INTRODUCTION – AI: Issues, Concerns and Ethical Considerations
Artificial Intelligence is so integrated and amalgamated into every conceivable aspect of our life that it changes how we live, work, or do a social activity. As impacts increase, however, one must be concerned about the ethical aspects of the whole development and use of AI. This week, our topics will pose more interesting questions regarding anything and everything purely related to AI ethics, focusing especially on its significance in ensuring responsible practice with the development and distribution of AI technology.
The learning objective is the understanding that such principles would enable one to recognize the social implications of AI. Discussions on the merits and demerits of AI will also be pertinent.
Learning Outcomes:
- Recognize the current issues and concerns surrounding AI.
- Identify the principles and pillars that offer a framework for AI ethics.
- Recognize how bias occurs in AI systems, and understand mitigation strategies.
- Explore how AI ethics is maintained by governance and regulation.
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
To sum up, this week’s emphasis on AI ethics was very significant in learning the key important reasons behind aligning AI development to be ethical to bring forth diverse issues and challenges regarding AI that provide us with a deeper understanding of the need to deploy responsible AI.
To realize the potential impacts AI will have upon society is to be able to formulate a balanced and well-considered debate over the implications, including all the benefits and perils. Ethics should keep pace with the evolution of the AI landscape, considering that people and their respective societies should be prioritized.