01. Faimess and equality
Al systems should treat everyone fairly and avoid affecting similarly siltusted groups of people (based on race, sex, demography, age, gender, ethnicity, and disabilities) in different ways.
02. Inclusivity and non-discrimination
Al systems should not deny opportunity to a qualified person based on their identity. It should ensure that unfair exclusion of services or benefits does not happen.
03. Reliability and safety
Al systems should operate reliably, safely, & consistently. Al systems should be able to operate as they were originally designed, respond safely to unanticipated conditions, and resist harmful manipulation.
04. Security and privacy
Al security helps in protecting Al systems and their valuable insights from attacks and weaknesses. Al privacy is the set of practices & concerns centered around the ethical collection, storage, and usage of personal information by Al systems
05. Intellectual property
Ensure that Al systems are not infringing IP, Parents, Copyright etc. When they are using information from IP, it should be clearly mentioned to avoid any infringement.
06. Regulations and compliance
Nations across the world are thinkong how to regulate. Al so that it’s used only for the betterment of human rase. This Includes USA, EU A Ad. China and few other countries
07. Transparency, explainability and interpretability
Al systems should be explainable, interpretable, auditable, traceable and debug enabled. It should be transparent to stakeholders and open for governance.
08. Protection and reinforcement of positive human values
Lastly Al systems should be built to ensure protection and reinforcement of positive human values. Al systems should not be used for harm against human.
09. Accountability
The people who design and deploy Al systems must be accountable for how their systems operate. Organizations should draw upon industry standards to develop accountability norms. These norms can ensure that Al systems aren’t the final authority on any decision that affects people’s lives.
10. Governance
Set of processes, policies, and tools that bring together diverse stakeholders across data science, engineering, compliance, legal. and business teams to ensure that Al systems are built, deployed, used, and managed to maximize benefits and prevent harm.
