Social Science Homework

toddraf950
ArgumentationBrief.pdf

Internet Protection Laws: Deepfake Technology Protection Policy

Abrahim Ibrahim

California State University Los Angeles

COMM1200

Dr.Grau

3/2/23

Affirmative Argument Negative Counterargument

A. Problem: Deepfake technology cases are

on the rise, and people's lives are being ruined

as a result.

1. Statistics of deepfake technology

a. Deepfake technology usage increased

by 900% between 2018 and 2019,

A. Deepfake technology is challenging to

regulate, and policies that attempt to do so

must be more effective.

1. Those statistics by McAfee show

increased usage, not misuse

a. Deepfake technology's popularity can

be attributed to its numerous advantages

according to a McAfee report (Labs,

2018).

b. According to the same report, more

than 14,000 deepfake videos were

uploaded in 2019, up from 7,964 in

2018.

2. Consequences of deep fake technology

a. As in the case of QTCinderella, deep

fake technology can cause irreversible

damage to a person's reputation,

(Westerlund, 2019). For instance, it is

revolutionizing the film industry.

b. The growing popularity and number

of deepfake videos do not necessarily

indicate that the technology is being

abused. It could instead indicate that

people are becoming more aware of

technology's capabilities and finding

creative and innovative ways to use it

(Westerlund, 2019).

2. QTCinderella fell victim to abuse of

deepfake technology.

a. It is important to acknowledge that

any technology can be used for harmful

purposes. However, we must also

recognize that the potential benefits of

deepfake technology far outweigh the

negative consequences (Kwok & Koh,

2021).

b. Digital watermarking and verification

technologies are being developed to

combat the negative consequences of

career, and personal life (Meskys et

al., 2020).

b. Deep fake technology can also lead to

harassment and intimidation, as seen

in the case of women whose faces

were used in pornographic content

without their consent (Meskys et al.,

2020).

deepfake technology. These safeguards

can aid in the prevention of malicious

use of deepfake technology for

cyberbullying, harassment, and other

harmful purposes (Kwok & Koh, 2021).

References

Chesney, B., & Citron, D. (2019). Deep fakes: A looming challenge for privacy,

democracy, and national security. Calif. L. Rev., 107, 1753.

Gamage, D., Ghasiya, P., Bonagiri, V., Whiting, M. E., & Sasahara, K. (2022, April). Are

deepfakes concerning? Analyzing conversations of deepfakes on reddit and exploring

societal implications. In Proceedings of the 2022 CHI Conference on Human Factors

in Computing Systems (pp. 1-19).

Gieseke, A. P. (2020). " The New Weapon of Choice": Law's Current Inability to Properly

Address Deepfake Pornography. Vand. L. Rev., 73, 1479.

Kwok, A. O., & Koh, S. G. (2021). Deepfake: a social construction of technology

perspective. Current Issues in Tourism, 24(13), 1798-1802.

Labs, M. (2018, November 29). McAfee Labs 2019 Threats Predictions Report | McAfee

Blog. McAfee Blog.

https://www.mcafee.com/blogs/other-blogs/mcafee-labs/mcafee-labs-2019-threats-pre

dictions/

Meskys, E., Kalpokiene, J., Jurcys, P., & Liaudanskas, A. (2020). Regulating deep fakes:

legal and ethical considerations. Journal of Intellectual Property Law & Practice,

15(1), 24-31.

Westerlund, M. (2019). The emergence of deepfake technology: A review. Technology

innovation management review, 9(11).