AI Ethics and Students’ Soft Skills
In the realm of higher education, the integration of artificial intelligence (AI) to enhance university students’ soft skills is a expand frontier. However, the ethical implications embedded within this evolution warrant meticulous consideration.
AI-driven platforms aimed at refining soft skills like communication, presentation, critical thinking, and collaboration carry potential ethical quandaries that demands students’ attention.
One prominent concern revolves around bias within AI algorithms. These systems, when used to evaluate or train soft skills among students, might inadvertently perpetuate societal biases.
For instance, if the AI assesses communication skills based on predetermined cultural norms or language proficiency, it may disadvantage students from diverse backgrounds, hindering inclusivity and equity.
Moreover, the privacy and consent aspects come into concern. AI often collects vast amounts of personal data to tailor its training methodologies. Thus, to ensure transparent data handling practices and obtaining explicit consent from students becomes imperative.
Without robust safeguards, the ethical boundaries of data usage can easily be crossed and damage, potentially leading to breaches of privacy or exploitation.
Another pressing issue is the high dependency on AI for skill development. Relying solely on AI-driven platforms may undermine human interaction, essential for honing certain soft skills.
Overreliance on AI could diminish opportunities for organic, interpersonal growth and limit the depth of emotional intelligence that arises from face-to-face interactions. It is obvious evidence in physical classroom environment.
To navigate these ethical puzzles, universities must institute stringent ethical guidelines governing AI integration. This involves fostering transparency in AI algorithms, conducting regular bias audits, and prioritizing diversity in dataset coordination.
Additionally, promoting a balanced approach that merge AI-driven learning with traditional methods can ensure holistic skill development while preserving the human touch.
Ultimately, as universities harness AI to cultivate soft skills among students, ethical caution must remain at the forefront. Upholding ethical standards in AI utilization is pivotal to harnessing its potential without compromising the integrity of education or perpetuating societal biases.
Thank you.
Authors:
- Ms Siti Balkis Mohamed Ibrahim
- Dr. Nazra Aliff Nazri
Language & General Studies Department,
Faculty of Business & Communication, UniMAP.
