Digital Future: Introspection - AI Module, University Name

This assignment explores the multifaceted impacts of automation and artificial intelligence on society. It delves into how automation technologies might affect vulnerable groups, examining both potential benefits and risks, such as the impact on women's roles and the need for careful implementation. The assignment further discusses the implications of decision-making robots and algorithms, considering both their advantages in efficiency and their potential ethical challenges. It also examines the personal consequences of using technology, specifically focusing on the potential health risks associated with devices like smartwatches, including data integrity and radiation concerns. The assignment references scholarly works to support its arguments, providing a comprehensive overview of the ethical, social, and technological aspects of the digital future.

Running head: DIGITAL FUTURE: AN INTROSPECTION
DIGITAL FUTURE: INTROSPECTION
Name of the student
Name of the university
Author Note

1DIGITAL FUTURE: INTROSPECTION
1. Can you think of any ideas that we might take advantage of to ensure that automation
technologies are implemented with the minimum impact on vulnerable social groups?
Automation of technologies is a reality in the twenty first century. The society has always
progressed in terms of science and technology till date and therefore, it has created a
plethora of opportunities for every sections of the society. However, the question lies that
weather the marginalized sections of the society, such as the working class and the
women might be benefitted by the automation of the technologies or not. The researches
say that since women have been caged into the four walls of home, where they have been
bestowed with all kinds of unproductive domestic chores, the automation of technologies,
such as automatic washing machines and microwave ovens would lead them to lessen
their work burden and concentrate more on the outside work, such as economic activities
and educational activities that might bring financial incentives for them. However, certain
researches suggest that it might actually lead to worsen the situation as women would
tend to become obese with the lack of physical labor that they give due to technological
automation (Webster, 2014).
Can you think of some ways that giving over decision-making to robots and algorithms
might have consequences for society? What about for work and workplaces?
The decision making robots and algorithms might prove to be both positive and negative
for the society. Robots have proved to be the inevitable outcome automation and
development of the technologies. However, decision making robots might prove harmful
in certain sensitive areas where decision making is not always applicable, such as in
medical ethics. However, decision making robots with artificial intelligence put in them

2DIGITAL FUTURE: INTROSPECTION
have been a boon to the society for its highly optimized work and services (Lutze and
Waldhör, 2015).
Can you think of a technology that you use for personal purposes and how it might (like a
smart watch) have negative consequences for your health?
Technological gadgets such as smart watches can be harmful for us. Frequencies
(Bluetooth or WiFi) used by smartwatches might not cause physical damage to an
individual’s health, but it can interfere with the integrity of his or her data. On the other
hand, research also suggests that smartwatches give off harmful radiations, most likely,
the radioactive radiations that are not safe for the health of an individual. Therefore, such
gadgets should be highly avoided (Lin, Abney and Bekey, 2014).

3DIGITAL FUTURE: INTROSPECTION
References:
Webster, J., 2014. Shaping women's work: Gender, employment and information technology.
Routledge.
Lin, P., Abney, K. and Bekey, G.A., 2014. Robot ethics: the ethical and social implications of
robotics. The MIT Press.
Lutze, R. and Waldhör, K., 2015, October. A smartwatch software architecture for health hazard
handling for elderly people. In 2015 International Conference on Healthcare Informatics
(pp. 356-361). IEEE.