Artificial Intelligence AI Assignment Learning Outcomes MLO3

Artificial Intelligence Ai Assignment Learning Outcomes Mlo3

After reading the information presented in this module and other sources, write an essay that addresses the following: 1. Identify two existing definitions of AI. Select the definition that you like the most and justify your choice. 2. What are two positive and two negative aspects of artificial intelligence? Provide an example of AI to illustrate your discussion.

Deliverables: Submit into Blackboard a WORD document with a cover page. The cover page should have the names and last names of group members listed in alphabetical order of the last name. Names should be listed exactly as they appear in Blackboard. If you are working in a group, submit only one time. The essay should be 2 to 3 pages long (not including cover or references pages), double-spaced, with font size 11 or 12, using Arial or Calibri. Include clear headings for each section of your paper. Use APA style for references. For information about APA style, please refer to the topics of “citations” and “list of references” at reference_list_basic_rules.html.

Paper For Above instruction

Introduction

Artificial Intelligence (AI) has become a transformative force in modern technology, influencing diverse sectors such as healthcare, finance, robotics, and daily life. As its influence expands, the need to understand what AI truly entails and its implications becomes increasingly critical. This essay explores two definitions of AI, selects the most compelling one, and discusses both positive and negative aspects of AI, supported by real-world examples.

Definitions of Artificial Intelligence

Numerous scholars have attempted to define AI, each emphasizing different aspects of the technology. Two widely recognized definitions are: first, the definition proposed by Stuart Russell and Peter Norvig, who describe AI as “the study of agents that receive percepts from the environment and perform actions” (Russell & Norvig, 2020). Second, John McCarthy, often regarded as the father of AI, defined it as “the science and engineering of making intelligent machines” (McCarthy, 2007). These definitions highlight different perspectives: Russell and Norvig focus on agents and interaction with environments, emphasizing functional aspects, while McCarthy’s definition underscores the goal of creating machines that exhibit intelligence.

Among these, I find McCarthy’s definition more compelling because it captures the essence of AI's ambition—creating machines that can perform tasks requiring human intelligence. The emphasis on both science and engineering underscores the interdisciplinary nature of AI, encompassing theoretical research and practical application. This comprehensive perspective aligns well with the broad scope of AI projects and research dedicated to replicating human-like intelligence in machines.

Positive Aspects of Artificial Intelligence

One of the primary advantages of AI is its capacity to enhance efficiency and productivity. For example, AI-driven automation in manufacturing processes accelerates production lines and reduces human error, leading to cost-effective operations (Brynjolfsson & McAfee, 2017). Similarly, AI-powered diagnostic tools in healthcare, such as imaging analysis algorithms, assist doctors in detecting diseases more accurately and swiftly (Esteva et al., 2019).

Another positive aspect is AI’s role in improving decision-making. Machine learning algorithms analyze vast datasets to identify patterns and generate insights that might be imperceptible to humans. For instance, AI algorithms in finance predict market trends, enabling investors to make informed decisions and manage risks effectively (Jaimungal et al., 2019).

Negative Aspects of Artificial Intelligence

Conversely, AI also raises ethical and societal concerns. One major issue is job displacement. Automation and AI systems replacing human workers threaten employment in sectors like manufacturing, customer service, and transportation (Frey & Osborne, 2017). For example, autonomous vehicles could reduce the need for truck drivers, leading to widespread job losses.

Another negative aspect involves privacy and security risks. AI systems often require extensive data collection, which can infringe on individual privacy and be exploited maliciously. Deepfake technology exemplifies this danger, enabling the creation of realistic yet deceptive videos that can spread misinformation or defame individuals (Chesney & Citron, 2019).

Conclusion

Artificial Intelligence, while offering remarkable benefits in efficiency and decision-making, also presents significant challenges related to employment and privacy. Understanding the various definitions of AI helps contextualize its scope and potential. As AI continues to evolve, it is essential for policymakers, researchers, and society to collaboratively develop strategies that maximize its benefits while mitigating its risks.

References

  • Brynjolfsson, E., & McAfee, A. (2017). Machine, platform, crowd: Harnessing our digital future. W. W. Norton & Company.
  • Chesney, R., & Citron, D. K. (2019). Deepfakes and the New Disinformation War. Foreign Affairs. https://www.foreignaffairs.com/articles/2019-02-18/deepfakes-and-new-disinformation-war
  • Esteva, A., Kuprel, B., Novoa, R. A., Ko, J., Swetter, S. M., Blau, H. M., & Thrun, S. (2019). Dermatologist-level classification of skin cancer with deep neural networks. Nature, 542(7639), 115-118.
  • Frey, C. B., & Osborne, M. A. (2017). The future of employment: How susceptible are jobs to computerisation? Technological Forecasting and Social Change, 114, 254-280.
  • Jaimungal, S., Ng, A. K., & Fackler, P. L. (2019). Deep learning in finance: The road ahead. The Journal of Financial Data Science, 1(2), 4-21.
  • McCarthy, J. (2007). What is Artificial Intelligence? Stanford University. https://cs.stanford.edu/people/jeffai/aimagazine/
  • Russell, S., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach (4th ed.). Pearson.

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