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- Creators: Dean, W.P. Carey School of Business
- Member of: Barrett, The Honors College Thesis/Creative Project Collection
The next question: What do these changes in the roles and responsibilities look like for the auditors of the future? Cognitive technology will assuredly present new issues for which humans will have to find solutions.
• How will humans be able to test the accuracy and completeness of the decisions derived by cognitive systems?
• If cognitive computing systems rely on supervised learning, what is the most effective way to train systems?
• How will cognitive computing fair in an industry that experiences ever-changing industry regulations?
• Will cognitive technology enhance the quality of audits?
In order to answer these questions and many more, I plan on examining how cognitive technologies evolved into their use today. Based on this historic trajectory, stakeholder interviews, and industry research, I will forecast what auditing jobs may look like in the near future taking into account rapid advances in cognitive computing.
The conclusions forecast a future in auditing that is much more accurate, timely, and pleasant. Cognitive technologies allow auditors to test entire populations of transactions, to tackle audit issues on a more continuous basis, to alleviate the overload of work that occurs after fiscal year-end, and to focus on client interaction.
The sudden turn to artificial intelligence has been widely supported because of the several proposed positive outcomes of using such technologies to support or replace humans. Automating tedious processes and removing potential human error is exciting for society, but some concerns must be addressed. This essay aims to understand how artificial intelligence can automate domains that likely significantly impact underprivileged and underrepresented groups. This essay will address the potentially devastating effects of algorithmic biases and AI’s contribution to perpetual economic inequality by surveying different domains, such as the justice system and the real estate industry. Without society broadly understanding the potential negative side effects on systems that matter, the rapid growth of artificial intelligence is a recipe for disaster. Everyone must become educated about AI’s current and potential implications before it is too late to stop its damaging effects.
The purpose of this paper is to discuss the history of artificial intelligence (AI) and its future implications in the healthcare industry. Utilizing information from research and medical journals, this paper will examine the foundations of AI and the people and events that influenced its development. Further, the various subsets of AI and its use in contemporary life will be discussed. While the technological evolution of AI will be discussed, this paper is not a technical treatise on the inner workings of AI software and technology, rather, it is a basic history of the development of AI and its respective subsets, and a look at current and potential future applications of AI. This information will be applied to the healthcare industry to discuss the history of AI in this field, detailing how AI was developed to find innovative solutions to complex medical problems. Finally, future prospects of AI in the medical industry will be discussed, explaining potential applications of this technology as well as various challenges and implications.