Challenges in utilizing Artificial Intelligence in Business Entities|Essay guru
Posted: February 4th, 2023
Assignment Content
- STOP! Have you watched the two, past assigned, short videos on APA 7 Title Page and References Page? If not, you must do that first, because this submission requires both.
In class today, you were asked to find your first research article that explores your approved research question. (DO NOT ATTEMPT THIS ASSIGNMENT UNLESS YOU HAVE COMPLETED THE PREVIOUS ASSIGNMENT and gained approval: Brainstorming and Research Question.)
For this assignment, I want you to create a single, APA 7-compliant, Word document. To earn full credit, you must do the following:
- Page 1 = 20 pts: Proper APA 7 Title Page (watch the video and see p. 31 in the Foundations text to help you create a perfect title page)
- Page 2 = 60 pts (breakdown below): Simply answer the following questions
- (1) What is your approved research question from the Brainstorming Research Question HW assignment? (5 pts)
- (2) What is the title of the research article you found? (5 pts)
- (3) Does the article contain the methodology the researchers used to conduct the study/research? To get full credit, you must (a) name the methodology, (b) cut and paste the paragraph from the article that details the methodology, AND (c) highlight indicator words. (30 pts)
- (4) Does the article contain findings or results of the research? To get full credit, you must (a) cut and paste excerpts from the article that detail the findings (go to Discussion section or at times Conclusion), AND (b) highlight specific words that detail the findings. (20 pts)
- Page 3 = 20 pts: Create a proper APA 7 References Page with your ONE research article (refer to the video and see pp. 33-34 for the FORMAT you must use to create your reference and p. 32 for a perfect sample of what a References Page looks like.)
SOLUTION
There are several challenges in utilizing AI in business entities, including:
- Lack of technical expertise: AI requires specialized technical knowledge and skills, and many businesses may not have the necessary resources to build and maintain AI systems.
- Data quality and availability: AI systems require large amounts of high-quality data to be effective. If data is unavailable, inaccurate or biased, it can lead to poor AI results.
- Integration with existing systems: Integrating AI systems with existing business processes and technologies can be challenging and require significant investment in IT infrastructure.
- Bias and fairness: AI systems can perpetuate existing biases in the data they are trained on, which can have negative impacts on business operations and customers.
- Trust and transparency: The decision-making processes of AI systems can be difficult for human stakeholders to understand, which can lead to a lack of trust in the technology.
- Regulation and ethics: As AI continues to advance, there is growing concern about the ethical implications of its use, which can have legal and regulatory consequences for businesses.
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