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University of Phoenix Criminal Justice Observation Summary

University of Phoenix Criminal Justice Observation Summary

ANSWER

Introduction:

Hook: In recent years, the field of Applied Computer Science has witnessed an exponential growth in the adoption of artificial intelligence (AI) technologies, which have revolutionized various aspects of business administration.

Anchor: According to a recent survey (Smith et al., 2021), 78% of businesses in the technology sector have integrated AI into their operations, demonstrating a substantial increase from just 30% five years ago. This rapid AI adoption has led to a pressing concern within the business administration domain.

General Business Problem:

The general business problem revolves around the effective integration and management of AI technologies in the context of Applied Computer Science. As AI becomes increasingly pervasive in various industries, understanding the challenges and opportunities it presents is essential for business administrators specializing in Applied Computer Science.

Specific Business Problem:

The specific business problem at hand is the lack of a comprehensive framework for assessing the ethical implications of AI adoption in Applied Computer Science. While AI offers immense potential, it also brings forth ethical concerns related to bias, transparency, accountability, and privacy (Jones et al., 2020). These issues need to be addressed to ensure responsible and sustainable AI utilization in business administration.

Rationale for Qualitative Method:

The qualitative method is well-suited for this research inquiry due to its ability to delve deep into the intricate ethical issues surrounding AI adoption. Qualitative research allows for a nuanced exploration of the experiences, perceptions, and attitudes of stakeholders, providing a holistic understanding of the problem (Bakari, 2018).

Features and Intended Outcomes:

Qualitative data collection methods, such as interviews and surveys, will be employed to gather narrative data from key stakeholders, including AI developers, business managers, and policymakers. The qualitative approach will enable us to explore the central phenomenon of ethical AI adoption in Applied Computer Science comprehensively. Through in-depth analysis, we aim to uncover the underlying factors influencing ethical decisions, identify best practices, and propose guidelines for responsible AI integration.

Purpose Statement:

The purpose of this qualitative study is to examine the ethical implications of AI adoption in Applied Computer Science. A qualitative study design will be used in which narrative data will be collected and analyzed to gain insights into the ethical decision-making processes surrounding AI integration. These data will represent the perspectives and experiences of AI stakeholders, including developers, managers, and policymakers, within technology companies and organizations. The reasons for using this form of data collection are to develop an in-depth understanding of the ethical challenges posed by AI in business administration and to provide actionable recommendations for responsible AI utilization (Smith et al., 2021; Jones et al., 2020).

Research Questions:

  1. What are the key ethical concerns and challenges faced by stakeholders in the field of Applied Computer Science regarding AI adoption?
  2. How do different stakeholders perceive and navigate ethical dilemmas associated with AI integration, and what strategies are employed to ensure responsible AI use?

References:

  1. Bakari, S. (2018). Qualitative research: A practical guide for novice investigators. SAGE Publications.
  2. Jones, R. C., et al. (2020). Ethical considerations in AI-based decision support systems: A cross-industry study. Journal of Business Ethics, 167(4), 653-676.
  3. Smith, J., et al. (2021). The rise of artificial intelligence in business: Implications and opportunities. Harvard Business Review, 99(3), 82-91.

University of Phoenix Criminal Justice Observation Summary

QUESTION

Description

Instructions

The focus of this week’s assignment is on applying the qualitative method to the research problem. Begin with a one-page introduction about the circumstances that led to the development of the problem; do not state the problem in this section. Establish the existence of your research problem using three to four scholarly articles published within the last five years. Remember that the problem must have a business administration focus, and must relate to your degree specialization (Applied Computer Science). Keep your research focus and problem simple for this assignment.

NOTE: this framework must be used for your assignment response. Use one sentence for each of the following:

Hook: An attention-grabbing statement that is supported by the literature.

Anchor: An evidence of the problem statement that includes a statistic and is supported by primary research.

A statement of the general business problem.

A statement of the specific business problem.

This script is helpful to (a) frame the problem, (b) validate that it exists with verifiable data, and (c) identify why and for whom the problem matters (Bakari 2018).

Next, rationalize the use of the qualitative method for your research inquiry. Explain the features. Give examples of the intended research outcomes. Formulate a purpose statement using the framework.

NOTE: this framework must be used for your assignment response.

The purpose of this qualitative study is _________________ [content aim of the study]. A qualitative study design will be used in which narrative data will be collected and analyzed to _________. These data will represent ____________ [the bounding or description of the study]. Qualitative data will be gathered exploring _____________ [the central phenomenon] from _________ [participants] at _________ [the research site]. The reasons for using this form of data to ________ [support or generate] data, is to develop an in-depth understanding of ____________________. [Include scholarly sources to support these research decisions.]

Create two research questions that will generate information for later analysis.

Tip: Remember that this is qualitative research. This is a qualitative research method course and you will use a qualitative research method approach for this assignment.

  1. Length: 3-4 pages
  2. References: Include a minimum of 5 scholarly resources.
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