Ethics & Foundations of AI Use
Use AI better, with human judgement at the centre
تفاصيل الدورة
لغة الدورة
تُدرَّس هذه الدورة بالكامل بلغة English.
لغة الدورة: الإنجليزية
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استمع إلى المقدّمة
أهداف التعلّم
- Understand what AI can and cannot do
- Distinguish credible developments from hype and inflated claims
- Recognise where human judgement and responsibility remain essential
- Decide when AI is useful, unnecessary or inappropriate
- Write prompts with clearer intentions, context and constraints
- Refine AI outputs through deliberate iteration
- Evaluate outputs for accuracy, relevance, quality, bias and uncertainty
- Identify ethical, contextual and organisational risks in AI-supported work
- Protect their voice, authorship, standards and credibility
- Integrate AI into workflows without surrendering ownership or accountability
- Create a Personal Context File to improve the relevance of AI support
- Develop a sustainable personal framework for responsible AI use
المهارات التي ستكتسبها
وصف الدورة
Most AI courses begin with speed: how to produce faster, automate more and keep up. This course begins somewhere else- with judgement. AI is often presented through urgency, inflated claims and pressure to adopt new tools quickly. Yet responsible use requires more than technical confidence. It requires an understanding of what AI can and cannot do, the ability to evaluate its outputs critically, and the judgement to decide when its use is appropriate. This course responds to what CTDC has documented across organisations, education, professional life and everyday practice: AI being used quickly, but not always carefully. It is not anti-AI. It takes AI seriously- including its capabilities, limitations, risks and wider social and ecological costs. The course first establishes a grounded understanding of how AI works and why fluent outputs should not be confused with understanding, judgement or accountability. Learners examine the pressures and assumptions surrounding AI, distinguish value from productivity, and identify the forms of human contribution that cannot be reduced to tasks or outputs. From this foundation, participants develop practical skills in intentional prompting, iteration, output evaluation and workflow design. They learn how to give AI relevant context, test rather than simply accept its responses, protect their own voice and standards, and determine where AI can strengthen their work without displacing authorship or responsibility. The course includes practical resources for building a personalised and sustainable AI practice, including a Personal Context File framework, a Voice Profile resource and frameworks for scaling work responsibly across formats and audiences. Because AI tools will continue to change, the course does not depend on mastering a particular platform. It develops more durable capacities: judgement, reflection, critical thinking, selective use and accountable decision-making. The aim is not simply to use AI more. It is to use AI better- with clarity, ethics and human judgement at the centre.
المتطلبات
- No previous technical knowledge or AI expertise
- No need to master every AI tool
- Access to an internet-connected computer or tablet
- Access to a generative AI tool for practical exercises
- A willingness to pause, reflect and question assumptions
- A real task, role or area of work through which to apply the learning
منهج الدورة
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1.1 Why AI Feel Overwhelming
11:00 مقفل -
1.1 Reflection
01:00 مقفل -
1.2 What AI Is (and Is Not)
12:00 مقفل -
1.2 Reflection
01:00 مقفل -
1.3 Why the Noise Exists
10:00 مقفل -
1.3 Recognising the AI Noise
01:00 مقفل -
1.4 What this Course Is (and Is Not)
08:00 مقفل -
1.4 Spot the Confusion
01:00 مقفل -
Module 1: Knowledge Test
05:00 مقفل
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2.1 Before you continue
01:00 مقفل -
2.1 Productivity as a Narrow Lens
12:00 مقفل -
2.1 Reflection
02:00 مقفل -
2.2 Invisible Work, Judgment and Responsibility
15:00 مقفل -
2.2 Exercise: Invisible Work
05:00 مقفل -
2.3 Widening the Lens on Value, Metrics, Judgment and Contribution
21:00 مقفل -
2.3 Value Mapping
03:00 مقفل -
Module 2: Knowledge Test
مقفل
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3.1 Beyond Skills: Judgment, Responsibility, and Human Value in the Age of AI
19:00 مقفل -
3.1.1 Reflection
مقفل -
3.1.2 Skills Worksheet
02:00 مقفل -
3.2 Where AI Breaks without Humans
11:00 مقفل -
3.2 Checklist: AI Failures
مقفل -
3.3 Pre-video Worksheet
02:00 مقفل -
3.3 Human Value Statements
24:00 مقفل -
3.3 AI Response Control Toolkit
02:00 مقفل -
Module 3: Knowledge Test
مقفل
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4.1 Amplification versus Substitution
11:00 مقفل -
4.1 Reflective Practice
01:00 مقفل -
4.2 What Good AI Use Looks Like
15:00 مقفل -
4.2 Activity
02:00 مقفل -
4.3 What Bad AI Use Looks Like
14:00 مقفل -
4.3 Checklist
02:00 مقفل -
4.4 Deciding Where AI Fits
12:00 مقفل -
4.4 Exercise
02:00 مقفل -
4.4 Resources
مقفل -
Module 4: Knowledge Test
مقفل
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5.1 Intentional Prompting and Iteration
35:00 مقفل -
5.1.A Practice
02:00 مقفل -
5.1.B Practice
مقفل -
5.2 Evaluating and Rejecting AI Outputs
17:00 مقفل -
5.2 Activity
02:00 مقفل -
5.3 Building an AI Output System
36:00 مقفل -
5.3.1 AI as a Thinking Partner
02:00 مقفل -
5.3.2 Voice Profile
02:00 مقفل -
5.3.3 Scaling Outputs
02:00 مقفل -
Module 5: Knowledge Test
مقفل
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6.1 AI in Real Workflows
20:00 مقفل -
6.1 Exercise
02:00 مقفل -
6.2 Contextual Constraints and Risks
13:00 مقفل -
6.2 Exercise
02:00 مقفل -
6.3 Quality, Ethics and Accountability
12:00 مقفل -
6.3 Accountability in Practice
مقفل -
6.4 Consolidation, Toolkit and Transition
16:00 مقفل -
6.4 Toolkit: AI in Practice
02:00 مقفل -
Module 6: Knowledge Test
مقفل
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7.1 Integration: AI, Judgment, and Leverage
14:00 مقفل -
7.2 The Discipline of Responsible AI Practice
11:00 مقفل -
End of Course Test (Marked)
مقفل
تعرّف على مدرّبَيك
Dr Nour Abu-Assab
Co-Founder & Co-Executive Director, CTDC | Academic, Educator, Mentor & Entrepreneur | AI-Enabled Learning Innovation & Organisational Systems Design
Dr Nof Nasser-Eddin
Co-Founder & Co-Executive Director, CTDC | Psychotherapy-Informed Educator & Academic | Building People-Centred Organisations & Venturesتقييمات الطلاب
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