The AI Open Suggestion Project aims to clarify the process of building AI by exposing the steps that go into building it responsibly. It is written from the frontlines by the actual builders, users, and stakeholders who have seen the value and damage Artificial Intelligence (AI) can deliver. The goal is to set a healthy tone for the industry while making the process understandable by the public to illuminate how we can build more ethical AI and create a space for the public to freely ask any question they may have of the AI and data science community.

Today we're seeing many doomerism narratives that play into hysteria and obfuscate the structures of AI instead of focusing on clear, accountable communication that enables honest discussion and assists decision making. The creation of AI can be a technically involved process but the standard approaches to teach machines and the outputs created can be monitored and validated in this simple framework that enables everyone to have a seat at the table regardless of a person's data science background.

Now more than ever, it's necessary to share how AI learns so that we can hold each other accountable without severely restricting innovation. The development of AI has the potential to bring about significant benefits, including increased efficiency, improved decision making, health discoveries and the ability to tackle problems that were previously impossible to solve. However, AI can also force human moderators to witness horrible content, disadvantage the disenfranchised, amplify data privacy and safety concerns, steal intellectual property not created for the process, and perpetuate biases that cause harm. Without careful consideration and planning, we risk creating AI systems that worsen the very problems we seek to solve.

Read the entire AI Open Suggestion Framework document by clicking here!

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