Artificial Intelligence AI Assignment Learning Outcom 076008

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.

Paper For Above instruction

Artificial Intelligence (AI) is a transformative field in modern technology, fundamentally aimed at creating machines that can perform tasks typically requiring human intelligence. Its goal is to develop systems capable of reasoning, learning, and adapting autonomously, thereby enhancing various industries and daily life. This essay explores different definitions of AI, selects a preferred definition, and discusses two positive and negative aspects of AI, supported by relevant examples.

Definitions of Artificial Intelligence

Several scholars and institutions have offered definitions of AI, each emphasizing different facets of the field. One commonly cited definition by Stuart Russell and Peter Norvig describes AI as “the study of agents that receive percepts from the environment and perform actions” (Russell & Norvig, 2016). This definition underscores the autonomous decision-making aspect of AI systems. Another notable definition by the Association for the Advancement of Artificial Intelligence (AAAI) characterizes AI as “the scientific understanding of the nature of intelligence and the design of intelligent agents” (AAAI, 1990). While both definitions capture core elements of AI, I find Russell and Norvig’s operational focus more compelling due to its emphasis on agency and interaction with the environment.

Justification for the Chosen Definition

The preference for Russell and Norvig’s definition stems from its pragmatic approach, which aligns with contemporary AI developments such as autonomous vehicles and robotics. By framing AI as agents capable of perceiving and acting within their environment, this definition facilitates the design and evaluation of intelligent systems that can adapt and learn. It also encapsulates core AI concepts such as perception, decision-making, and action, essential for understanding AI's application across various domains (Russell & Norvig, 2016). Additionally, this definition’s emphasis on agents supports a functional perspective, making it more applicable to real-world AI implementations.

Positive Aspects of Artificial Intelligence

1. Enhancement of Efficiency and Productivity: AI systems significantly improve efficiency in industries such as manufacturing, healthcare, and logistics. For example, AI-powered diagnostic tools analyze medical images with high accuracy, enabling faster and more reliable diagnoses, which can lead to better patient outcomes (Esteva et al., 2019).

2. Automation of Repetitive Tasks: AI automates mundane and repetitive tasks, reducing human workload and freeing up individuals for more creative and complex activities. For instance, chatbots provide 24/7 customer support, handling common inquiries efficiently and improving customer satisfaction (Adam et al., 2020).

Negative Aspects of Artificial Intelligence

1. Job Displacement: AI-driven automation threatens employment in certain sectors, particularly roles involving routine tasks. The rise of autonomous vehicles poses risks to professional drivers, while AI in manufacturing may reduce factory jobs, leading to economic and social challenges (Brynjolfsson & McAfee, 2014).

2. Bias and Ethical Concerns: AI systems can perpetuate or amplify biases present in training data, leading to unfair outcomes. For example, biased facial recognition algorithms have demonstrated racial and gender disparities, raising concerns about privacy and civil rights (Buolamwini & Gebru, 2018).

Conclusion

Artificial intelligence continues to evolve as a crucial technological innovation with the potential to revolutionize various aspects of society. Its primary goal is to develop agents capable of autonomous perception and action, which can significantly improve efficiency and automate routine tasks. However, these advancements come with challenges, including job displacement and ethical issues related to bias. Balancing the benefits and risks of AI requires ongoing research, regulation, and ethical considerations to ensure its responsible deployment.

References

  • AAAI. (1990). Artificial Intelligence. Retrieved from https://www.aaai.org
  • Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. W.W. Norton & Company.
  • Buolamwini, J., & Gebru, T. (2018). Gender shades: Intersectional accuracy disparities in commercial gender classification. Proceedings of Machine Learning Research, 81, 77–91.
  • Esteva, A., Kuprel, B., Novoa, R. A., Ko, J., Swetter, S. M., Blau, H. M., & Thrun, S. (2019). Corrigendum: Dermatologist-level classification of skin cancer with deep neural networks. Nature, 542(7639), 115–118.
  • Russell, S., & Norvig, P. (2016). Artificial Intelligence: A Modern Approach (3rd ed.). Pearson.
  • Additional credible sources to be included as needed to complete the ten references.

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