Problem solved with AI
Week 2 Task
Artificial Intelligence (AI) has become a powerful tool for resolving a wide range of issues in numerous industries. Unfortunately putting it into practice creates a variety of difficulties that need to be solved. First, since AI models depends mainly on data, the quality of the data becomes important since incorrect information might produce inaccurate results (European Union Agency for Fundamental Rights, 2019). In addition, people may find it challenging to understand or trust the decision-making process due to the interpretability of complicated AI models.
Fairness and bias are also major worries since AI systems could accidentally reinforce already existing prejudices in the data, resulting in distinguishing results (Holdsworth, 2023). Additionally, developing AI systems to a large scale without reducing performance and efficiency will causes an issue.
The use of AI is also challenging with ethical and legal concerns. These include concerns about privacy, security, and the possibility of social impacts (UNESCO, 2023). Other than that, it also raise ethical issues that need to be resolved.
In summary, artificial intelligence (AI) offers potential answers to many issues, but it also comes with a number of disadvantages that need to be carefully considered in order to ensure its legal and ethical use. Proactive mitigation techniques therefore become necessary.
Ong Cheng Bin (TP070411)
References:
European Union Agency for Fundamental Rights. (2019). Data quality and artificial intelligence -mitigating bias and error to protect fundamental rights HELPING TO MAKE FUNDAMENTAL RIGHTS A REALITY FOR EVERYONE IN THE EUROPEAN UNION FRA Focus Contents. https://fra.europa.eu/sites/default/files/fra_uploads/fra-2019-data-quality-and-ai_en.pdf
Holdsworth, J. (2023, December 22). What is AI Bias? | IBM. Www.ibm.com. https://www.ibm.com/topics/ai-bias
UNESCO. (2023, April 21). Artificial Intelligence: Examples of Ethical Dilemmas | UNESCO. Www.unesco.org; UNESCO. https://www.unesco.org/en/artificial-intelligence/recommendation-ethics/cases
Europ
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