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As AI continues to rapidly evolve, it brings incredible opportunities—but also significant risks. From bias in decision-making to job displacement and data privacy concerns, the challenges are real. It is important to understand the inherent risks and criticisms of AI to ensure ethical, safe, and responsible utilization.
AI comes with a range of risks, some are immediate and practical, while others are more long-term and speculative. Here are the major risks of AI:
Hallucination, misinformation, and deepfakes
AI can generate convincing fake content such as text, images, and videos which can be used to manipulate public opinion, spread false news, or commit fraud.
Bias and discrimination
AI can reflect and amplify biases in the data they’re trained on, leading to unfair outcomes.
Privacy invasion and security breach
AI can collect datasets sometimes without proper user consent. Attackers may trick AI models to poison or retrieve training data.
Right infringement and legal violation
AI can cause infringement of human rights and laws, such as Intellectual Property (IP) infringement, defamation, contractual and licensing violations.
Lack of transparency
Many AI models are "black boxes," meaning it is difficult to understand how decisions are made, which in turn obscures where the responsibility lies.
Job Displacement
AI automation can replace human labor in industries like manufacturing, customer service, and even white-collar jobs like legal or medical analysis.
To avoid the potential risks of AI, it is important not to place complete trust in AI or rely on it entirely. The following risk mitigation strategies will help make effective use of AI capabilities:
Do not input personal or confidential information into AI.
Perform fact-checking and ensure that the final decision is made by a human.
Carefully check whether the AI output infringes on the rights or dignity of others.
Understand the limitations and weaknesses of AI tools, and determine whether it is appropriate to use AI in a given situation.
Criticisms
Criticisms
Despite its benefits, AI adoption in education raises several concerns that must be addressed. Here are 3 criticisms to be taken into consideration:
Excessive reliance on AI
There are criticisms that the introduction of AI may hinder the development of students' critical thinking and problem-solving abilities. Furthermore, over-reliance on AI could have a negative impact on the development of their social and communication skills. BaiSE introduces various use cases where learners design their learning in collaboration with AI, while avoiding excessive dependence on it.
Impact on professional autonomy of educators
There are concerns that as AI becomes more widely implemented, the role of teachers may become limited or even unnecessary. However, BaiSE is designed not to replace educators but to serve as a force multiplier, enhancing efficiency while ensuring teachers retain full control over how and when AI tools are used.
Exacerbation of educational disparities
Underfunded schools may struggle to allocate resources for AI implementation, while rural and remote institutions often face infrastructure barriers, such as limited broadband access and outdated devices. Additionally, disparities in professional development opportunities mean that educators in well-resourced schools receive structured AI training, while others must navigate adoption independently. BaiSE, as a free AI education platform, provides educators with professional development training and opportunities to learn within BaiSE community.
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