- AI development
can help avoid biases and ensure broader applicability (Knight, 2017)
[18]; (O’Neil, 2016) [24]; (West, 2018) [39]; (Wirtz,
Weyerer, & Geyer, 2019) [40].
Considerations for Businesses Integrating
AI
- Understanding AI’s Limitations: Recognizing areas where AI
excels and where human judgment is needed is key (Brynjolfsson &
McAfee, 2014) [5].
- Continuous Learning and Adaptation: Keeping AI systems
updated with new data and insights is vital for staying effective
(Davenport & Ronanki, 2018) [11].
- Collaborative Approach: AI should be seen as a tool
augmenting human capabilities, not replacing them (Agrawal, Gans, &
Goldfarb, 2022) [1].
- Security and Privacy: As AI integrates more into businesses, enhancing security and ensuring data privacy is crucial (Zhu & Liu, 2018) [12].
- Stakeholder Engagement: Regular feedback from stakeholders is important in aligning AI with business objectives (Fountaine, McCarthy, & Saleh, 2019) [13].
This overview highlights the importance of ethical practices,
transparency, continuous learning, and a collaborative approach in
integrating AI into business strategies, ensuring both effectiveness and
adherence to ethical standards.
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TABLE 8: RECOMMENDATIONS SUMMARY