introduction to artificial intelligence (ai) coursera week 3 quiz answers

Graded: AI Issues, Ethics and Bias

1. What is Al ethics?

  • How to build and use Al in ways that align with human ethics and expectations
  • An organization’s act of governing Al through its corporate instructions, staff, processes, and systems
  • A multidisciplinary field that investigates how to maximize Al’s beneficial impacts while reducing risks and adverse impacts
  • How and why an Al system arrived at a particular outcome or recommendation

2. In Al, what is fairness?

  • An Al system’s ability to effectively handle exceptional conditions, like abnormal input or adversarial attacks
  • An Al system’s ability to prioritize and safeguard humans’ privacy and data rights
  • An Al system’s ability to show how and why it arrived at a particular outcome or recommendation
  • An Al system’s ability to treat individuals or groups equitably

3. In Al, what is explainability?

  • When appropriate information is shared with humans about how an Al system was designed and developed
  • An Al system’s ability to show how and why it arrived at a particular outcome or recommendation
  • An Al system’s ability to treat individuals or groups equitably
  • An Al system’s ability to effectively handle exceptional conditions, like abnormal input or adversarial attacks

4. In Al, what is privacy?

  • An Al system’s ability to show how and why it arrived at a particular outcome or recommendation
  • An Al system’s ability to treat individuals or groups equitably
  • When appropriate information is shared with humans about how an Al system was designed and developed
  • An Al system’s ability to prioritize and safeguard humans’ privacy and data rights

5. In Al, what does bias do?

  • Gives systematic disadvantages to certain groups or individuals
  • Identifies and addresses socio-technical issues raised by Al
  • Solves problems faster
  • Augments human intelligence

6. What is one potential cause of bias in an Al system?

  • High-quality data sets
  • Diverse teams
  • Clear principles and pillars
  • Implicit or explicit human bias

7. What is a regulation?

  • A governance structure that works at scale
  • A government rule enforceable by law
  • A multidisciplinary field that investigates how to maximize Al’s beneficial impacts while reducing risks and adverse impacts
  • An organization’s act of governing through its corporate instructions, staff, processes, and systems

8. What is Al governance?

  • An organization’s act of governing through its corporate instructions, staff, processes, and systems
  • A government rule enforcible by law
  • An Al system’s ability to prioritize and safeguard humans’ privacy and data rights
  • A multidisciplinary field that investigates how to maximize Al’s beneficial impacts while reducing risks and adverse impacts

9. When should developers, data scientists, and other people who work with Al consider ethics?

  • Only when training the model
  • Throughout the Al lifecycle
  • At the end of the Al lifecycle
  • At the beginning of the Al lifecycle

10. According to IBM's Betsy Greytok, what is the hottest topic in Al?

  • How to use Al responsibly
  • How to use Al in hiring
  • How to use Al in healthcare
  • How to use Al in social media and marketing

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