If the AI detects a distracted person, it will publicly identify the party by posting the clip” to Twitter and Instagram including the individual’s user handles.
Unlike many previous digital economy or technology strategies, roadmaps and action plans, this one actually has some new money behind it – some $124 million in targeted AI support.
Such a scenario seems to only exist in ‘The Terminator’ Hollywood movie scene, but that is a reality that seems to close in on us daily. Battles are already being fought using automated weapons.
The inherent societal bias has been a significant concern across the healthcare spectrum, especially in the wake of growing economic and social disparity.
The growth of the social media ecosystem and the continuous advancement of AI tools available to disseminate information have increased the tenacity and reach of disinformation attacks.
AI has become ubiquitous and pervasive. Its applicability spans all sectors of our daily interactions. Despite the growing implementation of various AI-driven technologies, laws and regulations have in most part, lagged, creating a legislation loophole.
The use of facial recognition is not all itself bad, but the implications on minority groups are of major concern.
AI surveillance’s ability to monitor and process every frame 24/7, allowing persistent monitoring, gives rise to concerns of a big-brother style mass surveillance and masses’ control.
Experts have questioned the Tinder algorithm concerning its operation, and ethical principles since reports of individual complaints about the algorithm are somewhat biased.
Defence’s challenge is that failure to adopt the emerging technologies in a timely manner may result in a military disadvantage, while premature adoption without sufficient research and analysis may result in inadvertent harms.