintech

Highen Fintech

Highen is a blockchain software development company with offices in the United States and development centers in India.

SecZone

SecZone

SecZone is a Chinese enterprise with a mission to "Make It Secure." We are dedicated to driving software security innovation globally.

Centum Digital

Centum Digital

Centum Digital provide services, products and solutions specialized in communications engineering, control and signal intelligence.