Explainable AI and Agentic AI: Practical Understanding, Trust and Decision-Making
Understand how AI systems make decisions and how emerging “agentic” AI tools work. Through hands-on activities and real-world examples develop practical skills to evaluate, interpret and use AI responsibly.
Learning modes and locations may be different depending on the course start date. Please check the location of your chosen course and read our guide to learning modes and locations to help you choose the right course for you.
Start Date:14 Oct 2026
End Date:21 Oct 2026
Wed (Daytime):14:00 - 17:00
Choose either online or in-person
Location: Hybrid (choose either online or in-person)
Please note: We offer a wide variety of financial support to make courses affordable. Just visit our online Help Centre for more information on a range of topics including fees, online learning and FAQs.
Building on introductory knowledge of generative AI this course explores how artificial intelligence systems produce outputs and make decisions and how emerging “agentic” AI systems are beginning to act more autonomously.
What will we cover?
The focus is on practical understanding. Learners will explore how to interpret AI outputs, identify risks such as bias and hallucinations and make informed judgements about when and how to use AI tools in everyday and workplace contexts.
Through demonstrations, hands-on activities and real-world examples the course develops confidence in working critically with AI rather than simply using it.
How generative AI systems produce outputs
AI as a decision-support tool
AI hallucinations and limitations
Explainable AI (XAI) and why it matters
Bias and fairness in AI systems
Introduction to agentic AI and autonomous systems
Practical evaluation of AI outputs in real-world scenarios
Responsible and effective use of AI tools
What will I achieve? By the end of this course you should be able to...
Explain how generative AI systems produce outputs and decisions
Identify common limitations such as hallucinations and bias
Describe the concept of Explainable AI (XAI)
Understand what agentic AI is and how it is used
Evaluate the reliability of AI outputs
Use AI tools more critically and effectively in practical contexts
What level is the course and do I need any particular skills?
This is an introductory course suitable for learners who have a basic awareness of AI or who have attended a general introductory course.
No technical background is required, but a willingness to engage actively with practical exercises and discussion will support learning.
How will I be taught, and will there be any work outside the class?
This is an interactive course that includes:
Tutor-led explanation
Live demonstrations
Hands-on use of AI tool(s)
Practical exercises and scenario-based activities
Group discussion and reflection
There is no homework, although learners may wish to explore tools further after the session.
Are there any other costs? Is there anything I need to bring?
No. There are no extra costs apart from your own note-taking materials.
When I've finished, what course can I do next?
City Lit offers a variety of progression courses in this subject area. Please click here to view our courses.
Disclaimer: Use of Third-Party Software
AI tools (such as Gemini, Google AI Studio, ChatGPT, etc.) can be valuable for learning and productivity. However, many of these services-particularly those offered free of charge-may use the information you input, along with generated responses, to train and improve their models.
City Lit does not support, control or accept responsibility for these tools. Students should use personal email addresses when signing up for any software and are advised to review the provider’s privacy policy and terms of use to understand how their data is collected, processed, stored, and shared.
We do not recommend inputting sensitive, confidential, or personal information into these tools unless you have reviewed the product’s terms and conditions and are confident that its privacy and security measures meet your requirements.
Examples of sensitive information include:
Personal information
Student information
Confidential information
Sensitive information
Information about other people without their consent
Vina Theodorakopoulou teaches at the intersection of technology, business and society, helping learners connect big ideas on economics, innovation and human behaviour to real-world decisions and practical outcomes. With a background in financial and professional services and a PhD in behavioural economics, she brings practical insight into how decisions are made under uncertainty and how systems -from markets to organisations- affect everyday life and work. At City Lit, her courses span topics such as AI and ethics, global capitalism, innovation, sustainability and communication. Across all subjects, she focuses on connecting ideas to practice, encouraging learners to apply what they learn in meaningful and tangible ways. She has a strong interest in global cultures and communication, reflected in her teaching of languages and cultural forms, including Greek dance. She believes learning should open up new ways of thinking about work, culture and how we live — and offer practical value beyond the classroom.
Please note: We reserve the right to change our tutors from those advertised. This happens rarely, but if it does, we are unable to refund fees due to this. Our tutors may have different teaching styles; however we guarantee a consistent quality of teaching in all our courses.
product
https://www.citylit.ac.uk/explainable-ai-and-agentic-ai-practical-understanding-trust-and-decision-making3075760Explainable AI and Agentic AI: Practical Understanding, Trust and Decision-Makinghttps://www.citylit.ac.uk/media/catalog/category/ai-tools-and-applications-for-business-a-short-introduction-cmart35-1024.jpg159159GBPInStock/Courses/Courses/Business, marketing & technology/Courses/Business, marketing & technology/AI & technology/Technology/Courses/Business, marketing & technology/AI & technology/Courses/New courses22851211158713526174312285121113526<p>Understand how AI systems make decisions and how emerging “agentic” AI tools work. Through hands-on activities and real-world examples develop practical skills to evaluate, interpret and use AI responsibly.</p>003075751Explainable AI and Agentic AI: Practical Understanding, Trust and Decision-Making159159https://www.citylit.ac.uk/media/catalog/category/ai-tools-and-applications-for-business-a-short-introduction-cmart35-1024.jpgInStockDaytimeWedHybrid (choose either online or in-person)Available courses1 to 4 weeksWeekday2026-10-14T00:00:00+00:00BeginnersOct 2026Business, marketing & technologyCMART97159159Explainable AI and Agentic AI: Practical Understanding, Trust and Decision-Making127103159Vina Theodorakopoulouexplainable-ai-and-agentic-ai-practical-understanding-trust-and-decision-making/cmart97-2627<p>Understand how AI systems make decisions and how emerging “agentic” AI tools work. Through hands-on activities and real-world examples develop practical skills to evaluate, interpret and use AI responsibly.</p>0000-Available|2026-10-14 00:00:00<p>Building on introductory knowledge of generative AI this course explores how artificial intelligence systems produce outputs and make decisions and how emerging “agentic” AI systems are beginning to act more autonomously.</p><p> </p><p>Understand how AI systems make decisions and how emerging “agentic” AI tools work. Through hands-on activities and real-world examples develop practical skills to evaluate, interpret and use AI responsibly.</p><p>The focus is on practical understanding. Learners will explore how to interpret AI outputs, identify risks such as bias and hallucinations and make informed judgements about when and how to use AI tools in everyday and workplace contexts.</p><p><br>Through demonstrations, hands-on activities and real-world examples the course develops confidence in working critically with AI rather than simply using it.</p><ul><li>How generative AI systems produce outputs</li><li>AI as a decision-support tool</li><li>AI hallucinations and limitations</li><li>Explainable AI (XAI) and why it matters</li><li>Bias and fairness in AI systems</li><li>Introduction to agentic AI and autonomous systems</li><li>Practical evaluation of AI outputs in real-world scenarios</li><li>Responsible and effective use of AI tools</li></ul><ul><li>Explain how generative AI systems produce outputs and decisions</li><li>Identify common limitations such as hallucinations and bias</li><li>Describe the concept of Explainable AI (XAI)</li><li>Understand what agentic AI is and how it is used</li><li>Evaluate the reliability of AI outputs</li><li>Use AI tools more critically and effectively in practical contexts</li></ul><p>This is an introductory course suitable for learners who have a basic awareness of AI or who have attended a general introductory course.</p><p>No technical background is required, but a willingness to engage actively with practical exercises and discussion will support learning.</p><p>This is an interactive course that includes:</p><ul><li>Tutor-led explanation</li><li>Live demonstrations</li><li>Hands-on use of AI tool(s)</li><li>Practical exercises and scenario-based activities</li><li>Group discussion and reflection</li></ul><p>There is no homework, although learners may wish to explore tools further after the session.</p><p>No. There are no extra costs apart from your own note-taking materials.</p><p>City Lit offers a variety of progression courses in this subject area. Please click <a href="https://www.citylit.ac.uk/media/wysiwyg/pdf/C2627_Technology_courses.pdf" target="_blank" rel="noopener noreferrer">here</a> to view our courses.</p><p> </p><p><strong>Disclaimer: Use of Third-Party Software</strong></p><p>AI tools (such as Gemini, Google AI Studio, ChatGPT, etc.) can be valuable for learning and productivity. However, many of these services-particularly those offered free of charge-may use the information you input, along with generated responses, to train and improve their models.</p><p>City Lit does not support, control or accept responsibility for these tools. Students should use personal email addresses when signing up for any software and are advised to review the provider’s privacy policy and terms of use to understand how their data is collected, processed, stored, and shared.</p><p>We do not recommend inputting sensitive, confidential, or personal information into these tools unless you have reviewed the product’s terms and conditions and are confident that its privacy and security measures meet your requirements.</p><ul><li>Examples of sensitive information include:<ul><li>Personal information</li><li>Student information</li><li>Confidential information</li><li>Sensitive information</li><li>Information about other people without their consent</li></ul></li></ul><p>Please also refer to our <a href="https://help.citylit.ac.uk/hc/en-gb/sections/16569136276637-Students" target="_blank" rel="noopener noreferrer">City Lit policies</a></p>AI & technologyTechnologyvirtual3075754Explainable AI and Agentic AI: Practical Understanding, Trust and Decision-Making159159https://www.citylit.ac.uk/media/catalog/category/ai-tools-and-applications-for-business-a-short-introduction-cmart35-1024.jpgInStockEveningWedHybrid (choose either online or in-person)Available courses1 to 4 weeksWeekday2027-01-13T00:00:00+00:00BeginnersJan 2027Business, marketing & technologyCMART98159159Explainable AI and Agentic AI: Practical Understanding, Trust and Decision-Making127103159Vina Theodorakopoulouexplainable-ai-and-agentic-ai-practical-understanding-trust-and-decision-making/cmart98-2627<p>Understand how AI systems make decisions and how emerging “agentic” AI tools work. Through hands-on activities and real-world examples develop practical skills to evaluate, interpret and use AI responsibly.</p>0000-Available|2027-01-13 00:00:00<p>Building on introductory knowledge of generative AI this course explores how artificial intelligence systems produce outputs and make decisions and how emerging “agentic” AI systems are beginning to act more autonomously.</p><p> </p><p>Understand how AI systems make decisions and how emerging “agentic” AI tools work. Through hands-on activities and real-world examples develop practical skills to evaluate, interpret and use AI responsibly.</p><p>The focus is on practical understanding. Learners will explore how to interpret AI outputs, identify risks such as bias and hallucinations and make informed judgements about when and how to use AI tools in everyday and workplace contexts.</p><p><br>Through demonstrations, hands-on activities and real-world examples the course develops confidence in working critically with AI rather than simply using it.</p><ul><li>How generative AI systems produce outputs</li><li>AI as a decision-support tool</li><li>AI hallucinations and limitations</li><li>Explainable AI (XAI) and why it matters</li><li>Bias and fairness in AI systems</li><li>Introduction to agentic AI and autonomous systems</li><li>Practical evaluation of AI outputs in real-world scenarios</li><li>Responsible and effective use of AI tools</li></ul><ul><li>Explain how generative AI systems produce outputs and decisions</li><li>Identify common limitations such as hallucinations and bias</li><li>Describe the concept of Explainable AI (XAI)</li><li>Understand what agentic AI is and how it is used</li><li>Evaluate the reliability of AI outputs</li><li>Use AI tools more critically and effectively in practical contexts</li></ul><p>This is an introductory course suitable for learners who have a basic awareness of AI or who have attended a general introductory course.</p><p>No technical background is required, but a willingness to engage actively with practical exercises and discussion will support learning.</p><p>This is an interactive course that includes:</p><ul><li>Tutor-led explanation</li><li>Live demonstrations</li><li>Hands-on use of AI tool(s)</li><li>Practical exercises and scenario-based activities</li><li>Group discussion and reflection</li></ul><p>There is no homework, although learners may wish to explore tools further after the session.</p><p>No. There are no extra costs apart from your own note-taking materials.</p><p>City Lit offers a variety of progression courses in this subject area. Please click <a href="https://www.citylit.ac.uk/media/wysiwyg/pdf/C2627_Technology_courses.pdf" target="_blank" rel="noopener noreferrer">here</a> to view our courses.</p><p> </p><p><strong>Disclaimer: Use of Third-Party Software</strong></p><p>AI tools (such as Gemini, Google AI Studio, ChatGPT, etc.) can be valuable for learning and productivity. However, many of these services-particularly those offered free of charge-may use the information you input, along with generated responses, to train and improve their models.</p><p>City Lit does not support, control or accept responsibility for these tools. Students should use personal email addresses when signing up for any software and are advised to review the provider’s privacy policy and terms of use to understand how their data is collected, processed, stored, and shared.</p><p>We do not recommend inputting sensitive, confidential, or personal information into these tools unless you have reviewed the product’s terms and conditions and are confident that its privacy and security measures meet your requirements.</p><ul><li>Examples of sensitive information include:<ul><li>Personal information</li><li>Student information</li><li>Confidential information</li><li>Sensitive information</li><li>Information about other people without their consent</li></ul></li></ul><p>Please also refer to our <a href="https://help.citylit.ac.uk/hc/en-gb/sections/16569136276637-Students" target="_blank" rel="noopener noreferrer">City Lit policies</a></p>AI & technologyTechnologyvirtual127159103CMART97,CMART98NONEWed14/10/26 - 21/10/2614:00 - 17:0014:0017:002 sessions (over 2 weeks)21 to 4 weeksWeekdayHybridHybrid (choose either online or in-person)Vina TheodorakopoulouBeginnersAvailable courses2026-10-14T00:00:00+00:00,2027-01-13T00:00:00+00:00Daytime,EveningOct 2026,Jan 2027Business, marketing & technology159159Explainable AI and Agentic AI: Practical Understanding, Trust and Decision-Makingexplainable-ai-and-agentic-ai-practical-understanding-trust-and-decision-making/cmart97-2627,explainable-ai-and-agentic-ai-practical-understanding-trust-and-decision-making/cmart98-2627<p>Understand how AI systems make decisions and how emerging “agentic” AI tools work. Through hands-on activities and real-world examples develop practical skills to evaluate, interpret and use AI responsibly.</p>0000-Available|2026-10-14 00:00:00<p>Building on introductory knowledge of generative AI this course explores how artificial intelligence systems produce outputs and make decisions and how emerging “agentic” AI systems are beginning to act more autonomously.</p><p> </p><p>Understand how AI systems make decisions and how emerging “agentic” AI tools work. Through hands-on activities and real-world examples develop practical skills to evaluate, interpret and use AI responsibly.</p><p>The focus is on practical understanding. Learners will explore how to interpret AI outputs, identify risks such as bias and hallucinations and make informed judgements about when and how to use AI tools in everyday and workplace contexts.</p><p><br>Through demonstrations, hands-on activities and real-world examples the course develops confidence in working critically with AI rather than simply using it.</p><ul><li>How generative AI systems produce outputs</li><li>AI as a decision-support tool</li><li>AI hallucinations and limitations</li><li>Explainable AI (XAI) and why it matters</li><li>Bias and fairness in AI systems</li><li>Introduction to agentic AI and autonomous systems</li><li>Practical evaluation of AI outputs in real-world scenarios</li><li>Responsible and effective use of AI tools</li></ul><ul><li>Explain how generative AI systems produce outputs and decisions</li><li>Identify common limitations such as hallucinations and bias</li><li>Describe the concept of Explainable AI (XAI)</li><li>Understand what agentic AI is and how it is used</li><li>Evaluate the reliability of AI outputs</li><li>Use AI tools more critically and effectively in practical contexts</li></ul><p>This is an introductory course suitable for learners who have a basic awareness of AI or who have attended a general introductory course.</p><p>No technical background is required, but a willingness to engage actively with practical exercises and discussion will support learning.</p><p>This is an interactive course that includes:</p><ul><li>Tutor-led explanation</li><li>Live demonstrations</li><li>Hands-on use of AI tool(s)</li><li>Practical exercises and scenario-based activities</li><li>Group discussion and reflection</li></ul><p>There is no homework, although learners may wish to explore tools further after the session.</p><p>No. There are no extra costs apart from your own note-taking materials.</p><p>City Lit offers a variety of progression courses in this subject area. Please click <a href="https://www.citylit.ac.uk/media/wysiwyg/pdf/C2627_Technology_courses.pdf" target="_blank" rel="noopener noreferrer">here</a> to view our courses.</p><p> </p><p><strong>Disclaimer: Use of Third-Party Software</strong></p><p>AI tools (such as Gemini, Google AI Studio, ChatGPT, etc.) can be valuable for learning and productivity. However, many of these services-particularly those offered free of charge-may use the information you input, along with generated responses, to train and improve their models.</p><p>City Lit does not support, control or accept responsibility for these tools. Students should use personal email addresses when signing up for any software and are advised to review the provider’s privacy policy and terms of use to understand how their data is collected, processed, stored, and shared.</p><p>We do not recommend inputting sensitive, confidential, or personal information into these tools unless you have reviewed the product’s terms and conditions and are confident that its privacy and security measures meet your requirements.</p><ul><li>Examples of sensitive information include:<ul><li>Personal information</li><li>Student information</li><li>Confidential information</li><li>Sensitive information</li><li>Information about other people without their consent</li></ul></li></ul><p>Please also refer to our <a href="https://help.citylit.ac.uk/hc/en-gb/sections/16569136276637-Students" target="_blank" rel="noopener noreferrer">City Lit policies</a></p>AI & technologyTechnologyconfigurable
