Exploring Sustainable AI Efficient, Ethics and Future Marketing Practices

Artificial intelligence led to a marketing revolution by providing organizations with capabilities to personalize user experiences as well as optimize marketing operations and extract meanings from massive data pools for business choices. The marketing efficiency increases in parallel with automation of repetitive tasks by artificial intelligence solutions which contain machine learning algorithms predictive analytics and chatbots. Several disadvantages related to AI marketing innovations exist which include privacy concerns combined with ethical problems combined with environmental sustainability challenges. Algorithms generate ethical problems by sending discriminatory targeted advertisements which lead to biased treatment of specified customer groups during marketing campaigns. AI marketing solutions need large data collections that produce challenges regarding consumer privacy protection and regulatory requirements and data protection issues. Large- scale machine learning operations using AI models produce substantial carbon emissions which drives marketing stakeholders to adopt sustainable approaches in AI usage. To implement ethical sustainable AI businesses should use responsible AI frameworks along with bias mitigation solutions and clear AI policies that incorporate sustainable computing methods. The establishment of proper legislation creates necessary safeguards to address present-day difficulties. The General Data Protection Regulation (GDPR) along with AI governance law formations enables businesses to receive vital guidance for responsible implementation of AI in marketing activities. All companies must obey the regulations to protect their customer trust and prevent legal matters. The field of AI marketing solutions will evolve under three distinctive developments which include XAI for explainable AI initiatives coupled with green AI projects and governance models for ethical AI use. Businesses that use sustainable ethics with AI-driven marketing achieve better marketing performance and earn improved customer trust together with a more favourable lasting brand image. The study covers multiple aspects related to sustainable AI marketing solutions while providing forecasts about marketing AI development paths.

Authors

Publication Details

Published
2025-04-03
DOI
https://doi.org/10.38124/ijisrt/25mar1108
Citations
1
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
2.37
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article

Exploring Sustainable AI Efficient, Ethics and Future Marketing Practices

Emmanuel Ansah
1 citations
Ethics and Social Impacts of AI
2.37
article

Exploring Sustainable AI Efficient, Ethics and Future Marketing Practices

Emmanuel Ansah
article en
1 citations

Abstract

Artificial intelligence led to a marketing revolution by providing organizations with capabilities to personalize user experiences as well as optimize marketing operations and extract meanings from massive data pools for business choices. The marketing efficiency increases in parallel with automation of repetitive tasks by artificial intelligence solutions which contain machine learning algorithms predictive analytics and chatbots. Several disadvantages related to AI marketing innovations exist which include privacy concerns combined with ethical problems combined with environmental sustainability challenges. Algorithms generate ethical problems by sending discriminatory targeted advertisements which lead to biased treatment of specified customer groups during marketing campaigns. AI marketing solutions need large data collections that produce challenges regarding consumer privacy protection and regulatory requirements and data protection issues. Large- scale machine learning operations using AI models produce substantial carbon emissions which drives marketing stakeholders to adopt sustainable approaches in AI usage. To implement ethical sustainable AI businesses should use responsible AI frameworks along with bias mitigation solutions and clear AI policies that incorporate sustainable computing methods. The establishment of proper legislation creates necessary safeguards to address present-day difficulties. The General Data Protection Regulation (GDPR) along with AI governance law formations enables businesses to receive vital guidance for responsible implementation of AI in marketing activities. All companies must obey the regulations to protect their customer trust and prevent legal matters. The field of AI marketing solutions will evolve under three distinctive developments which include XAI for explainable AI initiatives coupled with green AI projects and governance models for ethical AI use. Businesses that use sustainable ethics with AI-driven marketing achieve better marketing performance and earn improved customer trust together with a more favourable lasting brand image. The study covers multiple aspects related to sustainable AI marketing solutions while providing forecasts about marketing AI development paths.

Openalex Percentile: Top 13%
Ethics and Social Impacts of AI
2.37
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Exploring Sustainable AI Efficient, Ethics and Future Marketing Practices — Emmanuel Ansah · (2025) | TGRS Research Map | TGRS