(Describe how the AI example you chose can negatively impact stakeholders)
machine learning
One major way that machine learning can negatively impact stakeholders is through bias in the algorithms used. If the data fed into the machine learning system is biased, either consciously or unconsciously, the output will also reflect that bias. This can lead to unfair decisions being made, such as in hiring processes or loan approvals.
Additionally, the use of machine learning can also lead to job displacement. As more tasks are automated by AI systems, human workers may find themselves replaced by machines, leading to job loss and economic instability for individuals and communities.
Furthermore, there are also concerns about privacy and data security with machine learning technology. As these systems collect and analyze vast amounts of data, there is a risk that personal information could be exposed or misused, leading to serious breaches of privacy.
Overall, while machine learning technology has the potential to revolutionize industries and improve efficiency, there are significant risks and challenges that must be carefully considered and managed to ensure that the interests of all stakeholders are protected.