AI is an ever-developing field of technology, and has been growing rapidly over the last decade, but what exactly is it used for, and how does it affect us?
In my video, I wanted to talk about some of the practical applications for AI, as well as the pros and cons for its uses. My reasoning for this is that, aside from it being a topic that appeals to me greatly as a student of Information Technology, it’s also not clear-cut as to whether or not AI is a good thing, and I wanted to discuss both why AI is beneficial, and the issues and problems the use of AI presents.
This video took a great deal of research, as I didn’t want to cover just one aspect of AI’s use in the world; given this was an 8-minute-long video, I thought droning about a single issue wouldn’t draw the listener in, and would have required too much padding to meet the time requirements. As a result, the first thing I did was select a couple of topics that interest me in regards to AI development, and from there, pick out a handful of interesting cases to talk about. My sources were a combination of academic journals and newspaper articles talking about both the positive uses, and dangers, of AI.
Regarding the actual construction of the video, I took the feedback from my last video regarding it not having enough of a “personal” touch, and decided I would employ a combination of the strategies I used for my first and second videos; both talking to the camera and overlaying images that related to what I was talking about. I didn’t do much in the way of staging, though to film this video I did employ a new technique. Using the mobile app “DroidCam OBS”, I connected my phone to the OBS client on my computer, where I was able to record both using the best of both aspects – the higher quality video camera from my phone, and the higher fidelity audio setup on my computer. Once recorded, I exported the audio to Audacity to clean up some weirdness and remove as much of the background noise as I could (I live on a busy street!), then resynced the cleaned audio with the video in Premiere Pro.
This video took much more editing than my previous two, mainly due to the sheer amount of content within it. In all, the initial recording I took was 14 minutes long – mostly due to the fact I stutter, and respoke a number of paragraphs when I was unhappy with my delivery, and I managed to cut this down to just below 7 and a half minutes. Again, as with my previous video, I overlayed a number of images that reflected what I was speaking about, but this time they weren’t the main focus of the video – I was!
Finally, the music I used in the video is again my own, as in the first video. In all, there are three tracks. I used the same track for the introduction and conclusion, so that it would help tie the two together and give a sense of “coming full circle” to the video. The other two songs I interspersed throughout the video, and there were times where I cut the music entirely, in order to create a juxtaposition, particularly when the topic I was speaking on was heavier or more impactful.
The largest challenge I faced with creating this video was definitely speaking directly to the camera. Despite having done it a few times now, I still find it nerve-wracking to do so. I think this is apparent in the video itself; I think my overall tone becomes clearer, and it is obvious that I am getting into more of a flow and a rhythm, as the video goes on. It also took me much longer to research the topic than I had anticipated and planned for, which caused me to fall a bit behind on my deadline. This could likely have been mitigated if I’d narrowed my focus a bit, but again, I found that the topic was too diverse and interesting to simply talk about one aspect of AI!
In all, creating this video was a fantastic experience. I learned a great deal more than I thought I would about the uses of AI, and I hope that I was able to convey that learning well enough that you were able to pick up some new information too!
References
Harvard Professional Development. (2019, March 18). Business Applications for Artificial Intelligence: An Update for 2020. Retrieved from Harvard Division of Continuing Education: https://blog.dce.harvard.edu/professional-development/business-applications-artificial-intelligence-what-know-2019
Bothos, J. M., Thanos, K.-G., Kyriazanos, D. M., Vardoulias, G., Zalonis, A., Papadopoulou, E., & Corovesis, Y. (2018, February 2). Correlation and Dependence Analysis on Cyberthreat Alerts. ITU Journal: ICT Discoveries, 1(Special Issue 1).
Buolamwini, J. (2019, February 17). Artificial Intelligence Has a Problem With Gender and Racial Bias. Here’s How to Solve It. Retrieved from Time: https://time.com/5520558/artificial-intelligence-racial-gender-bias/
Cabrera, M. (2016, October 18). Sony develops algorithm based AI music. Retrieved from Reuters: https://www.reuters.com/article/us-sony-algorithm-idUSKBN12H1ST
DePompa, B. (2018). Time for a Diversity ‘Reboot’. SC Magazine: For IT Security Professionals, 27-29.
Dignum, V. (2017, September 25). Responsible Artificial Intelligence: Designing AI for Human Values. ITU Journal, 1(Special Issue 1).
Epstein, Z., Levine, S., Rand, D. G., & Rahwan, I. (2020). Who Gets Credit for AI-Generated Art? iScience.
Hulme, S., Morgan, A., & Brown, R. (2015). CCTV use by local government: Findings from a national survey. Research in practice no. 40.
Intel. (2017). The Future of AI in Law Enforcement: Intel-powered AI helps find missing children. Retrieved from Intel: https://www.intel.com/content/www/us/en/analytics/artificial-intelligence/article/ai-helps-find-kids.html
Jones, J. (2018, October 28). A portrait created by AI just sold for $432,000. But is it really art? Retrieved from The Guardian: https://www.theguardian.com/artanddesign/shortcuts/2018/oct/26/call-that-art-can-a-computer-be-a-painter
Kamensky, S. (2020). Artificial Intelligence and Technology in Health Care: Overview and Possible Legal Implications. DePaul Journal of Health Care Law, 1-18.
Kaplan, A., & Haenlein, M. (2019, January-February). Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, 62(1), 15-25.
Lauder, J. (2018, July 23). Mirror, mirror: How AI is using facial recognition to decipher your personality. Retrieved from Triple J Hack: https://www.abc.net.au/triplej/programs/hack/how-ai-is-using-facial-recognition-to-decipher-your-personality/10025634
Liang, W., Sun, M., He, B., Yang, M., Liu, X. Z., & Wang, Y. (2018, February 2). New Technology Brings New Opportunity for Tellecommunications Carriers: Artificial Intelligent Applications and Practices in Telecom Operators. ITU Journal, 1(Special Issue 1).
Marple, C. (2020). The Times They Are A-Changin’: How Music’s Mechanical Licensing System May Have Finally Moved Into the 21st Century. Richmond Journal of Law and Technology.
Marr, B. (2019, July 5). The Amazing Ways Artificial Intelligence Is Transforming The Music Industry. Retrieved from Forbes: https://www.forbes.com/sites/bernardmarr/2019/07/05/the-amazing-ways-artificial-intelligence-is-transforming-the-music-industry/#3eb2ce635072
Medler, B. (2018, September 24). The Role of Artificial Intelligence (AI) in Recruitment. Retrieved from Talentlyft: https://www.talentlyft.com/en/blog/article/207/the-role-of-artificial-intelligence-ai-in-recruitment
Miller, B. (2019, June 5). Cons of Using AI in the Recruiting Process. Retrieved from HR Daily Adviser: https://hrdailyadvisor.blr.com/2019/06/05/cons-of-using-ai-in-the-recruiting-process/
Nuffield Council on Bioethics. (2018). Artificial intelligence (AI) in healthcare and research.
Shelton, T. (2018, April 17). Facial recognition technology spots wanted man in crowd of 60,000 Chinese concert-goers. Retrieved from ABC News: https://www.abc.net.au/news/2018-04-17/chinese-man-caught-by-facial-recognition-arrested-at-concert/9668608
Walch, K. (2019, July 26). The Growth Of AI Adoption In Law Enforcement. Retrieved from Forbes: https://www.forbes.com/sites/cognitiveworld/2019/07/26/the-growth-of-ai-adoption-in-law-enforcement/#55e2b492435d
Woska, W. J. (2019). Equal Rights for Women: Not Yet. In R. R. Sims, & S. K. Bias, Contemporary Human Resources Management: Issues, Challenges and Trends (pp. 104-105). Charlotte: Information Age Publishing, Inc.
Zapata-Kim, L. (2016). Should YouTube’s Content ID be Liable for Misrepresentation Under the Digital Millenium Copyright Act? Boston College Law Review, 1848-1874.
Image References
Artificial Intelligence & AI & Machine Learning (https://www.flickr.com/photos/152824664@N07/30212411048) by mikemacmarketing (CC BY 2.0)
Business Leaders Minimum Wage Discussion at Linemark (https://www.flickr.com/photos/64018555@N03/12988936305) by MDGovpics (CC BY 2.0)
Art Appreciation II (https://www.flickr.com/photos/55608722@N06/13094234804) by Dusty J (CC BY 2.0)
Prime Minister of Australia Scott Morrison Visits ANC (https://www.flickr.com/photos/60564189@N06/48771220192) by Arlington National Cemetery (CC PDM 1.0)
Beast of a Job Interview (https://www.flickr.com/photos/9106303@N05/6125709344) by Mike Licht, NotionsCapital.com (CC BY 2.0)
Startup (https://www.flickr.com/photos/komunews/8034503390) by KOMUnews (CC BY 2.0)
Artificial Intelligence 2017 San Francisco (https://www.flickr.com/photos/43850926@N08/37176693686) by O’Rielly Conferences (CC BY-NC 2.0)
Server room (https://www.flickr.com/photos/8718930@N07/3462607995) by Torkild Retvedt (CC BY-SA 2.0)
CCTV camera (https://www.flickr.com/photos/33174580@N00/4632603680) by Mike Fleming (CC BY-SA 2.0)
Inauguración del Hospital Municipal de Chiconcuac (https://www.flickr.com/photos/90642778@N05/24152843976) by Presidencia de la República Mexicana (CC BY 2.0)
Day 70 – West Midlands Police – Special Constables at Birmingham Airport (https://www.flickr.com/photos/61718807@N07/6824179456) by West Midlands Police (CC BY 2.0)
Linkedin maps data visualization (https://www.flickr.com/photos/49503019876@N01/5418037955) by luc legay (CC BY-SA 2.0)
Twin CCTV Cameras (https://www.flickr.com/photos/66997121@N08/6285799012) by c-hq security services (CC BY 2.0)
arrest in Chicago (https://www.flickr.com/photos/98425334@N00/109047024) by grendelkhan (CC BY 2.0)
Demilitarize the Police, Black Lives Matter (https://www.flickr.com/photos/116193477@N08/28476745294) by Johnny Silvercloud (CC BY-SA 2.0)
Musicians performing at Pike Place Market anniversary celebration, 1972 (https://www.flickr.com/photos/24256351@N04/2958237819) by Seattle Municipal Archives (CC BY 2.0)
Soni listening to music (https://www.flickr.com/photos/37356381@N02/5381562346) by Ruben Garcia Mohedano (CC BY-NC-SA 2.0)
Porsche GT3 (https://www.flickr.com/photos/51117559@N03/6650949867) by Brett Levin Photography (CC BY 2.0)

