Survey on Artificial Intelligence

The literature review focuses on three levels: the disciplines, the goal, and the tools and technologies used to achieve the goal. Each level of the literature review also provides a conceptual framework, which makes it easier to compare findings and translate them into higher-order interpretations. The concept matrix also includes important definitions, key findings, and the context in which the research was conducted. The results of this literature review provide a framework for AI research.

A critical aspect of ai in publishing research is the human element. While the individual can be the unit of analysis, the AI must be sensitive to the individual’s needs and goals. The research literature includes various theoretical frameworks and methodologies, varying from a purely theoretical perspective to one that looks at the social, political, and economic aspects of AI. Some studies focus on the individual as a unit of analysis. Another framework is called dual process theory, and it examines the interactions between humans and AI. Another approach looks at the negative impact of AI, and value co-destruction is a concept that builds on the dark-side angle of the human-AI relationship.

AI-based algorithms can identify opportunities in markets. They can analyze massive amounts of data and find patterns in customer preferences and identify the right time to enter a new market with a new offering. AI can also improve the efficiency of car manufacturing, automating license plate and barcode recognition. AI-enabled processes can also reduce human error and improve transparency. This research highlights the benefits and limitations of artificial intelligence. There are many applications of AI for businesses, but it is important to understand the human component before implementing AI.

A Literature Survey on Artificial Intelligence

AI can disrupt existing job roles. When it is used inappropriately, it can cause societal and organizational problems. It may even lead to a backlash in the form of citizen and customer complaints. This backlash could have serious implications for organizations trying to incorporate AI technology into their operations. The human aspect is often overlooked in AI deployment. Its implementation requires complementary organizational resources. If not done correctly, AI can undermine the corporate image of an organization.

ai literature review

A literature review on AI is necessary to identify the business value of the technology. Developing and deploying AI requires huge financial investments. Firms that lack the slack to allocate sufficient resources must also know how long the investment will reap positive returns. Prior studies have shown that AI adoption is associated with substantial financial costs and losses. Understanding the balance between maximizing benefits and minimizing risks is crucial. When properly implemented, AI can lead to significant business value and improved competitiveness.

Government policies also affect AI adoption. The General Data Protection Regulation, for example, is designed to protect individuals’ privacy. Increasing awareness of these regulations can help organizations build AI solutions that benefit society. By focusing on ethical issues, AI adoption can be more widespread, even if the impact is less tangible. This is especially true in the EU. Many data sets must be anonymized in order to meet these laws. In many cases, this means that self-learning algorithms are rendered useless.