Module 8 report
Description
Earlier on in this class, you have started working on a final research topic, this week, you will be submitting your findings as the class winds down. Other trendy and successful application areas of artificial intelligence and machine learning is Supply Chain Data Management. Kindly submit your personal research finding in the provided link.
You are to conduct in-depth research using possible examples from literature. Your submission must be minimum of ten (10) pages including reference listing and in-text citation. You must have minimum of 5 references out of which 3 must be peer reviewed articles and should not be older than three years
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Keyur Shah
DS61170H222 Introduction to Artificial Intelligence and Machine Learning
Introduction
rtificial Intelligence is an upcoming technology in almost all aspects
of our lives.
he decisions made by AI algorithms need to be monitored and
guidelines need to be in place for the quality of decisions that it
makes as it may impact people’s lives.
Problem statement
rovide guidelines to develop ethical and data driven decision making
from AI algorithms.
eight given to the decisions made by the AI algorithms vs human
input must be decided and power to overrule the AI decision must be
discussed.
i aided decisions must be verified independently.
Guiding principles
iscuss the guiding principles to quality data driven decision making.
iscuss the weights that should be given to the decision made by AI
systems.
iscuss the areas where more discussion must be made that will
impact the decision made
Outcomes
uidelines or policies governing the decisions made by the AI systems
ecision making flowchart and points of verification by humans
Human aided AI systems
uman beings should overlook every aspect of the decision-making
process.
I systems should concise the data from different sources and make a
summary for the human to analyze the data for
thical decisions should be made in a larger forum
Assumptions and limitations
his project assumes that the algorithms used are perfectly optimized
to give the best decision.
uman beings used in the decision making are trained in the specific
domain.
he project discusses the accelerated decision making with reference
to how AI can aid the decisions made by human beings
Practical example
ecision making in the healthcare systems by AI and humans in
tandem
ow AI can help make the communication faster in healthcare and
other aspects
References
ecker, F., Skirzy?ski, J., van Opheusden, B., & Lieder, F. (2022). Boosting human decision-making with
AI-generated decision aids.
arter, A. (2022). The Moral Dimension of AI-Assisted Decision-Making : Some Practical Perspectives
from the Front Lines. Daedalus, 151(2), 299ð8.
ern¤ez-Lorl C., Provost, F., & Xintian Han. (2022). Explaining Data-Driven Decisions Made by Ai
Systems: The Counterfactual Approach. MIS Quarterly, 46(3), 1635v60.
https://doi.org/10.25300/MISQ/2022/16749
^¥rg, C., & Larsson, S. (2022). AI and Patients ights : Transparency and information flows as
situated principles in public health care. In De Lege earbook Uppsala Faculty of Law 2021 : Law, AI
& Digitalization – Law, AI & Digitalization (Vol. 2021, pp. 40129). Iustus f!g.
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