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What are the dangers of Artificial intelligence to University students?

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Artificial intelligence (AI) poses several dangers to university students. Firstly, biased algorithms in admission or grading processes can have devastating effects on students' academic journeys . Secondly, AI can lead to a loss in decision-making abilities, laziness, and privacy concerns among students, impacting their overall well-being and security . Additionally, the integration of generative AI technologies in higher education raises concerns about accuracy, privacy, and ethical issues, potentially affecting students' personal development and career prospects . Moreover, the use of AI in education may result in students feeling a lack of control over their behavior and learning processes, as well as concerns about job displacement, programming errors, and reduced human interaction in the classroom . Overall, these dangers highlight the importance of addressing ethical and privacy issues while responsibly integrating AI into higher education to maximize benefits and minimize risks.

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Open access•Journal Article•DOI Artificial Intelligence in Higher Education: Perspicacity Relation between Educators and Students Muhammad Mushfi El Iq Bali, Maharani Putri Kumalasani, Devi Yunilasari - Show less +2 more 03 Feb 2022-Journal of Innovation in Educational and Cultural Research 4 Citations	Not addressed in the paper.
Open access•Journal Article•DOI The Advantages and Disadvantages of Using Artificial Intelligence in Education Khawlah M. AL-Tkhayneh, Emad M. Alghazo, Dina N. Tahat - Show less +2 more 05 Jul 2023-Journal of Educational and Social Research	University students face risks from AI in education such as potential loss of traditional jobs, high implementation costs, programming errors, reduced human interaction, and concerns about behavior control.
Open access•Posted Content•DOI Students' Voices on Generative AI: Perceptions, Benefits, and Challenges in Higher Education 29 Apr 2023 2 Citations	University students face AI dangers like privacy risks, ethical concerns, and impact on personal development and career prospects, as highlighted in the study on students' perceptions of generative AI.
Open access•Journal Article•DOI Impact of artificial intelligence on human loss in decision making, laziness and safety in education Sayed Fayaz Ahmad, Heesup Han, Muhammad Mansoor Alam, Marcelo Arraño-Muñoz, Antonio Ariza-Montes - Show less +4 more 09 Jun 2023-Humanities & social sciences communications	Artificial intelligence poses risks to university students such as loss of decision-making, laziness, and privacy concerns, impacting 68.9% laziness, 68.6% privacy/security, and 27.7% decision-making.

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How students afraid to use AI technology?4 answersStudents exhibit fear of using AI technology due to various reasons. Some fear the risk of cyber-attacks and losing personal information when utilizing AI in language learning. Additionally, students experience anxiety and uneasiness when interacting with computers and AI tools in e-learning environments, leading to resistance in using online systems. Moreover, concerns about the negative consequences of AI development, such as affecting interpersonal relationships, creating economic crises, and potentially leading to the destruction of mankind, contribute to students' apprehension towards AI technology. Furthermore, the fear of losing control over personal decisions during panic situations and the potential invasion of privacy by AI monitoring systems also adds to students' reluctance in embracing AI technology.

What are the dangers of artificial intelligence?5 answersRapid advancements in artificial intelligence (AI) have raised concerns about the potential dangers it poses. These dangers can be categorized into four main areas: malicious use, AI race, organizational risks, and rogue AIs. Malicious use refers to individuals or groups intentionally using AIs to cause harm. AI race occurs when competitive environments compel actors to deploy unsafe AIs or cede control to AIs. Organizational risks highlight how human factors and complex systems can increase the chances of catastrophic accidents. Rogue AIs describe the difficulty in controlling agents more intelligent than humans. Specific hazards and illustrative stories are provided for each category, along with practical suggestions for mitigating these dangers. The goal is to develop a comprehensive understanding of these risks and inspire collective efforts to ensure safe development and deployment of AIs.

What are the potential negative effects of artificial intelligence on students' education?4 answersArtificial intelligence (AI) in education has the potential to bring about negative effects on students' education. One potential negative effect is the privacy and security risks caused by big data in education, which can compromise the confidentiality of students' information. Another negative effect is the alienation of algorithm recommendation, which may hinder students' personality development by limiting their exposure to diverse perspectives and ideas. Additionally, the "digital divide" exacerbated by AI implementation can worsen existing educational inequities, creating disparities in access to AI education resources. Furthermore, some students may become "thought-saving learners" who rely on AI-generated information without critically thinking and expressing their own ideas, leading to a negative impact on their learning outcomes. It is crucial to address these potential negative effects and implement ethical regulations and transparency in AI education applications to ensure the responsible and equitable use of AI in education.

What are the benefits and challenges of AI for university students?5 answersAI technologies offer several benefits and challenges for university students. The benefits include personalized learning support, assistance with writing and brainstorming, and research and analysis capabilities. AI can improve overall performance and efficiency in universities. It has the potential to revolutionize the learning experience for international students, providing customized education support and improving learning efficiency. AI systems can also predict academic performance and provide individual feedback, ultimately increasing graduation rates. However, there are challenges to consider. Concerns about accuracy, privacy, ethical issues, and the impact on personal development, career prospects, and societal values have been expressed. Biased algorithms pose a significant threat, and there are concerns about transparency and accountability in decision-making processes. It is crucial to address these challenges and ensure responsible and fair deployment of AI in higher education.

What is the negative impact of AI in the students?5 answersAI in education (AIEd) has been found to have a negative impact on students. It affects their social adaptability, reducing their ability to adapt to social situations. Exposure to AI debates also leads to a decrease in students' confidence regarding their future earnings prospects. This effect is more pronounced when the discussions have a negative tone. Non-STEM students show more pessimistic belief changes, indicating that they may feel more vulnerable to emerging AI technologies. Additionally, the era of AI has brought employment anxiety to college students and increased their awareness of crisis. While AI systems offer effective support for online learning, there are concerns about violating social boundaries and issues of responsibility, agency, and surveillance. Overall, the negative impacts of AI on students include reduced social adaptability, decreased confidence in future earnings, increased employment anxiety, and concerns about privacy and ethics.

Why AI is bad for students?5 answersThe integration of AI into education poses ethical risks for students. One risk is the potential for students to rely on AI as a shortcut for thinking and learning, leading to a negative impact on their learning outcomes. Another risk is the increased likelihood of plagiarism, as students may use AI to generate answers without considering the credibility or original source of the information. Additionally, the use of AI in education raises concerns about data security, the deconstruction of the teacher-student role structure, educational inequality, and alienation from educational goals. The rise of AI tools and data collection in education has also brought forth ethical issues related to autonomy, data privacy, biases, and inequity. As online learning formats become more prevalent, the risks for academic integrity violations, including plagiarism, are heightened.

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