Item 2 of the Portfolio: Annotated Bibliography (due in week 4)
Please wait u
Item 2 of the Portfolio: Annotated Bibliography (due in week 4)
Please wait until the Monday of Week 4 to submit your assignment.
*If you have extenuating circumstances requiring you to submit early, please email me ahead of time to let me know.
Double-Space all assignments.
Include the appropriate heading and title for your paper:
For your final paper, you will need to cite information from four credible sources to help support your discussion. This assignment will get you started finding the first three.
This week, you will submit an annotated bibliography for three (3) of your sources for the final project paper. Two sources should be scholarly (peer-reviewed) and from the APUS Library. Read the instructions for upcoming assignments so you will have a good idea of sources you might need.
Each source (listed in alphabetical order) should have a complete Works Cited or References entry for the citation style you are using, as well as an annotation, which should be a minimum of five sentences long, with approximately three sentences summarizing what the source is about and two sentences explaining how this source will be of use to you in your final paper.
Annotations that are less than five sentences and fail to summarize what the source is about and explain how it will be of use to you in your final project will be considered under-developed and earn lower scores.
Write in third person only and write your annotations entirely in your own words.
To format your Works Cited or References entries, you may use the library cite button discussed in the week four Lessons. Include the article’s web link (the https address—not just the doi) at the end of your Works Cited entry. Just copy and paste it from your web browser, if it is not already included. Examples are shown in the attached Template (which you will download) and Sample (which is attached to show you an example of what a good submission looks like).
Submit your assignment as a Word document attached to the assignment link so it can be automatically processed through Turnitin. Use the template provided. You can save the template with a title like this: Your Name_Annotated Bib.
Due on Feb 2, 2025 11:55 PM
Attachments
Sample Annotated Bibliography.docx (21.74 KB)
MLA_TEMPLATE_Annotated_Bib.docx (20.51 KB)
APA_TEMPLATE_Annotated_Bib.docx (20.09 KB)
Hide Rubrics
Rubric Name: ENGL110 Annotated Bibliography
Criteria
Exemplary
Accomplished
Developing
Beginning
Did not attempt
Criterion Score
Source Selection
40 points
Student chooses two (2) scholarly sources relevant to topic meeting requirements of assignment. Sources come from scholarly journals in the APUS library.
34 points
Student chooses two (2) sources relevant to topic meeting requirements of assignment. One (1) may not come from a scholarly journal in the APUS library.
30 points
Student chooses one (1) source relevant to topic meeting requirements of assignment. One may not come from a scholarly journal in the APUS library.
26 points
Student chooses sources that may not be relevant to topic meeting requirements of assignment. The sources may not come from scholarly journals in the APUS library.
0 points
Student chooses no sources.
Score of Source Selection,/ 40
Source Summary
20 points
Annotations are clear, concise summaries of source materials, demonstrating student has read and understands sources.
17 points
Annotations are summaries of source materials, but may not include key elements and may not demonstrate student’s understanding of source.
15 points
Annotations provide information about source materials, but may not include key elements, may not be clear, and may not demonstrate student’s understanding of source.
13 points
Annotations do not set forth key elements of sources and may not demonstrate student’s understanding of source.
0 points
No annotation
summaries are included.
Score of Source Summary,/ 20
Source Evaluations
20 points
Annotations explain value of sources to the paper; apply to sources clear criteria, such as objectivity, currency, accuracy, reliability, and relevance; and include any issues of concern.
17 points
Annotations explain value of sources to the paper; apply to sources criteria, which may be clear but may raise questions; and may include any issues of concern.
15 points
Annotations do not fully explain value of sources to the paper; base evaluations on criteria which are unclear and/or inconsistent; and may not include any issues of concern.
13 points
Annotations do not explain value sources to the paper; do not base evaluations on stated criteria; and do not include any issues of concern.
0 points
No annotation evaluations are included.
Score of Source Evaluations,/ 20
Formatting
10 points
No errors in formatting rules for citation style of discipline (margins, spacing, font, headers, page numbering, etc).
8.5 points
Two (2) or fewer errors in formatting rules for citation style of discipline (margins, spacing, font, headers, page numbering, etc).
7.5 points
Four (4) errors in formatting rules for citation style of discipline (margins, spacing, font, headers, page numbering, etc).
6.5 points
Five (5) errors in formatting rules for citation style of discipline (margins, spacing, font, headers, page numbering, etc).
0 points
Evidence of efforts to meet formatting rules for citation style of discipline is not seen.
Score of Formatting,/ 10
Grammar / Mechanics
10 points
Annotated bibliography shows evidence of careful proofreading and has two (2) or fewer mechanical, grammatical, punctuation, or spelling errors.
8.5 points
Annotated bibliography shows evidence of some proofreading and has three (3) or more mechanical, grammatical, punctuation, or spelling errors.
7.5 points
Annotated bibliography shows evidence of minimal proofreading and has five (5) or more mechanical, grammatical, punctuation, or spelling errors
6.5 points
Annotated bibliography shows evidence of minimal proofreading and has seven (7) or more mechanical, grammatical, punctuation, or spelling errors.
0 points
Evidence of efforts to proofread and correct mechanical, grammatical, punctuation, or spelling errors is not seen.
Score of Grammar / Mechanics,/ 10
Total
Score of ENGL110 Annotated Bibliography,/ 100
Overall Score
Exemplary
90 points minimum
Accomplished
80 points minimum
Developing
70 points minimum
Beginning
60 points minimum
Did not attempt
0 points minimum
Note: The information in this sample is to help you. Copying and pasting info from this sample into your assignment violates the university’s academic integrity standards and will be flagged as plagiarism.
APUS Student
ENGL110
Professor X
December 5, 2024
Citation Style: APA
Annotated Bibliography
Golden, P. E. (2020). “DoD’s Artificial Intelligence Problem.” The Army Lawyer, (2), 76-85. http://ezproxy.apus.edu/login?qurl=https%3A%2F%2Fwww.proquest.com%2Ftrade-journals%2Fdods-artificial-intelligence-problem%2Fdocview%2F2408562843%2Fse-2%3Faccountid%3D8289
Some people believe that Artificial Intelligence (AI) will represent humanity’s fourth industrial revolution, and it will drive evolutionary and revolutionary advancement. In 2017 the United States Congress issued a joint resolution called The Fundamentally Understanding the Usability and Realistic Evolution of Artificial Intelligence Act of 2017 (Future Act). This joint resolution focuses on a better understanding of current AI applications, the potential of AI, and its current and how it is expected to impact society. In 2019 the National Defense and Authorization Act tasked the DoD to establish a set of activities within the DoD to coordinate the efforts of the Department to develop, mature and transition AI technologies into operational use. In 2019 a guidepost was released for government, industry, and academia in AI capabilities. It is called the American AI Initiative; five guiding principles are intended to coordinate efforts for AI development. Addressing ethical aspects of AI and ethical transparency in developing and employing AI systems is critical for setting expectations within the DoD.
The information will be used in the final portfolio to discuss the origins of AI, its ethical considerations, sources of funding, AI development and acquisition processes, and workforce reform.
Harari, Yuval Noah. (Sept. 24, 2024). “What Happens When the Bots Compete for Your Love?” The New York Times. https://www.nytimes.com/2024/09/04/opinion/yuval-harari-ai-democracy.html
Harari is a historian and the author of the book Nexus: A Brief History of Information Networks From the Stone Age to AI (2024) from which this essay is adapted. In it, he makes the assertion that the survival of democracy is dependent on reliable information technology, something that is becoming more and more obscured, both in the US and around the world. Today, people are overwhelmed by a glut of information, resulting both in shorter attentions spans and a deluge of toxic information, much of it mis- and disinformation, and more specifically propaganda. Add to this the fact that artificial intelligence is capable of not only producing texts, images and videos, but also conversing with us directly, pretending to be human. Harari argues that these manipulative abilities of AI pose new dangers to our democracy.
This article will be of use to me when writing my final paper since it discusses the dangers and threats posed by AI, both to individuals and collectively to our democracy. Information is power, and understanding how AI works, not just as a tool for humans but as an agent with its own power and volition, will enable us to better prepare for what’s to come in the next phase of the information age.
Liang, W., Tadesse, G. A., Ho, D., Fei-Fei, L., Zaharia, M., Zhang, C., & Zou, J. (2022). “Advances, challenges and opportunities in creating data for trustworthy AI.” Nature Machine Intelligence, 4(8), 669-677. https://www.proquest.com/docview/2928443650/fulltext/C6824ED300DB433BPQ/1?accountid=8289&sourcetype=Scholarly%20Journals
In the last couple of years Artificial Intelligence (AI) has improved greatly and it is only going up. And with the development of AI, AI model building gets easier with automation of machine learning for example. With the increasing ease of model building, creating datasets for AI remains a problem due to the cost of curation and annotation. More attention needs to be placed on developing methods and standards to improve the data for the AI pipeline. Once a dataset is collected, careful selection of a subset of data is used for training so the AI can improve the reliability of the model. Government regulation and data policy will play an important part in promoting, constraining, and shaping data-centric and trustworthy AI.
In the final portfolio, the information will be used to compare model-centric versus data-centric approaches in AI. The portfolio will also cover data design for AI, exploring the process from data design to evaluation. It will discuss the steps involved in handling data after the initial dataset is collected. Finally, the portfolio will examine how data can be leveraged to evaluate and monitor AI models.