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Based on the Reading: "Artifical Intelligence is the Future - but it's not Immune to Human Bias"

https://www.macleans.ca/opinion/artificial-intelligence-is-the-future-but-its-not-immune-to-human-bias/
Task: Summarize the article, ""Artifical Intelligence is the Future - but it's not Immune to Human Bias" by Kathryn Hume
Format: APA Style paragraph
Assignment Description:
In a well structured paragraph, summarize Kathryn Hume's article, "Artifical Intelligence is the Future - but it's not Immune to Human Bias"
Your Purpose: Your purpose is to summarize Hume's article so that someone who has never read the article before can read your summary and get a clear idea of what the article is about. This will require you to summarize Hume's purpose, main ideas and most important supporting ideas.
Your Audience: Imagine you are writing your summary to be included in the Seneca Library's online database. The database includes thousands of articles. When students research a topic, they go looking for articles that may help them with their assignments. Instead of reading through hundreds of articles, it is helpful to have a brief description of the article to give them an idea if they should bother reading the full article or not. This is called an abstract. Imagine your summary of John Warner's article is that abstract (brief description of the article).
Your Genre: You are writing in an academic context. You are writing an academic summary. This means that your paragraph should be in proper APA style and that it should follow the conventions of summary writing:
Includes the title of the article
Includes the author of the article
Includes the author's purpose
Includes the author's main ideas
Includes the most important supporting ideas
Is written in your own words
Includes only the author's ideas
Does not include your opinion/analysis/evaluation of the article
Your Language and Tone: Write in complete sentences. Ensure your paragraph includes an introductory sentence, support sentences and a concluding sentence. Use formal language (no first person) that is appropriate to the context of academic writing. Remember you are meant to be writing for the Seneca College Library, and that your summary is intended for students in an academic setting. Most importantly, your summary should be written in your own words. This is important for two reasons: 1. You want to maintain a coherent voice (you want your paragraph to flow); 2. You only have limited space to write, and by using long quotations from the original, you may be wasting that space.
Identifying main ideas and support ideas: Focus on restating John Warner's purpose, main ideas and support ideas. Ask yourself: Why did they write this? To inform? To persuade? To argue? To show? Next, ask: What is the thesis? What is his solution to the problem? By answering these questions, you will be able to narrow down his purpose and main idea. Lastly, ask: How does the writting support the thesis? What key supporting points does he make in order to prove his main ideas? You will need to make choices about what not to include in your paragraph. By focusing on the above questions, you will be able to leave out information that is not absolutely necessary for completing your summarizing task.

User Scabbia
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1 Answer

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The article focuses on three aspects, "The first happens when a minority population is poorly represented in a data set used to train an algorithm." Secondly, "when features in data are closely correlated to one another, it makes it impossible to overcome bias by simply removing information like gender or race from the equation." the third is, "when human judgment and bias are encoded into the training data itself. Remember that supervised-learning algorithms learn by iterating variations of a mathematical function until it does a good enough job representing the relationship between data."

Existing studies' efforts to conquer statistical bias will optimistically bring about sound, open-supply answers in 2018. But figuring out and extracting bias baked into the manner in which those algorithms are skilled can be a sensitive and diffuse task. We may also, in the end, want to reframe how we consider the function many AI types of equipment play in society—viewing them no longer as impartial equipment, but as convex mirrors that quantify our very own biases, inequalities, and prejudices. We have the choice to alter the mathematics at the back of AI algorithms to achieve the destiny we want, however simplest, if we first have the braveness to face the difficult truths of our present.

Step-by-step explanation:

User Mayur More
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