Robust security: since AI works with sensitive data and makes its decision based on it, all systems should be extremely secure and accurate. This means they have to be strong in the face of external attacks and reliable on their decision-making process.
Private data: the security impacts
The collected data since it should country email list ensure. All information that’s gathered is private and stays that way.
Transparency: AI systems, even the more complex ones, should be easily understandable by any human. Companies using them should explain how the AI software works and makes. Its decisions and make it crystal clear for the end-users to understand. All AI systems should be available for all humankind regardless of age, gender, race, or any other characteristic. Additionally, none of those characteristics should be used to bias the results and decisions made by the AI.
Societal well-being:
AI systems should pursue any goal as long this can take two forms. on one hand as they enhance positive social change. Accountability: everything related to the AI’s actions should be auditable. The idea is to ensure the negative impact of these systems is kept to a minimum. Additionally, this also means that any negative impact that might appear should be reported in due time.
Rising to such a challenge won’t be easy
As governments struggle to keep the pace of AI’s extremely dynamic. Development and companies hold onto their power over those sault data advancements. The proposed core values seem like nice guidelines to start with – but today this feels more like a utopia than a reality.
In that sense, they feel closer to the over simplistic Asimov rules than to a ripe framework for ethics in the AI era. However, they share the writer’s intent of controlling the development of artificial intelligence so it doesn’t end up being just a tool for profit and control but rather an advancement for all people.