Artificial intelligence
Technology has made an indelible mark on human life. Its impacts on humanity have been both negative and positive in equal measure. Ranging from ease in communication, tracking and security, to spying and breaches in privacy, technology has demystified and exposed every cranny of human existence. Secrets are no longer safe, especially with digital devices, which can be remotely controlled and manipulated at will. Research is however, still rife and growth opportunities and potential in technology is immense.
In spite of the timely integration of artificial intelligence in business, manufacturing and the transport industry, particularly motor vehicle manufacturing industry, various concerns need to be addressed. Automatic cars enable the drivers to complete multiple tasks while driving under the help of computer programs. These programs not only steer the vehicle but require pertinent user information including, real time locations which can be used, covertly, to predict an individual’s routine (Chin, 2014). Additionally remote access and control of these vehicles can instigate several malicious but unnoticeable accident trends by the manufacturers. Manufacturers are then faced with the ethical question of whether artificial intelligence integration in vehicle transport is of age and safe.
Artificial intelligence may appear trendy, but should never be accorded with unsupervised autonomy in management of human and social issues. Like any machine or program, artificial intelligence is prone to cyclic internally generated noise. Chin notes that delegating decisions native to human beings to machines eliminates a sense of responsibility and accountability. He further notes that in the event of an accident, who should be held responsible? (Chin, 2014). Furthermore split-second decisions based on situational assessment of cannot be executed by machines (Brunstein , 2014). Such situations include choosing among multiple inescapable fatality situations.
References
Brunstein , J. (2014). Self-driving cars will mean more traffic. Retrieved from Bloomberg: http://www.bloomberg.com/bw/articles/2014-07-21/self-driving-cars-will-mean- more-traffic
Chin, R. (2014). Driverless cars- the future of transport in cities ? (T. Guardian, Producer) Retrieved from http://www.the guardian.com/sustainable-business-driverless- vehicles-future-car-sharing