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Answer :
The correct option is c. creation of biased content.
One major ethical concern in the use of generative AI is the creation of biased content.
- Generative AI models, such as ChatGPT, Bard, and Dall-E, learn from large datasets that may contain biases from the real world.
- These biases can be reflected and even amplified in the content generated by AI, leading to unfair or discriminatory outputs.
Here's a detailed breakdown of why this is a significant concern:
1. Bias in Training Data:
- AI models learn from huge datasets that include text, images, and other forms of content.
- If these datasets contain biased information, the AI will reproduce these biases in its outputs.
2. Amplification of Biases:
- Generative AI can unintentionally amplify existing biases, making them more prevalent and harder to notice.
- This can further perpetuate stereotypes and discrimination in society.
3. Impact on Decision Making:
- Biased AI outputs can influence important decisions in areas like hiring, lending, and law enforcement.
- For example, AI-generated recommendations or evaluations may unfairly favor certain groups over others.
4. Misinformation and Trust Issues:
- The ability of generative AI to create convincing yet false statements can spread misinformation.
- People may start to distrust AI systems and the information provided by them, leading to broader skepticism and resistance to technological advancements.
Addressing these ethical concerns requires careful consideration of the data used to train AI models and ongoing efforts to detect and mitigate biases. Implementing guidelines and policies for ethical AI use is essential to ensure fairness and equity in AI applications.
Complete Question:
What is one major ethical concern in the use of generative Al?
a. efficient data storage
b. model interpretability
c. creation of biased content
d. faster model training
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Rewritten by : Jeany
One major ethical concern in the use of generative AI is related to privacy and the potential misuse of personal data. Universities need to establish fair and transparent AI policies to protect personal information. Ethical considerations are crucial to prevent discrimination and ensure equity in educational settings.
One major ethical concern in the use of generative AI is related to privacy and the potential misuse of personal data. Universities, while leveraging AI tools for educational purposes, have to grapple with risks such as data breaches, discrimination, and the lack of transparency in AI algorithms. As AI systems collect and analyze vast amounts of data, they must ensure that privacy and ethical guidelines are rigorously followed to protect students' and staff's personal information. This challenge is compounded by the need to establish equitable and fair AI policies that do not disenfranchise or harm any part of the educational community. Scholars like Facer & Selwyn (2021) argue for the prioritization of ethical and pedagogically-sound approaches to designing AI tools in higher education.
