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AI & Data Literacy
AI & Data Literacy

AI & Data Literacy: Empowering Citizens of Data Science

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AI & Data Literacy

Summary

In this chapter, we have seen that with the rise of AI and data, there is a need for AI and data literacy to understand and intelligently discuss the impact of AI and big data on society. The challenges and risks of AI include concerns about surveillance, manipulation, and unintended consequences, which highlight the importance of AI ethics and the need for responsible and ethical AI deployment.This emphasizes the need to train individuals to become Citizens of Data Science in order to thrive in a data-driven world dominated by AI models. We proposed an AI and Data Literacy Framework consisting of six components, including data privacy, AI techniques, informed decision-making, statistics, value engineering, and AI ethics, to provide guidance and education for responsible and ethical engagement with AI and data.We ended the chapter with a homework assignment to measure our current level of AI and data literacy. We will do the homework assignment again at the end of the book to...

References

  1. Harvard Business Review. Data Scientist: The Sexiest Job of the 21st Century by Thomas Davenport and DJ Patel, October 2016: https://hbr.org/2012/10/data-scientist-the-sexiest-job-of-the-21st-century
  2. The Economist. The world’s most valuable resource is no longer oil, but data, May 2017: https://www.economist.com/leaders/2017/05/06/the-worlds-most-valuable-resource-is-no-longer-oil-but-data?
  3. Blueprint for an AI Bill of Rights: https://www.whitehouse.gov/ostp/ai-bill-of-rights/
  4. Apple Plans to Have iPhones Detect Child Pornography, Fueling Privacy Debate, Wall Street Journal, Aug. 5, 2021
  5. Artificial intelligence will help determine if you get your next job: https://www.vox.com/recode/2019/12/12/20993665/artificial-intelligence-ai-job-screen
  6. LinkedIn 2018 Report Highlights Top Global Trends in Recruiting: https://news.linkedin.com/2018/1/global-recruiting-trends-2018
  7. Employers Embrace Artificial Intelligence for HR: https://www.shrm.org/ResourcesAndTools/hr-topics/global...

How is data collected/captured?

As if organizations didn’t capture enough data, organizations deployed the Internet of Things (IoT) to capture even more granular, low-latency customer and operational data. Add to the IoT data the ability to buy additional customer data from third-party aggregators, and these organizations were able to paint a very complete picture of their customers and how those customers interacted with their organizations.

Let’s look at how these massive advancements impact data collection as a whole.

Sensors, surveillance, and IoT

IoT refers to the utilization of sensors, processing capabilities, software, and various technologies in physical objects. These objects are interconnected and share data with other devices and systems over the Internet or other communication networks.

Our smartphones send out a steady stream of data to the vendors of the smartphone apps regarding where you are, what you are doing, and what you might be...

Understanding data privacy efforts and their efficacy

As discussed in the previous section, organizations, agencies, and third-party vendors are gathering and integrating data emitted from our daily activities. And they are using this treasure trove of data about us to influence our decisions, actions, and beliefs. Seems like the odds are stacked against the average citizen. However, government agencies around the world are trying to level the playing field and help to protect our data privacy.

Data protection and privacy laws

Governments worldwide are scrambling to avoid an avalanche of personal data privacy issues. Therefore, there are several regulatory efforts underway to try to protect your privacy, including:

  • The General Data Protection Regulation (GDPR) was introduced in 2018 by the European Union (EU) on data protection and privacy in the EU and the European Economic Area. The GDPR is essential to EU privacy law and human rights law.
  • The California...

How organizations monetize your personal data

We mentioned in the previous chapter that “data is the new oil”. In the same way that oil drove economic growth in the 20th century, data will be the fuel that drives economic growth in the 21st century.

Companies collect and analyze your personal data with the objective of influencing your perspectives, decisions, and actions. Companies such as Facebook, Google, Amazon, Netflix, and Spotify monetize your data by uncovering the individual propensities and tendencies buried in your data and then using those personal propensities and tendencies to influence your purchase and usage decisions… and sometimes even your opinions.

Figure 2.9 shows how Google leverages your free search requests to create a market for advertisers willing to pay to place their products and messages at the top of your search results.

Figure 2.9: Data flows in a typical real-time bidding system (taken from eff.org/deeplinks/2020...

Summary

In this chapter, we explored the differences between data and big data, and how organizations use your personal data to understand your tendencies and propensities. We discussed how technologies such as the IoT and third-party data aggregators capture and analyze your transactions and activities to learn even more about your personal tendencies and propensities. We then explored data privacy efforts, both at the federal and state government levels to protect your data privacy, and how some organizations can just decide to ignore those protections for their own nefarious means. We wrapped up the chapter with a look at how one leading data monetization company – Google – provides free services in exchange for your data, which they subsequently monetize in a number of perfectly legal ways.

So, how can one protect themselves from being abused by their own data? The first step is awareness and vigilance. We must always be aware of how organizations capture and...

References

  1. New York Times. We Read 150 Privacy Policies. They Were an Incomprehensible Disaster: https://www.nytimes.com/interactive/2019/06/12/opinion/facebook-google-privacy-policies.html
  2. Mobile Privacy. What Do Your Apps Know About You?: https://symantec-enterprise-blogs.security.com/blogs/threat-intelligence/mobile-privacy-apps
  3. TechCrunch. Judge orders Amazon to turn over Echo recordings in double murder case: https://techcrunch.com/2018/11/14/amazon-echo-recordings-judge-murder-case/

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Key benefits

  • Prepare for a future dominated by AI and big data
  • Enhance your AI and data literacy with real-world examples
  • Learn how to leverage AI and data to address current and future challenges

Description

AI is undoubtedly a game-changing tool with immense potential to improve human life. This book aims to empower you as a Citizen of Data Science, covering the privacy, ethics, and theoretical concepts you’ll need to exploit to thrive amid the current and future developments in the AI landscape. We'll explore AI's inner workings, user intent, and the critical role of the AI utility function while also briefly touching on statistics and prediction to build decision models that leverage AI and data for highly informed, more accurate, and less risky decisions. Additionally, we'll discuss how organizations of all sizes can leverage AI and data to engineer or create value. We'll establish why economies of learning are more powerful than the economies of scale in a digital-centric world. Ethics and personal/organizational empowerment in the context of AI will also be addressed. Lastly, we'll delve into ChatGPT and the role of Large Language Models (LLMs), preparing you for the growing importance of Generative AI. By the end of the book, you'll have a deeper understanding of AI and how best to leverage it and thrive alongside it.

Who is this book for?

This book is designed to benefit everyone from students to established business leaders and professionals who want to learn how to leverage data and analytics to accelerate their AI and Data literacy.

What you will learn

  • Get to know the fundamentals of data literacy, privacy, and analytics
  • Find out what makes AI tick and the role of the AI utility function
  • Make informed decisions using prominent decision-making frameworks
  • Understand relevant statistics and probability concepts
  • Create new sources of value by leveraging and applying AI and data
  • Apply ethical parameters to AI development with real-world examples
  • Find out how to get the most out of ChatGPT and its peers

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Jul 26, 2023
Length: 238 pages
Edition : 1st
Language : English
ISBN-13 : 9781835087947
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Product Details

Publication date : Jul 26, 2023
Length: 238 pages
Edition : 1st
Language : English
ISBN-13 : 9781835087947
Category :

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Table of Contents

13 Chapters
Why AI and Data Literacy? Chevron down icon Chevron up icon
Data and Privacy Awareness Chevron down icon Chevron up icon
Analytics Literacy Chevron down icon Chevron up icon
Understanding How AI Works Chevron down icon Chevron up icon
Making Informed Decisions Chevron down icon Chevron up icon
Prediction and Statistics Chevron down icon Chevron up icon
Value Engineering Competency Chevron down icon Chevron up icon
Ethics of AI Adoption Chevron down icon Chevron up icon
Cultural Empowerment Chevron down icon Chevron up icon
ChatGPT Changes Everything Chevron down icon Chevron up icon
Glossary Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon

Customer reviews

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Full star icon Full star icon Full star icon Full star icon Half star icon 4.8
(26 Ratings)
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4 star 19.2%
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N/A Mar 14, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Feefo Verified review Feefo
Cari Barnett Nov 30, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I've been debating on creating a course on this topic for months, but I couldn't get my head around all the topics I'd need to cover. As soon as I saw this book, everything came together. It's literally every topic I was thinking about AND it's laid out in exactly the right orders too.I work with so many executive leaders that need to understand AI. They are not unintelligence people. I think what I loved about this book is that it assumes you're smart, but it doesn't assume you're an engineer. It strikes just the right balance of tone and information without making you feel lost. I highly recommend it. There are really some genius ways of explaining some of these concepts in this book. It's golden!
Amazon Verified review Amazon
Sujit Pal Aug 02, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
AI and Data Literacy makes a convincing argument that everyone, regardless of the kind of work they do, need to be Artificial Intelligence (AI) and data literate, since these two aspects affect almost everyone universally. While such awareness can help with managing its impact on one’s life, knowledge in these areas can often help with being able to thrive in this brave new world as well. The book then goes on to provide a high level but comprehensive education of these subjects to the reader.The target of the book appears to be people in the corporate world in developed countries, where data and AI are in relatively heavy use on a day-to-day basis, but who are not actively involved in consuming or producing it, such as Data Analysts, Data Scientists or Machine Learning engineers. However, there is something in the book for the latter group as well – a unique perspective that is in-between the high level userland view and the low level system view that most of us are used to.I think this book is especially relevant in this era of democratization of Machine Learning that Generative Large Language Models such as ChatGPT has brought about, where the only skill one needs to begin to harness these models to do useful tasks is some proficiency in a human language such as English. There is also a danger that such powerful models can be misused, and the AI and Data literacy that his book offers can go a long way in making the reader aware of such dangers, as well as giving them an understanding of how to harness these technologies for their and society’s betterment.
Amazon Verified review Amazon
Stephan Miller Jul 31, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Is AI going to take over the world and make all of us our minions? Are a lot of people's jobs going to be replaced by AI? While some of these questions can't be answered yet, this book will answer a lot of the questions you have about AI, machine learning, and big data.AI is here to stay. There is no way to get around it. And this book was written to explain how AI works to a non-technical audience. Learn how AI makes decisions by comparing it to how humans make decisions and the many traps both can fall into.The book also covers the ethics of AI, which is a big issue because we are trusting machines to provide us with accurate information and make decisions for us.This is not a book for data scientists, but for everyone else who wants to know how AI is changing the world.
Amazon Verified review Amazon
dr t Jul 26, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
In today's digital age, Artificial Intelligence (AI) and data literacy is reshaping how we engage with information, make decisions, and participate in the modern world. This book is timely and insightful, and delves into the critical role of AI data literacy in empowering individuals to navigate the complex landscape of technology, data, and information.The book is comprised of ten distinct chapters, each one targeting a unique aspect. The author starts by explaining the history of literacy, the risks of AI, and the importance and challenges of both. The author then moves into more complex discussions delving into various topics; from Data and Privacy Awareness to Understanding How AI Works to Probabilities and Statistics. There is a lot of good stuff in here, and much of this is critical information, given today's concerns.One of the highlights of the book is the authors ability to coherently explain complex concepts, for example the Beginner level 101 explanation of how ChatGPT works. The author doesn't stop there though - he also provides two further detailed explanations for more proficient and advanced users. This approach helps to make the content more relatable and less intimidating to readers.In summary, AI & Data Literacy is an enlightening and informative read. The author has managed to pen a book that is not just a theoretical discussion but a pragmatic guide for the digital age. The book is a valuable resource and a call to action for every reader to become an informed, responsible digital citizen in this data-driven world. Whether you are a tech enthusiast, a student, a policy maker, or someone who is just interested in understanding the implications of AI and data in our lives, this book will provide valuable insights and guidance.
Amazon Verified review Amazon
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