- OTHM Level 7 Deep Learning (T/651/3613) Assignment Brief 2026
- OTHM Level 7 Intelligent Agents (K/651/3600) Assignment Brief 2026
- Ethics, Fairness and Explanation in Artificial Intelligence (F/651/3608) Assignment Brief 2026
- Introduction to Artificial Intelligence (T/651/3604) Assignment Brief 2026
- HSC301 An introduction to Health and Social Care (D/615/3823) Assignment Brief 2026
- Strategic Financial Management (H/615/3242) Assignment Brief 2026
- OTHM Level 7 Corporate Reporting (D/615/3241) Assignment Brief 2026
- OTHM Level 7 Strategic Audit (Y/615/3240) Assignment Brief 2026
- Global Finance and Strategy (D/615/3238) Assignment Brief 2026
- OTHM Level 7 Investment Analysis (R/615/3236) Assignment Brief 2026
- HR9516 Human Resource Management Essentials Individual Assignment 1, 2026
- RES6009 Legal Research Project Assessment Brief 2026 | Arden University
- HR9537 Management Research and Analysis Assessment Brief 2026
- Unit 16 Business Data Analytics and Insights (M/618/5126) Assignment Brief 2026
- Unit 15 Business Communications and Relationship Management (F/650/2925) Assignment Brief 2026
- Qualifi Level 5 DIT508 Web Design 2 (M/617/6748) Assignment Brief 2026
- DIT510 Business to Consumer (B2C) E-commerce (K/617/6750) Assignment Brief 2026
- DIT506 Network Design and Administration (D/617/6745) Assignment Brief 2026
- DIT504 System Administration (R/617/6743) Assignment Brief 2026
- Unit 4 Leadership and Management (L/618/5036) Assignment Brief 2026
Artificial Intelligence and Sustainability (D/651/3607) Assignment Brief 2026
| University | OTHM Qualifications |
| Subject | Artificial Intelligence and Sustainability (D/651/3607) |
Artificial Intelligence and Sustainability Assignment Brief
| Qualification | OTHM Level 7 Diploma in Artificial Intelligence (610/4802/1) |
| Unit Reference Code | D/651/3607 |
| Unit Name | Artificial Intelligence and Sustainability |
| Credit | 20 |
| GLH | 100 |
| TQT | 200 |
| Mandatory / Optional | Mandatory |
| Unit Grading Type | Pass / Fail |
Assignment Aim
This unit aims to explore the intersection of Artificial Intelligence (AI) and sustainability, focusing on how AI can contribute to achieving the United Nations Sustainable Development Goals (UNSDGs). Learners will examine the role of AI in promoting resource efficiency, reducing environmental impacts, and supporting sustainable development. The unit will cover key concepts related to sustainable AI practices, such as energy efficiency, bias mitigation, and trustworthy AI, alongside practical applications of AI in areas like clean energy, waste management, and smart manufacturing.
Learning Outcomes and Assessment Criteria
| Learning Outcome – The learner will: | Assessment Criteria – The learner can: |
| 1. Understand the role of AI in promoting sustainability. | 1.1 Describe the potential of AI in supporting the UNSDGs.
1.2 Explain the applications of AI in resource management. 1.3 Analyse the impact of AI on reducing environmental footprints. 1.4 Evaluate the opportunities and challenges of using AI for sustainability. 1.5 Assess the future potential of AI in supporting global sustainability efforts. |
| 2. Be able to develop sustainable AI solutions. | 2.1 Develop AI models with a focus on energy efficiency.
2.2 Explain the importance of data efficiency in AI. 2.3 Critically analyse methods for identifying and mitigating bias in AI systems. 2.4 Evaluate the role of trustworthy AI in sustainable development. 2.5 Create a sustainable AI application for a specific industry or sector. |
| 3. Understand the ethical implications of AI in sustainability. | 3.1 Describe the ethical challenges associated with AI deployment in sustainability initiatives.
3.2 Explain the importance of ethical AI governance in sustainability. 3.3 Critically analyse the societal impacts of AI-driven sustainability initiatives. 3.4 Evaluate strategies for ensuring ethical AI in sustainable development. 3.5 Develop recommendations for ethical AI use in sustainability projects. |
| 4. Understand the application of AI in achieving specific UNSDGs. | 4.1 Describe the use of AI in clean energy initiatives.
4.2 Explain how AI can contribute to sustainable agriculture. 4.3 Analyse the role of AI in improving water management. 4.4 Critically evaluate the impact of AI on waste management and circular economy. 4.5 Critique the potential of AI in urban sustainability and smart cities. |
Assessment
To achieve a ‘pass’ for this unit, learners must provide evidence to demonstrate that they have fulfilled all the learning outcomes and meet the standards specified by all assessment criteria.
| Learning Outcomes to be met | Assessment Criteria to be covered | Assessment type | Word count (approx. length) |
| LO1-LO4 | All AC’s under LO1-LO4 | Coursework | 4,000 words |
Facing Issues with Artificial Intelligence and Sustainability (D/651/3607) Assignment?
The artificial intelligence and sustainability (D/651/3607) assignment can become challenging when AI models, environmental impacts and sustainable development goals must be critically evaluated in one coursework. Students searching for help with othm assignment can rely on Students Assignment Help for expert-written AI assignment help uk based on their unit requirements. Browse our OTHM coursework examples or order cheap coursework writing service for your 4,000-word solution.
Answer
