VII
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UnitVII.pdf
HLS3307VII.docx
There are numerous artificial intelligence applications used in homeland security for defense, intelligence, diplomacy, surveillance, cybersecurity, and other areas in both the public and private sector. For this assignment, you will create a PowerPoint presentation which examines current and emerging artificial intelligence (AI) and machine learning technologies being utilized in homeland security. Such technologies include but are not limited to:
1. metamaterial electronically scanning array (MESA) radar,
2. the global travel assessment system (GTAS),
3. APEX Screening at Speed
Your PowerPoint presentation must present at least three different types of artificial intelligence or machine learning technologies as follows:
1. Two of the AI/machine learning technologies you present should be in use today by first responders, local/state/federal law enforcement agencies, and/or private sector entities in their homeland security efforts.
2. Present one AI or machine learning technology that is in development or testing and expected to be used in future homeland security efforts.
For each of the three AI/machine learning technologies you present, you must:
1. Summarize their purpose and how they work and are (or can be) used in homeland security operations.
2. Explore how they assist in public and private sector homeland security efforts. Be sure to address specifically how they have advanced (or will advance) homeland security capabilities and effectiveness.
Your PowerPoint should conclude with a discussion of terrorist use of AI technology as a threat to homeland security.
Your PowerPoint presentation must be 8-10 slides, not including the title and reference slides. You must use the speaker notes function in PowerPoint to augment each content slide with a minimum of 75 words. The speaker notes should enhance or provide amplifying information on the slide content and not repeat it.
You must use a minimum of three sources, other than images, to support your presentation. Sources must be from academic or reliable industry resources. Al sources used must have proper citations and references in APA style.
UnitVII.pdf
HLS 3306, Homeland Security Technology 1
Course Learning Outcomes for Unit VII Upon completion of this unit, students should be able to:
4. Assess terrorist technological threats to homeland security.
5. Describe the future of homeland security technologies.
6. Investigate the use of artificial intelligence (AI) in homeland security. 6.1 Summarize artificial intelligence and machine learning technologies. 6.2 Discuss how AI and machine learning technologies have advanced homeland security
capabilities and effectiveness. 6.3 Convey emerging and future artificial intelligence technologies.
Required Unit Resources In order to access the following resources, click the links below. Khan, A., Imam, I., & Azam, A. (2021). Role of artificial intelligence in defence strategy: Implications for global
and national security. Strategic Studies, 41(1), 19. https://libraryresources.columbiasouthern.edu/login?url=https://search.ebscohost.com/login.aspx?dire ct=true&db=tsh&AN=150468892&site=ehost-live&scope=site
Verhelst, H. M., Stannat, A. W., & Mecacci, G. (2020). Machine learning against terrorism: How big data
collection and analysis influences the privacy-security dilemma. Science & Engineering Ethics, 26(6), 2975–2984. https://libraryresources.columbiasouthern.edu/login?url=https://search.ebscohost.com/login.aspx?dire ct=true&db=asn&AN=147734319&site=ehost-live&scope=site
Unit Lesson The lesson for this unit is presented in the following PowerPoint presentation and consists of both slide content and additional information provided in the audio narration. Click the speaker icon if it is shown on a slide to hear the additional lesson audio content. Unit VII Lesson PowerPoint Presentation You may also access this presentation with a transcript of the audio portions in printable form in the Unit VII PowerPoint PDF. A transcript for the audio portion of each slide can be viewed in the speaker notes section of each individual slide.
Suggested Unit Resources In order to access the following resources, click the links below. The following article examines the role and impact of artificial intelligence and machine learning on the intelligence community both now and in the future.
UNIT VII STUDY GUIDE
Artificial Intelligence (AI) in Homeland Security
HLS 3306, Homeland Security Technology 2
UNIT x STUDY GUIDE
Title
Brantly, A. F. (2018). When everything becomes intelligence: Machine learning and the connected world. Intelligence & National Security, 33(4), 562–573. https://libraryresources.columbiasouthern.edu/login?url=https://search.ebscohost.com/login.aspx?dire ct=true&db=tsh&AN=129927820&site=ehost-live&scope=site
The following Department of Homeland Security (DHS) webpage outlines the DHS artificial intelligence and machine learning technologies being created by the Science and Technology Directorate. U.S. Department of Homeland Security. (2020, September 9). Feature article: S&T’s transportation security
laboratory evaluates artificial intelligence and machine learning technologies. https://www.dhs.gov/science-and-technology/news/2020/09/09/feature-article-st-tsl-evaluates- artificial-intelligence
The following document outlines DHS’s artificial intelligence strategy. U.S. Department of Homeland Security. (2020, December 3). U.S. Department of Homeland Security artificial
intelligence strategy. https://www.dhs.gov/sites/default/files/publications/dhs_ai_strategy.pdf
- Course Learning Outcomes for Unit VII
- Required Unit Resources
- Unit Lesson
- Suggested Unit Resources
- Due in 1 hour
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