Ethical Considerations in Artificial Intelligence: Ensuring Accountability and Transparency

• Author(s): Dr. Rupesh Shukla ; Aaryesh Shukla
• Paper ID: 1704993
• Page: 375-382
• Published Date: 30-08-2023
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 7 Issue 2 August-2023

Abstract

Please provide a brief overview of the many areas of the business and society that have already been impacted by AI. Bringing into the light the issues of prejudice, privacy, and accountability that emerge with the broad usage of AI is the first step in the correct way. You need to define "bias" in the context of AI if you want people to agree with you. Outcome bias, algorithmic bias, and data bias are three forms of prejudice that might develop from AI systems. It would be helpful if you could provide an illustration of each of these biases in action. Think about how unfettered bias in AI may help keep divisions in society alive. Prejudiced AI systems can be unjust and unreasonable in their judgments and consequences. It's possible that such systems are biased in a number of different ways. In the context of artificial intelligence, the word "bias" can also mean inconsistent outcomes. While AI has the ability to improve productivity and the quality of decisions, it also runs the danger of internalizing biases that are present in its training data and processes. This is due to the fact that AI has the potential to learn new abilities when presented with fresh data and revised guidelines. The status quo has not altered despite the fact that AI has the ability to improve both decision-making and productivity. To ensure fairness, equality, and the moral application of AI, we must have an understanding of the bias present in these systems and seek to eradicate it. This is the only method to make sure these tools are utilized properly. In a quick summary, please highlight the article's key arguments with respect to the ethical concerns highlighted by AI, including bias, privacy, and responsibility. It is essential to increase awareness of the need to overcome these challenges in order to develop AI systems that are dependable and responsive. In order to get there, it is crucial to underline the need of fixing these difficulties without delay.

Keywords

Ensuring Accountability, Transparency

Citations

IRE Journals:
Dr. Rupesh Shukla , Aaryesh Shukla "Ethical Considerations in Artificial Intelligence: Ensuring Accountability and Transparency" Iconic Research And Engineering Journals Volume 7 Issue 2 2023 Page 375-382

IEEE:
Dr. Rupesh Shukla , Aaryesh Shukla "Ethical Considerations in Artificial Intelligence: Ensuring Accountability and Transparency" Iconic Research And Engineering Journals, 7(2)