How to mitigate AI risks?

  • AI data capture offers convenience but raises privacy concerns. Balancing these requires transparency and user control.
  • Balancing AI’s data capture benefits and privacy concerns requires transparency and consumer education, with clear opt-in options and explanations to ensure informed data privacy control.
  • Mitigate AI delegation risks by ensuring AI complements human abilities, allowing users to retain control and involvement to enhance satisfaction and reduce loss of creativity.

Mitigating AI risks requires transparency in data usage, unbiased algorithms, user control, education and training programs, and inclusive policies to address job displacement and economic inequality, ensuring ethical and fair AI deployment.

–Alaiya Ding, BTW reporter

AI offers convenience but raises privacy, bias, control, and job displacement concerns. Transparency, unbiased algorithms, user control, and training programs are essential to mitigate risks.

Balancing benefits and risks of AI data capture

AI’s ability to process and learn from large amounts of personal data brings both convenience and privacy concerns. While AI-driven services like Google Photos offer personalised and efficient user experiences, the underlying data capture can lead to feelings of exploitation and loss of personal information control. To mitigate these risks, managers must prioritise transparency and consumer education.

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Addressing AI classification bias

AI systems classify users to provide personalised recommendations, but these classifications can sometimes lead to misunderstandings or discrimination. The risk of bias in AI algorithms can result in negative experiences, as seen in the case of Apple’s skewed credit offerings. Organisations must rigorously audit their algorithms for biases, working with experts from various fields to ensure fair and accurate classification.

Navigating the risks of AI delegation

AI systems like Alexa and Siri assist with routine tasks, but over-reliance on these technologies can lead to a loss of control and dissatisfaction. Delegation of tasks to AI may diminish the sense of personal achievement and creativity. To mitigate these effects, managers should ensure that AI complements rather than replaces human abilities. Incorporating elements that allow users to retain some control and involvement in the process can make the delegation experience more positive and satisfying.

Managing AI-driven social interactions

AI technologies like Siri and Alexa incorporate human-like features to foster engagement, but these interactions can sometimes feel unsettling or alienating. Missteps in AI social interactions, such as insensitive responses, highlight the need for careful design and understanding of human dynamics. Organisations should gather insights from consumers and experts to refine AI interactions.

Addressing economic disruption and job displacement

AI-driven automation poses significant risks of job displacement and economic inequality. As AI takes over routine tasks, low-skilled workers face unemployment, widening the income gap. To mitigate these effects, policymakers and organisations must invest in education and training programs to help workers transition to new roles. Social safety nets and inclusive growth policies are essential to support affected individuals and ensure a balanced distribution of AI’s economic benefits.


Alaiya Ding

Alaiya Ding is an intern news reporter at Blue Tech Wave specialising in Fintech and Blockchain. She graduated from China Jiliang University College of Modern Science and Technology. Send tips to

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