The methods and practices used to create and run artificial intelligence systems in a way that guaranties they carry out their intended tasks without harming people or the environment are referred to as “AI safety.” This entails handling possible dangers related to AI technologies, such as inadvertent behavioral patterns or choices that can have negative consequences.Error prevention, cyber fraud, cyberattacks, and loss of human control are all included in AI safety.The objective is to build AI that is reliable, safe, and consistent with societal norms and human purposes.According to experts, as generative AI (GenAI) models and systems are intended to be extremely autonomous, the scope and significance of AI safety are further broadened within the larger framework of GenAI.
