Highlights and Key Facts

           Power and Peril of Artificial Intelligence

• "People are suffering algorithmic harm.They are not being told what's happening to them, and there is no appeal system, there's no accountability. Why do we fall for this?"("Coded Bias," 2020) 

This statement encapsulates a critical concern in the realm of artificial intelligence and algorithmic decision-making. This issue is at the heart of the documentary "Coded Bias," which explores the hidden biases and potential harms of AI systems. This is the lack of transparency surrounding AI algorithms which is not easily understood by those affected by their decisions which can lead to situations where individuals are subjected to decisions made by algorithms without knowing how or why those decisions were made. When individuals are harmed by algorithmic decisions, they often have no means to challenge those decisions. This lack of accountability can lead to a sense of powerlessness and injustice among those affected.

• "When you don't see the bias, it could be that the people who are most affected by it are not in the room".("Coded Bias," 2020)  

 AI systems can only be as good as the data they are trained on, biased data can produce unjust or false results. To guarantee that the data used to train AI algorithms is trustworthy and devoid of bias, it is crucial to properly choose and evaluate the data. When people who are not in decision-making process are affected by bias, the bias just went on without being noticed.

• "AI has the potential to revolutionize clinical practice, but several challenges must be addressed to realize its full potential." (Alowais et al., 2023)

Artificial intelligence holds the potential to provide patients throughout the world with more individualised and effective care, from increasing treatment efficacy to improving diagnostic accuracy. Despite its tremendous potential, several challenges must be addressed to realize the full benefits of AI.Since many healthcare professionals are not experienced with AI technology, they could be reluctant to use new technologies that challenge their long-standing procedures.It is essential to implement strict data protection measures to safeguard patient information and ensure compliance with regulations.

• " AI could reduce the need to test potential drug compounds physically, which is an enormous cost-savings."(IBM Education, 2023) 

Basically ,development of drugs involves many processes like extensive lab-testing and trials which are expensive and time-consuming. AI has the ability to revolutionize the pharmaceutical industry by reducing the need for physical testing of potential drug compounds.This cost-saving method lead to more affordable drugs and faster development timelines, therebybenefiting patients and healthcare systems worldwide.By analyzing the data, including information on the structure of molecules, the biological pathways they target, and their potential interactions with the human body, AI can promise candidates drugwith a higher degree of accuracy than traditional methods. 

• "how far artificial intelligence may be utilized ethically in healthcare settings since there are no universal guidelines for its use ".(Khan et al., 2023) 

This statement has caused considerable debate regarding its ethical implications, due to the lack of universal guidelines regarding its use. Large data sets are used to train AI systems, and these sets may contain pre-existing biases in healthcare, such as differences in treatment between racial and gender groups. Unfair access to care and results could result from AI systems that even worsen these discrepancies if these biases are not addressed. While AI can improve diagnosis and treatment procedures efficiency and accuracy, some may fear that it could eventually take the role of human judgement and empathy in the medical field, undermining patient confidence in medical professionals.