A multidisciplinary field that investigates how to maximize AI’s beneficial impacts while reducing risks and adverse impacts (CORRECT)

COURSE 2 – INTRODUCTION TO ARTIFICIAL INTELLIGENCE (AI)

Module 3: AI: Issues, Concerns and Ethical Considerations

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Last updated:

May 15, 2024

INTRODUCTION – AI: Issues, Concerns and Ethical Considerations

AI pervades every aspect of our lives, revolutionizing our lifestyles, professions, and social interactions. Hence, aligning its development and utilization with ethical standards becomes paramount. Throughout this week, we’ll delve into the myriad of issues and considerations surrounding AI, emphasizing the significance of AI ethics in guiding practitioners to construct and employ AI responsibly.

This knowledge equips you to comprehend the societal ramifications of AI, empowering you to engage in informed discourse regarding its advantages and risks.

Learning Objectives

Describe current issues and concerns related to AI
Define the principles and pillars that form a framework for AI ethics
Explain how bias can arise in AI and how it can be mitigated
Explain how AI ethics is enforced through governance and regulations

GRADED: AI ISSUES, ETHICS AND BIAS

1. What is AI ethics?

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

2. In AI, what is fairness?

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

3. In AI, what is transparency?

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

4. In AI, what is privacy?

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

5. In AI, what does bias do?

Augments human intelligence
Gives systematic disadvantages to certain groups or individuals (CORRECT)
Solves problems faster
Identifies and addresses socio-technical issues raised by AI

6. What is a first step toward mitigating bias in AI?

Assembling diverse teams (CORRECT)
Designating a lead AI ethics official
Putting into place a governance structure that works at scale
Developing different rules for different risks

7. What is a regulation?

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

8. What is AI governance?

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

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

Only when training the model
At the end of the AI lifecycle
Throughout the AI lifecycle (CORRECT)
At the beginning of the AI lifecycle

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

How to use AI in healthcare
How to use AI in social media and marketing
How to use AI responsibly (CORRECT)
How to use AI in hiring

CONCLUSION – AI: Issues, Concerns and Ethical Considerations

In conclusion, this week’s exploration of AI ethics has underscored the critical importance of aligning AI development with ethical principles. By examining the various issues and concerns surrounding AI, we have gained insights into the necessity of responsible AI usage.

Understanding the potential impacts of AI on society enables us to engage in meaningful discussions about its implications, weighing both the benefits and risks. As we continue to navigate the evolving landscape of AI, let us remain committed to ethical practices that prioritize the well-being of individuals and communities.

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