Deconstructing the Semantics of Human-Centric AI: A Linguistic Analysis
Keywords:
Human-Centric AI, Linguistic AnalysisAbstract
In all disciplines, there is a tremendous amount of value in not only developing a common language across a field, but also in constantly expanding and refining that language. This process occurs somewhat naturally within each community, as members collaborate and build upon existing terminology. However, when it comes to technical terms associated with a particular community, we often tend to overlook or leave unexpressed the more intuitive and natural interpretations that exist in the real world. While this approach is certainly necessary for brevity and focus within the limitations of academic spaces, we strongly believe that starting from a common, natural interpretation of certain ambiguous terms can lead to an array of new and intriguing insights and pathways of inquiry within the realm of Artificial Intelligence (AI). Therefore, in this paper, we engage in a rigorous and thought-provoking exercise centered on the term "AI," with a specific focus on the multifaceted roles that humans play in not only defining and developing AI, but also in the subsequent deployment and the far-reaching consequences that arise from humans' interactions with and utilization of AI systems. By adopting a human-centric framing, we center our analysis on the profound impact that human involvement has on AI's core enabling concepts. Through this practice, we aim to shed light on how AI often falls short of the lofty ideals we project upon this remarkable creation. Examining the complex interplay between AI and human beings allows us to delve into the various dimensions at play, unraveling the intricate threads that bind humans and machines together. By doing so, we can gain a deeper appreciation for the intricate dance between humans and AI, acknowledging the nuanced roles and responsibilities that emerge from this symbiotic relationship. Understanding the influence of humans on AI brings forth vital questions about ethical considerations, accountability, and the socio-cultural implications that accompany the development and application of AI. Furthermore, the alignment of AI with human values becomes an essential aspect to explore within this human-centric framework. It is imperative to scrutinize how AI reflects and reifies the beliefs, biases, and limitations of its human creators. Only by acknowledging and grappling with these aspects can we hope to navigate the complexities and challenges inherent in AI development and deployment. By constantly examining and refining our understanding of AI in relation to humans, we pave the way for the creation of genuinely beneficial and ethical AI systems that serve and empower humanity as a whole. In conclusion, this critical examination of AI and its connection to humans serves as a call to action. It invites researchers, practitioners, and policymakers to recognize the pivotal role of a human-centric approach in shaping the future development and deployment of AI. By embracing a holistic understanding of AI that encompasses the diverse perspectives and experiences of humanity, we can strive towards a future in which AI operates in harmony with our collective aspirations, and ultimately, lives up to the ideals we envision for this awe-inspiring creation.
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