Artificial intelligence and ethics in decision-making
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Artificial intelligence and ethics in decision-making
Artificial intelligence (AI) has the potential to revolutionize decision-making processes across various industries, from healthcare to finance to education. However, as AI becomes more sophisticated and integrated into our lives, there are growing concerns about the ethical implications of using AI to make decisions that impact individuals and society as a whole.
One of the key ethical considerations is the potential for AI to perpetuate or amplify biases that exist in society. If AI is trained on biased data, it can lead to discriminatory outcomes, which can perpetuate existing inequalities. For example, facial recognition technology has been shown to be less accurate for people of color, potentially leading to false accusations and unjust outcomes.
Another ethical consideration is the transparency of AI decision-making. It can be difficult to understand how AI systems arrive at certain decisions, particularly in cases where they use complex algorithms or machine learning. This lack of transparency can make it difficult to hold AI systems accountable for their decisions and can erode public trust in their use.
To address these and other ethical concerns, many organizations are developing frameworks for responsible AI, which include principles such as fairness, accountability, transparency, and privacy. These frameworks aim to ensure that AI is developed and used in a way that aligns with ethical values and does not lead to harmful outcomes.
Ultimately, the responsible development and use of AI will require a collaborative effort between industry leaders, policymakers, and the general public to ensure that AI is used in a way that benefits society as a whole, while also upholding ethical principles and protecting individual rights.
Artificial intelligence and ethics in decision-making
RUBRIC
Excellent Quality
95-100%
Introduction 45-41 points
The background and significance of the problem and a clear statement of the research purpose is provided. The search history is mentioned.
Literature Support
91-84 points
The background and significance of the problem and a clear statement of the research purpose is provided. The search history is mentioned.
Methodology
58-53 points
Content is well-organized with headings for each slide and bulleted lists to group related material as needed. Use of font, color, graphics, effects, etc. to enhance readability and presentation content is excellent. Length requirements of 10 slides/pages or less is met.
Average Score
50-85%
40-38 points
More depth/detail for the background and significance is needed, or the research detail is not clear. No search history information is provided.
83-76 points
Review of relevant theoretical literature is evident, but there is little integration of studies into concepts related to problem. Review is partially focused and organized. Supporting and opposing research are included. Summary of information presented is included. Conclusion may not contain a biblical integration.
52-49 points
Content is somewhat organized, but no structure is apparent. The use of font, color, graphics, effects, etc. is occasionally detracting to the presentation content. Length requirements may not be met.
Poor Quality
0-45%
37-1 points
The background and/or significance are missing. No search history information is provided.
75-1 points
Review of relevant theoretical literature is evident, but there is no integration of studies into concepts related to problem. Review is partially focused and organized. Supporting and opposing research are not included in the summary of information presented. Conclusion does not contain a biblical integration.
48-1 points
There is no clear or logical organizational structure. No logical sequence is apparent. The use of font, color, graphics, effects etc. is often detracting to the presentation content. Length requirements may not be met
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