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1 page/≈275 words
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Style:
APA
Subject:
Business & Marketing
Type:
Coursework
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English (U.S.)
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Topic:

Managing Big Data: Safe Spaces and Eliminate Biases in AI Systems

Coursework Instructions:

Managing Big Data Article Review Question Problem
Article Review Question
There are 3 links and 2 PDF in the attachments you might find help to answer following questions.
1. https://www(dot)theepochtimes(dot)com/chinas-embrace-of-blockchain-is-a-warning-shot-to-the-west_3135660.html
2. https://scottlocklin(dot)wordpress(dot)com/2020/01/27/ten-predictions-for-2030/
3. https://mediawell(dot)ssrc(dot)org/2019/11/15/we-teach-a-i-systems-everything-including-our-biases-the-new-york-times/
Answer three:
1) What makes "safe spaces" on the Internet particularly unsafe? How does blockchain differ from the "safe space" strategy?
2) Scott Locklin this week argues several controversial points. Choose his argument about data science, artificial intelligence, privacy, or quantum computing and make the case that he is wrong, in four or five sentences.
3) Describe a strategy to eliminate biases in AI Systems. Why did Google have such difficulty with "gorillas?"
NEED TO SUMBIT ON THE Turnitin. Will check similarity.
Submission will be sent to Turnitin to be electronically reviewed for plagiarism.
Make sure you did your own work, use your own language to answer all the questions CORRECT.

Coursework Sample Content Preview:

Managing Big Data Problem
Student’s Name
University
Course
Professor
Date
Managing big data
Safe spaces and block chain
There are various computer software such as Google, Facebook, Amazon, and Apple, which charter rights that allow the locked-in users to modify and protect their privacy, stop spam, and create legit identities; hence creates a safe space. However, safe spaces are unsafe. With the extensive use of online services, huge amounts of data are stored in a centralized model that puts the entire internet at risk due to the vulnerability of data hacking. On the other hand, blockchain uses a block stack that stores personal data, crucial IDs, and complex computations in a secure and entrenched database.
Scott Locklin Arguments
Locklin predicts that there will be destruction in the Artificial Intelligence entities in the near future since there will be zero profitable companies established around machine learning (Locklin, 2020). He also predicts that new ideas will be formulated due to the accruement of experts and data analysis which will be ignored. Additionally, he suggests that more murder and kidnapping crimes are likely to be caused by the tracking s...
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