technical limitations in AI

Technical limitations in AI refer to the constraints that prevent artificial intelligence systems from achieving their full potential. These limitations include issues like insufficient data quality, lack of computational power, algorithmic biases, and difficulties in understanding and mimicking human emotions and reasoning. Overcoming these challenges requires ongoing research, development, and ethical considerations to create more robust and reliable AI systems.

What are the potential risks and challenges associated with AI adoption?

AI adoption brings numerous potential risks and challenges. Some of the major risks and challenges include ethical considerations, job displacement,…

8 months ago