The "Ethical AI Use" course delves into the critical intersection of technology and ethics, focusing on the responsible development and deployment of artificial intelligence (AI). Participants will explore the evolution of AI, distinguishing between the two fundamental types, and examine the ethical considerations inherent in the realm of generative AI.
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The "Ethical AI Use" course delves into the critical intersection of technology and ethics, focusing on the responsible development and deployment of artificial intelligence (AI). Participants will explore the evolution of AI, distinguishing between the two fundamental types, and examine the ethical considerations inherent in the realm of generative AI.
The "Ethical AI Use" course delves into the critical intersection of technology and ethics, focusing on the responsible development and deployment of artificial intelligence (AI). Participants will explore the evolution of AI, distinguishing between the two fundamental types, and examine the ethical considerations inherent in the realm of generative AI.
Through a combination of theoretical discussions and practical exercises, students will learn about the intricate process of prompt engineering, which involves crafting inputs to guide AI systems towards ethically sound outputs. They will investigate the four qualifiers that govern AI output and master the techniques of proper prompting to ensure adherence to ethical standards.
Drawing from real-world examples, including case studies centered on images, participants will analyze the ethical implications of AI applications and develop a comprehensive understanding of the ethical wheel guiding prompt engineering decisions. Ultimately, students will come to appreciate prompt engineering as both a skill and an art, essential for the ethical use of AI in various domains.
This course equips participants with the knowledge and tools necessary to navigate the ethical complexities of AI, empowering them to contribute positively to the development and implementation of AI technologies in society.
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Activities
Review AI fundamentals
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Enhance understanding of AI concepts covered in the course by revisiting foundational principles.
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AI Fundamentals
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Recap key concepts of machine learning, such as supervised and unsupervised learning.
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Review different types of AI algorithms, including decision trees and neural networks.
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Explore applications of AI in various domains, such as healthcare and finance.
Review Prior Ethical Training and Education
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Bolster existing knowledge of ethical AI principles and best practices, ensuring a strong foundation for the course.
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Ethical Frameworks
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Review notes, textbooks, or online resources from previous training or courses on AI ethics.
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Revisit case studies or examples of ethical dilemmas in AI development.
Practice prompt engineering
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Gain hands-on experience in crafting ethical prompts for AI systems, enhancing understanding of the Ethical AI Use process.
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Prompt Engineering
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Follow guided tutorials on prompt engineering techniques and best practices.
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Experiment with different prompt formats and styles to observe their impact on AI output.
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Analyze examples of effective and ineffective prompts to identify common pitfalls.
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Practice Ethical Prompt Engineering Scenarios
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Sharpen skills in ethical prompt engineering through practical exercises, ensuring responsible AI deployment.
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Prompt Engineering
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Use online tools or platforms that provide ethical prompt engineering exercises.
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Analyze AI outputs generated from different prompts, evaluating ethical implications and adherence to ethical guidelines.
Develop AI ethics case studies
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Apply knowledge of AI ethics by developing case studies that explore real-world ethical dilemmas, fostering critical thinking and problem-solving skills.
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Ethical considerations in AI
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Identify a specific ethical issue or challenge related to AI.
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Research and gather information on the topic, considering different perspectives and viewpoints.
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Create a case study that presents the ethical dilemma, analyzes potential consequences, and proposes ethical solutions.
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Share and discuss the case study with peers or mentors for feedback and insights.
Mentor Junior Developers in Ethical AI
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Solidify understanding of AI ethics by sharing knowledge and guiding others, fostering a community of ethical AI practitioners.
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Responsible AI Development
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Identify opportunities to mentor junior developers or students interested in AI ethics.
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Share insights, resources, and best practices on ethical AI development.
Participate in AI Ethics Hackathons or Competitions
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Challenge understanding of AI ethics in a competitive environment, driving innovation and critical thinking.
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Identify and participate in hackathons or competitions that focus on ethical AI development.
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Collaborate with others to develop creative solutions to ethical AI challenges.
Develop an Ethical AI Deployment Plan
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Demonstrate a comprehensive understanding of ethical AI principles by crafting a deployment plan that incorporates ethical considerations.
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AI Implementation
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Identify potential ethical risks and challenges associated with the planned AI deployment.
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Develop strategies to mitigate these risks and ensure ethical AI implementation.
-
Create a detailed plan outlining the ethical guidelines and best practices to be followed during deployment.
Review AI fundamentals
Show steps
Enhance understanding of AI concepts covered in the course by revisiting foundational principles.
Browse courses on
AI Fundamentals
Show steps
- Recap key concepts of machine learning, such as supervised and unsupervised learning.
- Review different types of AI algorithms, including decision trees and neural networks.
- Explore applications of AI in various domains, such as healthcare and finance.
Review Prior Ethical Training and Education
Show steps
Bolster existing knowledge of ethical AI principles and best practices, ensuring a strong foundation for the course.
Browse courses on
Ethical Frameworks
Show steps
- Review notes, textbooks, or online resources from previous training or courses on AI ethics.
- Revisit case studies or examples of ethical dilemmas in AI development.
Practice prompt engineering
Show steps
Gain hands-on experience in crafting ethical prompts for AI systems, enhancing understanding of the Ethical AI Use process.
Browse courses on
Prompt Engineering
Show steps
- Follow guided tutorials on prompt engineering techniques and best practices.
- Experiment with different prompt formats and styles to observe their impact on AI output.
- Analyze examples of effective and ineffective prompts to identify common pitfalls.
Practice Ethical Prompt Engineering Scenarios
Show steps
Sharpen skills in ethical prompt engineering through practical exercises, ensuring responsible AI deployment.
Browse courses on
Prompt Engineering
Show steps
- Use online tools or platforms that provide ethical prompt engineering exercises.
- Analyze AI outputs generated from different prompts, evaluating ethical implications and adherence to ethical guidelines.
Develop AI ethics case studies
Show steps
Apply knowledge of AI ethics by developing case studies that explore real-world ethical dilemmas, fostering critical thinking and problem-solving skills.
Browse courses on
Ethical considerations in AI
Show steps
- Identify a specific ethical issue or challenge related to AI.
- Research and gather information on the topic, considering different perspectives and viewpoints.
- Create a case study that presents the ethical dilemma, analyzes potential consequences, and proposes ethical solutions.
- Share and discuss the case study with peers or mentors for feedback and insights.
Mentor Junior Developers in Ethical AI
Show steps
Solidify understanding of AI ethics by sharing knowledge and guiding others, fostering a community of ethical AI practitioners.
Browse courses on
Responsible AI Development
Show steps
- Identify opportunities to mentor junior developers or students interested in AI ethics.
- Share insights, resources, and best practices on ethical AI development.
Participate in AI Ethics Hackathons or Competitions
Show steps
Challenge understanding of AI ethics in a competitive environment, driving innovation and critical thinking.
Show steps
- Identify and participate in hackathons or competitions that focus on ethical AI development.
- Collaborate with others to develop creative solutions to ethical AI challenges.
Develop an Ethical AI Deployment Plan
Show steps
Demonstrate a comprehensive understanding of ethical AI principles by crafting a deployment plan that incorporates ethical considerations.
Browse courses on
AI Implementation
Show steps
- Identify potential ethical risks and challenges associated with the planned AI deployment.
- Develop strategies to mitigate these risks and ensure ethical AI implementation.
- Create a detailed plan outlining the ethical guidelines and best practices to be followed during deployment.
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