title
Please take a moment to fill out this form. We will get back to you as soon as possible.
All fields marked with an asterisk (*) are mandatory.
AI and Critical Thinking
Duration
1 Day
Course
VS-s3005
Available Formats
Classroom Training, Online Training
Course Description
Overview
This course provides a comprehensive overview of artificial intelligence (AI), focusing on its fundamentals, applications, and ethical considerations. Students will learn to describe different types of AI and their common applications in everyday life. Key ethical issues such as fairness, accountability, transparency, and bias will be explored through real-world examples. The course emphasizes critical thinking skills, enabling students to evaluate AI claims and differentiate between hype and reality. Students will gain an understanding of how machine learning works, including commonly used algorithms and current AI technologies across various sectors.The course also addresses the ethical implications of AI, covering data privacy, security, and the impact on personal freedoms. Students will analyze AI applications in key areas such as healthcare, finance, and law, evaluating both successful and problematic case studies to develop practical AI solutions. By the end of the course, students should be able to critically assess the effectiveness and challenges of various AI implementations, understand ethical considerations and biases, and propose strategies for responsible and ethical AI deployment.
Objectives
This one-day workshop will help you teach participants how to:
- Describe the fundamentals of AI, including different types and common applications in everyday life.
- Understand and discuss key ethical issues in AI, such as fairness, accountability, transparency, and bias, with the help of real-world examples.
- Apply critical thinking principles to evaluate claims about AI, differentiating between hype and reality through practical exercises.
- Explain how machine learning works, identify commonly used algorithms in AI, and recognize AI technologies currently in use across various sectors.
- Discuss the ethical implications of AI, including data privacy, security, and its impact on personal freedoms, and critically assess how to balance these issues with technological innovation.
- Analyze the application of AI in key areas such as healthcare, finance, and law, evaluate case studies of both successful and problematic AI implementations, and develop AI solutions for real-world problems.
- Critically evaluate the effectiveness and challenges of various AI implementations, identifying key factors that contribute to successful or problematic outcomes.
- Gain an understanding of the ethical considerations and potential biases in AI systems, particularly in high-impact areas such as healthcare, finance, and law enforcement.
- Propose best practices and strategies for developing and deploying AI systems responsibly and ethically.
Topics
Course Overview
- You will spend the first part of the day getting to know participants and discussing what will take place during the workshop. Students will also have an opportunity to identify their personal learning objectives.
- In this session, participants will explore the transformative field of AI, examining its definition, types, and common applications in everyday life. It will also delve into the ethical and social implications of AI, focusing on the principles of fairness, accountability, and transparency. A case study on AI bias illustrates the real-world challenges and the importance of ethical considerations in the development and deployment of AI technologies.
- Next, participants will learn how to develop the ability to critically evaluate claims about AI technology by distinguishing between hype and reality, ensuring informed and reasoned decision-making.
- This session delves into the fundamentals of machine learning, exploring its processes from data collection and preprocessing to model training and evaluation, as well as understanding the different types of learning and commonly used algorithms such as linear regression, decision trees, and neural networks.
- This session explores the complexities of data privacy and AI security, emphasizing the importance of robust protection measures, ethical considerations in handling sensitive information, and balancing the benefits of AI with the protection of personal freedoms and privacy.
- This session looks at the transformative opportunities and unique challenges AI presents across various industries, emphasizing the importance of balancing innovation with ethical considerations and ensuring responsible implementation to maximize benefits while minimizing risks.
- This session examines the philosophical debates surrounding the possibility of AI achieving consciousness, including arguments for and against strong AI, and looks at the implications of developing Artificial General Intelligence.
- In this session, participants will collaboratively develop a foundational draft of AI guidelines and policies, focusing on defining core principles, gathering diverse perspectives, and creating a framework for ethical, responsible, and transparent use of AI technologies.
- This session explores the concepts of AI robustness, reliability, and limitations, focusing on how to ensure AI systems maintain performance under varied conditions, produce consistent results, and understand their inherent constraints in real-world applications.
- At the end of the course, students will have an opportunity to ask questions and fill out an action plan.
Related Courses
-
GPT-3
PLPJ-215- Duration: 2 Days
- Delivery Format: Classroom Training, Online Training
- Price: ???
-
50 Algorithms Every Programmer Should Know
PLPJ-220- Duration: 4 Days
- Delivery Format: Classroom Training, Online Training
- Price: 2,340.00 USD
Self-Paced Training Info
Learn at your own pace with anytime, anywhere training
- Same in-demand topics as instructor-led public and private classes.
- Standalone learning or supplemental reinforcement.
- e-Learning content varies by course and technology.
- View the Self-Paced version of this outline and what is included in the SPVC course.
- Learn more about e-Learning
Course Added To Shopping Cart
bla
bla
bla
bla
bla
bla
Self-Paced Training Terms & Conditions
??spvc-wbt-warning??
Exam Terms & Conditions
??exam-warning??
??group-training-form-area??
??how-can-we-help-you-area??
??personalized-form-area??
??request-quote-area??
Sorry, there are no classes that meet your criteria.
Please contact us to schedule a class.
STOP! Before You Leave
Save 0% on this course!
Take advantage of our online-only offer & save 0% on any course !
Promo Code skip0 will be applied to your registration
Nothing yet
Purchase Information
??elearning-coursenumber?? ??coursename??
View Cart
title
Please take a moment to fill out this form. We will get back to you as soon as possible.
All fields marked with an asterisk (*) are mandatory.