Summary

In this final chapter on ethics and governance in AI-enabled marketing, we have discussed the critical considerations and challenges associated with the use of AI technologies. We explored the ethical implications of data privacy, algorithmic bias, and the necessity for model transparency, emphasizing how these factors directly impact consumer trust and brand integrity. We also examined key regulatory frameworks, such as GDPR and CCPA, and discussed the importance of compliance in mitigating legal risks and fostering responsible AI practices.

We addressed practical strategies for ensuring ethical AI deployment in marketing, covering model explainability, bias mitigation, and balancing privacy with personalization. By establishing robust governance frameworks, including the formation of internal AI ethics committees, developing clear AI policies, and fostering continuous training and awareness, organizations can navigate the complex ethical landscape effectively. Understanding...