AI Literature Review Research
Budget: $10 – $30 USD
The project involves producing a thorough literature review that maps the current state-of-the-art in Artificial Intelligence. I need a well-structured paper that surveys key academic and industry sources published over roughly the last five years, identifies major research themes, highlights gaps, and suggests future directions.
Scope
• Focus exclusively on Artificial Intelligence within the broader Science & Technology domain.
• Cover peer-reviewed journals, top-tier conference proceedings (e.g., NeurIPS, ICML, ICLR), and high-impact white papers.
• Compare and contrast at least three sub-areas—such as deep learning, reinforcement learning and ethical AI—to illustrate trends across the field.
Deliverables
1. 6,000–8,000-word literature review (Word or Google Doc) using APA or IEEE citation style.
2. Complete reference list exported from Zotero, Mendeley or similar, with live DOI or URL links.
3. One-page executive summary distilling the key insights for a non-technical stakeholder.
Acceptance criteria
• Content is evidence-based, logically organized, and free of plagiarism (Turnitin score ≤ 10 %).
• Every reference is from a credible source published 2019 or later unless foundational.
• Clear section headers: Introduction, Method for Source Selection, Thematic Discussion, Research Gaps, Future Work, Conclusion.
I will gladly answer domain-specific questions and can share a shortlist of starter papers if that helps streamline your search.
Scope
• Focus exclusively on Artificial Intelligence within the broader Science & Technology domain.
• Cover peer-reviewed journals, top-tier conference proceedings (e.g., NeurIPS, ICML, ICLR), and high-impact white papers.
• Compare and contrast at least three sub-areas—such as deep learning, reinforcement learning and ethical AI—to illustrate trends across the field.
Deliverables
1. 6,000–8,000-word literature review (Word or Google Doc) using APA or IEEE citation style.
2. Complete reference list exported from Zotero, Mendeley or similar, with live DOI or URL links.
3. One-page executive summary distilling the key insights for a non-technical stakeholder.
Acceptance criteria
• Content is evidence-based, logically organized, and free of plagiarism (Turnitin score ≤ 10 %).
• Every reference is from a credible source published 2019 or later unless foundational.
• Clear section headers: Introduction, Method for Source Selection, Thematic Discussion, Research Gaps, Future Work, Conclusion.
I will gladly answer domain-specific questions and can share a shortlist of starter papers if that helps streamline your search.