__________________________________________________________________________________________________________ Robotics
As robotics systems increasingly rely on AI decision-making, researchers are warning that flaws or manipulation in underlying models could lead to unpredictable and potentially hazardous behavior
device data processing. By minimizing data transmission and keeping sensitive information within the robot’ s hardware, companies aim to bolster privacy protections and reduce exposure to breaches. The shift reflects a broader reckoning within the robotics industry: as machines become more perceptive, safeguarding the data they gather is no longer optional- it’ s imperative.
Transparency and accountability – AI black boxes
As AI systems become more deeply embedded in robotics and automation, experts are sounding the alarm over the lack of transparency in decision-making processes. Deep learning models are often described as‘ black boxes’ and can produce results that
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