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Scary Stories About AI Gone Wrong (Let’s Get Ethical)

THAT Conference

THAT Conference 2019 | Scary Stories about AI Gone Wrong (Let’s Get Ethical) | Amanda Sopkin

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THAT Conference 2019 | Scary Stories about AI Gone Wrong (Let’s Get Ethical) | Amanda Sopkin

As Artificial Intelligence (AI) becomes a bigger part of life, it’s time to examine the dangers. It is easy to see the negative impacts of failing to evaluate ethical consequences in retrospect, but often much harder when initially developing intelligent systems. In this talk, Amanda Sopkin examines 3 separate examples of the application of AI to various systems.

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Syllabus

Scary Stories About AI Gone Wrong (Let’s Get Ethical)

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Know what's good
, what to watch for
, and possible dealbreakers
Explores an important topic of AI ethics in various applications
Delivered by an experienced speaker who shares insights on ethical AI implementation

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Career center

Learners who complete Scary Stories About AI Gone Wrong (Let’s Get Ethical) will develop knowledge and skills that may be useful to these careers:
Artificial Intelligence Specialist
Artificial Intelligence Specialists are at the forefront of developing and implementing AI systems. This course can help you build a foundation in the ethical considerations of AI, which is essential for success in this role. You will learn about the potential dangers of AI and how to avoid them, as well as the importance of transparency and accountability in AI development. This course can also help you understand the legal and regulatory landscape surrounding AI, which is increasingly important as AI becomes more widespread.
See salaries and explore the career path for Artificial Intelligence Specialist
Machine Learning Engineer
Machine Learning Engineers design and develop machine learning models. This course can help you build a foundation in the ethical considerations of AI, which is essential for success in this role. You will learn about the potential dangers of AI and how to avoid them, as well as the importance of transparency and accountability in AI development. This course can also help you understand the legal and regulatory landscape surrounding AI, which is increasingly important as AI becomes more widespread.
See salaries and explore the career path for Machine Learning Engineer
Data Scientist
Data Scientists use data to solve business problems. This course can help you build a foundation in the ethical considerations of AI, which is increasingly important as AI becomes more prevalent in data analysis. You will learn about the potential dangers of AI and how to avoid them, as well as the importance of transparency and accountability in AI development. This course can also help you understand the legal and regulatory landscape surrounding AI, which is increasingly important as AI becomes more widespread.
See salaries and explore the career path for Data Scientist
Computer Programmer
Computer Programmers write, test, and maintain computer programs. This course can help you build a foundation in the ethical considerations of AI, which is increasingly important as AI becomes more prevalent in software development. You will learn about the potential dangers of AI and how to avoid them, as well as the importance of transparency and accountability in AI development. This course can also help you understand the legal and regulatory landscape surrounding AI, which is increasingly important as AI becomes more widespread.
See salaries and explore the career path for Computer Programmer
Computer Systems Analyst
Computer Systems Analysts design, develop, and implement computer systems. This course can help you build a foundation in the ethical considerations of AI, which is increasingly important as AI becomes more prevalent in systems analysis. You will learn about the potential dangers of AI and how to avoid them, as well as the importance of transparency and accountability in AI development. This course can also help you understand the legal and regulatory landscape surrounding AI, which is increasingly important as AI becomes more widespread.
See salaries and explore the career path for Computer Systems Analyst
Software Engineer
Software Engineers design, develop, and maintain software systems. This course can help you build a foundation in the ethical considerations of AI, which is increasingly important as AI becomes more prevalent in software development. You will learn about the potential dangers of AI and how to avoid them, as well as the importance of transparency and accountability in AI development. This course can also help you understand the legal and regulatory landscape surrounding AI, which is increasingly important as AI becomes more widespread.
See salaries and explore the career path for Software Engineer
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to solve business problems. This course can help you build a foundation in the ethical considerations of AI, which is increasingly important as AI becomes more prevalent in operations research. You will learn about the potential dangers of AI and how to avoid them, as well as the importance of transparency and accountability in AI development. This course can also help you understand the legal and regulatory landscape surrounding AI, which is increasingly important as AI becomes more widespread.
See salaries and explore the career path for Operations Research Analyst
Information Security Analyst
Information Security Analysts protect computer systems and networks from unauthorized access. This course can help you build a foundation in the ethical considerations of AI, which is increasingly important as AI becomes more prevalent in cybersecurity. You will learn about the potential dangers of AI and how to avoid them, as well as the importance of transparency and accountability in AI development. This course can also help you understand the legal and regulatory landscape surrounding AI, which is increasingly important as AI becomes more widespread.
See salaries and explore the career path for Information Security Analyst
Financial Analyst
Financial Analysts analyze financial data to make investment recommendations. This course can help you build a foundation in the ethical considerations of AI, which is increasingly important as AI becomes more prevalent in financial analysis. You will learn about the potential dangers of AI and how to avoid them, as well as the importance of transparency and accountability in AI development. This course can also help you understand the legal and regulatory landscape surrounding AI, which is increasingly important as AI becomes more widespread.
See salaries and explore the career path for Financial Analyst
Market Research Analyst
Market Research Analysts study consumer behavior to help businesses develop marketing strategies. This course can help you build a foundation in the ethical considerations of AI, which is increasingly important as AI becomes more prevalent in market research. You will learn about the potential dangers of AI and how to avoid them, as well as the importance of transparency and accountability in AI development. This course can also help you understand the legal and regulatory landscape surrounding AI, which is increasingly important as AI becomes more widespread.
See salaries and explore the career path for Market Research Analyst
UX Designer
UX Designers design user interfaces for websites and mobile apps. This course can help you build a foundation in the ethical considerations of AI, which is increasingly important as AI becomes more prevalent in UX design. You will learn about the potential dangers of AI and how to avoid them, as well as the importance of transparency and accountability in AI development. This course can also help you understand the legal and regulatory landscape surrounding AI, which is increasingly important as AI becomes more widespread.
See salaries and explore the career path for UX Designer
Business Analyst
Business Analysts analyze business processes and develop solutions to improve efficiency and effectiveness. This course can help you build a foundation in the ethical considerations of AI, which is increasingly important as AI becomes more prevalent in business analysis. You will learn about the potential dangers of AI and how to avoid them, as well as the importance of transparency and accountability in AI development. This course can also help you understand the legal and regulatory landscape surrounding AI, which is increasingly important as AI becomes more widespread.
See salaries and explore the career path for Business Analyst
Actuary
Actuaries use mathematical and statistical techniques to assess risk and uncertainty. This course can help you build a foundation in the ethical considerations of AI, which is increasingly important as AI becomes more prevalent in actuarial science. You will learn about the potential dangers of AI and how to avoid them, as well as the importance of transparency and accountability in AI development. This course can also help you understand the legal and regulatory landscape surrounding AI, which is increasingly important as AI becomes more widespread.
See salaries and explore the career path for Actuary
Data Analyst
Data Analysts clean, analyze, and interpret data to help businesses make informed decisions. This course can help you build a foundation in the ethical considerations of AI, which is increasingly important as AI becomes more prevalent in data analysis. You will learn about the potential dangers of AI and how to avoid them, as well as the importance of transparency and accountability in AI development. This course can also help you understand the legal and regulatory landscape surrounding AI, which is increasingly important as AI becomes more widespread.
See salaries and explore the career path for Data Analyst
Statistician
Statisticians collect, analyze, and interpret data to draw conclusions about a population. This course can help you build a foundation in the ethical considerations of AI, which is increasingly important as AI becomes more prevalent in statistics. You will learn about the potential dangers of AI and how to avoid them, as well as the importance of transparency and accountability in AI development. This course can also help you understand the legal and regulatory landscape surrounding AI, which is increasingly important as AI becomes more widespread.
See salaries and explore the career path for Statistician

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Course image
Time
50 hours
Level
Intermediate
Via
Pluralsight
Instructor
THAT Conference
Language
English
This course belongs to a collection called THAT Conference 2019. It's comprised of 67 courses:
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  2. Azure DevOps: From Source Code to Production
  3. The Psychology of Consumer and User Experience CX/UX
  4. Hololens 2: Building Mixed Reality Apps for Your Enterprise
  5. Let's Build an Augmented Reality Campfire with JavaScript
  6. Animation in UI: The Subconscious Influence of Motion
  7. Event-driven Architecture with Kafka and Containers
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  9. Using Machine Learning to Eliminate Meetings
  10. Using the Apollo GraphQL Client to Break on through to the REST API
  11. GraphQL, More Like GraphQWOW
  12. What Is Data Science, and How Do I Get Started?
  13. Modern Data Visualization
  14. Introduction to Graph Databases
  15. ML and the IoT: Living on the Edge
  16. The Absolute Beginner's Guide to Docker
  17. Docker Is the New Package Manager
  18. Feature Flags for Better DevOps
  19. CI/CD for the Beginner Developer
  20. Infrastructure as Code: Don't Forget How to Build Your Canoe
  21. Retrospectives: Not Just for Agile Teams
  22. How to Win Friends and Influence Better Developer Estimates
  23. Feedback Is a Gift
  24. Salary Negotiation Doesn't Have to Be Scary
  25. Using Our Powers for Good: Tech and Social Impact
  26. Burning out and How to Deal with It
  27. Don't Let Assumptions Kill Good Ideas
  28. Leadership in Fully Remote Teams
  29. Turn Your Development Side Hustle into a Viable Business
  30. Fear
  31. Camping Mindfully
  32. Leadership Guide for the Reluctant Leader
  33. I Was Nearly Fired; It Was the Best Thing That Ever Happened
  34. Tap, Tap, Tap. Is This Thing Even On?
  35. How to Work from Home without Living at Work
  36. Networking Your Way to Your Next Role
  37. Leading Engineers to Water: The Art and Science of Developer Coaching
  38. How to Onboard Junior Devs Like a Boss: A Guide for Senior Developers
  39. How to Start a Software YouTube Channel
  40. OAuth 2.0 and OpenID Connect (In Plain English)
  41. Useful Cryptography: An Introduction
  42. Demystifying Front-end Security
  43. Get Off My Grass: Weeding Out Logic with Presenters
  44. WebAssembly: The Swiss Army Knife of Browser Apps
  45. Electronics for Programmers
  46. Apps, Stacks, and Frameworks: Avoiding “Shiny Object” Syndrome
  47. 7 Guaranteed Ways to Fail with Microservices
  48. UI Development in a Microservices World
  49. Postman: An Incredible Tool for API Development and Testing
  50. Unit Testing as a Philosophy for Success
  51. All the New Things! Using MVVM, Flow-coordinators, and RxSwift to Create a Completely Dynamic UI
  52. Building Screaming Fast Websites on the Cheap Using Gatsby.js
  53. Get to Green: How to Safely Refactor Legacy Code
  54. What's New in C#8
  55. Intro to Progressive Web Apps
  56. Learn to Slay the iOS UI Testing Beast in an Hour
  57. Wicked Fast Mobile Web
  58. Creating iOS and Android Apps in C# Using Xamarin
  59. State of Mobile Development
  60. Level up Your Business Web App with SVG Animation
  61. Vue and ASP.NET Core: Better Together
  62. Web Components and Design Systems
  63. Immutable All the Way Down
  64. Unit Testing in Sass
  65. A Hike through Hooks and Suspense in React
  66. The Art of Delivering Quality Software Quickly
  67. Developer Tools for AI and Machine Learning
Good to know
Explores an important topic of AI ethics in various applications
Delivered by an experienced speaker who shares insights on ethical AI implementation
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