Artificial Intelligence: Ethical, Social and Security Impacts for the Present and the Future

✍ Scribed by IT Governance Publishing (editor)

• Publisher: It Governance Publishing
• Year: 2022
• Tongue: English
• Leaves: 340
• Category: Library

✦ Synopsis

This book will provide a global perspective on AI and the challenges it represents, and will focus on the digital ethics surrounding AI technology.

✦ Table of Contents

Cover
Title
Foreword
About the Author
Acknowledgements
Contents
Figures
Figure 1-1: Gynoid Maria from the movie Metropolis
Figure 1-2: AI is multidisciplinary
Figure 1-3: Definitions of AI, ML, and DL
Figure 1-4: AI learning styles
Figure 1-5: Dog vs. not a dog
Figure 1-6: Dogs
Figure 1-7: Feedback loop in reinforced learning
Figure 1-8: Deep neural network representation
Figure 1-9: The DL process
Figure 2-1: AI is integrated into many areas
Figure 2-2: Use of AI in entertainment
Figure 2-3: Jimmy Fallon meets Sophia the robot
Figure 3-1: Human-machine communication
Figure 4-1: The potential positive impacts of AI
Figure 4-2: AI uses during COVID
Figure 4-3: The potential negative impacts of AI
Figure 4-4: Loneliness and social isolation
Figure 4-5: Equality vs. fairness
Figure 5-1: Bias in environment, data, design and use
Figure 5-2: Six steps to identify and mitigate AI bias
Figure 5-3: EqualAI checklist to identify bias
Figure 6-1: Manipulation of an AI-trained view
Figure 6-2: AI as a shield
Figure 7-1: Will a robot replace your job?
Figure 7-2: Micro, meso and macro socio-ethical skills
Figure 8-1: Why individuals feel they do not control personal data
Figure 8-2: Privacy vs. security
Figure 8-3: Good practices for user data privacy
Figure 8-4: Process of facial recognition
Figure 9-1: Seven types of misinformation and disinformation
Figure 9-2: Facebook engagements for Top election stories (Fake News)
Figure 9-3: How to make a deepfake
Figure 9-4: Facts don't matter
Figure 9-5: Five types of media bias
Figure 9-6: Forms of media bias
Figure 9-7: AllSides Media Bias Chart
Figure 10-1: Most popular social media sites as of October 2021
Figure 10-2: Instagram engagement calculator
Figure 10-3: Signs of social media addiction
Figure 10-4: Attitudes toward Facebook among US adults
Figure 11-1: Comparison of human and AI
Figure 11-2: The concept of autonomy
Figure 12-1: Constructs to assist AI developers in integrating ethics into AI
Figure 12-2: The SUM values
Figure 12-3: The FAST Principles
Figure 12-4: Transparency in AI
Tables
Table 4-1: Comparison Between Ethics and Morals
Table 4-2: Quantitative and Qualitative Fairness Tools
Table 7-1: Potential Negative and Positive Effects of AI On the Workforce
Introduction
Chapter 1: AI defined and common depictions of AI – Is it a benevolent force for humanity or an existential threat?
A very brief history of AI – and perceptions of AI
What exactly is AI?
AI learning styles
Back to the original question
Chapter 2: Is AI really ubiquitous – Does it or will it permeate everything we do?
Ubiquitous AI
What is allowing AI to become almost a "common utility"?
What makes people refer to AI as ubiquitous?
Chapter 3: Human-machine collaboration – Can we talk to them in English (or any other language)?
The "Age of With™"
The five Ts of human-machine collaboration
Types of human-machine collaboration
How can humans and machines communicate?
Challenges to human-machine collaboration
Chapter 4: AI, ethics, and society – Are they compatible?
How do ethics relate to AI?
Potential positive ethical and security/safety impacts of AI
AI in the time of COVID
Potential negative ethical and security/safety impacts of AI
The reasons it is difficult for humans to fully address these potential challenges from AI
Chapter 5: Bias in AI – Why is it important and potentially dangerous?
Where does AI bias come from?
Real-life examples of bias in AI
Can AI's decisions be less biased than human ones?
Identifying and removing bias in AI
Chapter 6: AI and cybersecurity – AI as a sword or a shield?
AI as a sword
AI as a shield
It's more than just AI tools
Chapter 7: AI and our society – Will the result be professional, ethical, and social deskilling, or upskilling?
Professional deskilling and upskilling
Ethical deskilling and upskilling
Social deskilling and upskilling
Chapter 8: AI and privacy – Is anything really private anymore?
Privacy and security
Data privacy
Monitoring and surveillance
Privacy laws and regulations in the age of AI
Chapter 9: Misinformation, disinformation, fake news, manipulation, and deep fakes – Do we know how to think critically about information?
Misinformation
Disinformation
User manipulation
Thinking critically about information and information sources
Become a digital detective
Chapter 10: AI and social media – How is it affecting us?
What is the relationship between social media and AI?
The unforeseen effects of AI and social media
Chapter 11: "The measure of a man" – Can AI become more like a human?
What does it mean to be "human"?
Applying human characteristics to AI
But can AI be considered alive?
AI – A new species
Chapter 12: What's next in AI – Less artificial and more intelligent?
The future of AI – What comes next?
A primer for integrating ethics and safety into new AI developments
Policy and legal considerations
Chapter 13: Final thoughts
Further reading