The disadvantages of narrow AI
These can include: Limited scope. Narrow AI systems are designed to excel in specific tasks, but lack the ability to adapt to new situations. They operate within predefined boundaries and may struggle when faced with tasks outside their expertise.
Sep 1, 2023
This paper provides a discussion on some issues that need to be addressed to handle potential future risks and provides some new perspectives. The development ...
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However, potential risks such as malfunction, malicious attacks and mismatch of objective can occur from hardware and software failures or design errors.
... Yet, potential risks such as hardware and software failures, design flaws, malicious attacks, and goal misalignment may arise. Moreover, systems controlled ...
Sep 30, 2023 · Relying solely on narrow AI systems without human oversight can lead to errors, inaccuracies, or misinterpretations. It is crucial to recognize ...
Jul 18, 2023 · This House takes note of the ongoing development of advanced artificial intelligence, associated risks and potential approaches to regulation within the UK and ...
Dangers of artificial intelligence include bias, job losses, increased surveillance, growing inequality, lack of transparency and large-scale targeted ...
General AI systems are more prone to unexpected and unwanted behaviour or misuse. This is because of their increased flexibility of interactions.
Besides its limited capabilities, some of the problems with weak AI include the possibility to cause harm if a system fails. For example, consider a driverless ...
We describe three such main ways misused narrow AI serves as a threat to human health: through increasing opportunities for control and manipulation of people; ...