Democratize AI Access

Standards lower the entry barriers to smaller entities and researchers, allowing a wider range of stakeholders to develop and deploy AIS technologies. This helps to democratize access to AIS, preventing monopolistic control by a few large corporations. Increased access can lead to more diverse innovation, addressing broader societal issues and needs, thus fostering a more inclusive AIS ecosystem.

Ensure Ethical Governance

Standards can directly support the integration of ethical considerations into the core framework of AI systems, making ethics a foundational component rather than an afterthought. This includes privacy protection, fairness, and accountability.  Prioritizing ethical AIS standards will help ensure respect for human rights and societal norms, reduce the risks of bias, discrimination, and other harmful outcomes, and foster public trust in AIS technologies.

Enhance Societal Well-being

While standards alone cannot enhance societal well-being,  Standard-based systems will exclusively and explicitly be designed to ensure that they positively impact various sectors, such as healthcare, transportation, and public safety. Standardized AI systems are more likely to be reliable and safe, contributing to societal well-being by enhancing services and protections offered to the public.

Mitigate AI Risks

Standards can emphasize robustness and security in AI systems, aiming to reduce vulnerabilities that can lead to unexpected behaviors or misuse. Mitigating risks is crucial for avoiding potential negative consequences of AIS. By addressing these risks, Standards support the responsible deployment of AIS technologies.

Support Sustainable Development

The identification and prioritization of standards-based application development can support sustainable development goals (SDGs) if they encourage the development of solutions that address environmental challenges, enhance resource efficiency, and improve economic outcomes. Standards can potentially significantly advance sustainability efforts by facilitating improvements in precision agriculture, optimized energy use, and reduced waste.

Facilitate Global Collaboration

Standards encourage global collaboration in AI development and deployment by providing a common framework that transcends national boundaries. This global approach can help harmonize efforts to tackle universal challenges such as climate change, health crises, and international security, making AIS a key player in global governance and cooperation.