Tasks and Duties
Objective
The purpose of this task is to introduce you to the planning and strategy phase in the field of artificial intelligence. You will identify an AI problem or opportunity that holds significant potential impact, and develop a strategic plan outlining how to approach its solution. This task is designed for students enrolled in the Artificial Intelligence course to think critically and constructively about AI innovations.
Task Description
Your job is to explore a real-world problem that can be addressed with AI technologies. You are required to perform research on the problem, analyze potential AI-based interventions, and develop a comprehensive roadmap for deploying a solution. Prepare a DOC file that includes a detailed problem statement, literature review summary, proposed AI methodology, and expected outcomes. Your plan should include a timeline, resources you anticipate needing, and risk mitigation strategies for potential challenges. Document each step with clear, structured arguments and references to publicly available materials.
Key Steps
- Define and describe the AI problem or opportunity in detail.
- Research relevant AI techniques and methodologies that can be applied.
- Create a strategic plan with a roadmap including steps, timelines, and resource planning.
- Discuss potential risks, challenges, and ethical considerations.
- Compile your findings into a well-structured DOC file with clear sections.
Evaluation Criteria
Your submission will be evaluated on clarity, depth of research, the viability of the proposed AI strategy, and the organization of your DOC file. The detail provided in your plan should reflect a 30-35 hour workload analysis.
Objective
This task is focused on the execution phase where you explore and define the design of an AI model for the problem identified in Week 1, or for another innovative scenario if preferred. The goal is to outline a detailed blueprint for an AI model, including architecture diagrams and prototype concepts. You will demonstrate the planning required for turning theoretical strategies into executable solutions.
Task Description
In this task, you must develop a DOC file illustrating a comprehensive design for an AI model. Your DOC file should include sections on model architecture, algorithm selection, data handling and preprocessing methods, and anticipated challenges in model training and deployment. You will need to articulate how the model will interpret data, make predictions, or perform classifications. Utilize publicly available resources as references for AI design principles. A clear and concise rationale for your design decisions must be provided.
Key Steps
- Outline the AI model’s overall objectives and functions.
- Detail the architecture design including flow diagrams and decision trees.
- Specify core algorithms and machine learning techniques relevant to the task.
- Describe data management strategies including data sourcing, cleaning, and preprocessing.
- Address anticipated challenges and propose preliminary solutions.
Evaluation Criteria
You will be assessed on the logical structure, depth in design, clarity in diagrams, and the comprehensive nature of your prototype blueprint. The DOC file should clearly evidence a 30-35 hour effort.
Objective
During Week 3, the focus shifts to evaluating the performance of an AI strategy or model design. You will simulate evaluation methods and articulate potential improvements. This task is designed to illustrate your ability to critically assess an AI model and to propose modifications for better outcomes.
Task Description
Your assignment is to produce a comprehensive evaluation report in a DOC file by synthesizing key elements of testing and refinement processes. Your report must include sections where you define evaluation metrics, describe validation techniques, and illustrate how these metrics would be used to refine an AI model. Include a risk assessment analysis where pitfalls and biases are identified. Even if you are not running an actual AI model, your analysis should reflect a robust understanding of model evaluation and improvement strategies. Support your arguments with references to public research and methodologies, and propose a detailed plan for model re-training or re-adjustment based on various feedback scenarios.
Key Steps
- Define clear evaluation criteria and performance metrics for the AI model.
- Outline the methodology for data splitting, validation, and testing.
- Identify possible issues such as overfitting, underfitting, or bias.
- Propose improvements based on hypothetical results.
- Structure the evaluation report with logical flow in the DOC file.
Evaluation Criteria
Submissions will be evaluated based on the comprehensive interpretation of evaluation techniques, depth of analysis on potential improvements, and the coherence and organization of the DOC file. Demonstrate how a robust 30-35 hour analysis process was applied to envision improvements.
Objective
The final task focuses on the synthesis of future insights and innovative directions in the AI field. You are expected to assess emerging trends, forecast potential impacts of new technologies, and propose forward-thinking ideas that could shape the future landscape of AI applications.
Task Description
This assignment requires you to produce a detailed DOC file analyzing current and emerging trends in the field of artificial intelligence. Consider technological trends such as explainable AI, AI ethics, and data privacy, and explore how these might evolve in the coming years. Your report should include a section that contrasts current AI applications with futuristic concepts, identifying gaps and opportunities for innovation. Detail potential business or societal impacts, ethical considerations, and the implications of AI advancements. Additionally, propose a conceptual framework that envisions how AI may integrate with other technologies. Incorporate public domain research, white papers, academic articles, and thought leadership insights to support your analysis. The report should also include a detailed action plan for experimenting with or piloting innovative ideas, outlining required resources, milestones, and expected challenges.
Key Steps
- Conduct a trend analysis on current and emerging AI technologies.
- Discuss the impact of AI on different industries and ethical aspects.
- Create a futuristic framework to guide the integration of emerging technologies.
- Outline an action plan with timelines and resource estimates.
- Compile all findings into a well-structured DOC file.
Evaluation Criteria
Your submission will be judged on how well you forecast future trends, innovative potential, and creativity in addressing challenges. The clarity, depth, and structure of the DOC file must reflect a comprehensive 30-35 hour effort in analytical thinking and planning.