IELTS Free Online Writing Practice - The importance of algorithmic transparency in decisionmaking processes

IELTS.WORK Free Online Writing Practice # 1710913818

Topic: The importance of algorithmic transparency in decision-making processes


Question: To what extent do you agree or disagree with the statement that "algorithmic transparency is crucial for effective decision-making processes in various sectors, including government, business, and healthcare"? Discuss your viewpoint and provide relevant examples to support your argument.

Model Answer:
In recent years, algorithmic transparency has become a significant concern for various sectors such as government, business, and healthcare. This essay will argue that algorithmic transparency is indeed crucial for effective decision-making processes in these sectors.

Firstly, algorithmic transparency ensures accountability and responsibility within an organization or institution. In the case of the government, algorithms used for decision-making processes such as tax collection, public service allocation, and resource management should be transparent to prevent misuse of power and corruption. For example, in India, the Aadhaar system uses a unique identification number to deliver benefits directly to recipients' bank accounts, reducing the chances of fraud and misappropriation.

Secondly, algorithmic transparency promotes trust among stakeholders. In business, algorithms used for hiring practices, customer targeting, or product recommendation should be transparent to build credibility with employees, customers, and investors. For instance, Amazon has recently introduced "Amazon Augmented Cashier" (AAC), an AI-based technology that reduces the need for human cashiers in stores. Transparency in this case ensures that customers feel comfortable with the technology and are more likely to trust the company's decision-making processes.

Lastly, algorithmic transparency is essential in the healthcare sector to ensure that decisions made by algorithms are ethical and unbiased. For example, algorithms used for diagnosis or treatment planning should be transparent so that medical professionals can evaluate their accuracy and reliability. The use of AI in diagnostics has significantly increased in recent years, with algorithms like IBM's Watson Health assisting in the early detection of diseases. However, these algorithms must be transparent to prevent biased outcomes due to factors such as race or socio-economic background.

In conclusion, algorithmic transparency is a crucial aspect of effective decision-making processes across various sectors. Ensuring that algorithms are transparent not only promotes accountability and responsibility but also fosters trust among stakeholders. As we continue to rely on algorithms for critical decision-making, it is essential to maintain transparency in their development and implementation to guarantee ethical and unbiased outcomes.

Score: Band 9 - The response demonstrates a clear understanding of the topic and provides relevant examples to support the argument. The essay structure and grammar are accurate, and the essay flows logically from one point to another.

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