©www.JenniferStrangPhotography.com Emmie Li

Emmie Li has spent the majority of her career as a solopreneur in the wellness field and as a program manager and coordinator in the non-profit sector. Her intellectual curiosity brought her to the MA-IS program at AU, and her most recent interest focuses on the way artificial intelligence and robotics intersect social identities and cultural norms. When she is not venturing into BC’s enchanting outdoors, Emmie can be found in quiet meditation or writing.


Title: Should we trust artificial intelligence (AI)?

Abstract: 

Background

As artificial intelligence (AI) adoptions penetrate socioeconomic domains, computerized functions via algorithms advance into automated assessments and decisions; financial merits, self-driving vehicles, and surveillance systems depict digital judgement autonomy that has yielded ethical debates of trust, credibility and responsibility.

Purpose

This paper demonstrates that despite cultural speculations of AI domination, automated decision-makings are largely based on algorithmic efficiency that lacks an interpretational dimension.

Literature Review

As studies on technological impacts and society prove diverse, scoping review and narrative review identified the academic enquires informed by recent industry developments. Sociological and Philosophical literature anchored a theoretical defence to critically analyze AI progress and question its viability from a humanist perspective.

Results

AI’s programmed capacities lack contextual competency and agility. AI developments have aimed at accelerating functional delivery rather than scope expansion. Since AI follows instructions without “comprehension”, entrusting AI with responsibilities beyond calculated and definable results could lead not only to biases but also, a dilution of judgement in decision-making processes.

Implications

AI dominance may not be as compelling as popular culture portrays. If non-organic intelligence circumvents contextual awareness then, the usage of algorithmic assessments in financial merits, automated vehicles, and surveillance systems could deepen social divides and intrinsic prejudices. A rush to proclaim AI breakthroughs and takeovers can perpetuate the socioeconomic conditions of disadvantaged groups, risk road safety, and misconstrue individual identities. Humanity therefore, ought to establish ethical AI adoption intentions and policies in order to achieve a unified and prosperous future.

 


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