15/11/2024
I'm excited to present my paper on Use in : Bridging the Gap in Audience Engagement at today's (GCRA). This year's theme, in the : Transformations, Innovations, and Challenges in , is especially relevant as we explore the intersection of AI and communication in emerging markets. Some of the findings from my paper include:
#1 Improved Personalized Communication
AI enables organizations to tailor interactions to individual needs and preferences, fostering deeper audience connections.
Example: Nation Media Group's AI-driven content recommendation system personalizes news delivery, enhancing reader engagement and loyalty (Sharma & Kaur, 2020).
#2 Increased Customer Satisfaction
AI tools such as chatbots provide instant support, reducing wait times and improving the customer experience.
: Safaricom's chatbot, Zuri, allows users to manage M-PESA accounts and retrieve information instantly, leading to higher satisfaction and retention rates (Nyaga, 2021).
#3 Enhanced Engagement Across Sectors
AI's ability to analyze user data and adapt communication strategies helps businesses and media companies engage audiences more effectively.
: Kenya Commercial Bank's chatbot, Jasper, not only automates responses but also personalizes customer interactions, making banking services more accessible and engaging (Adam et al., 2020).
#4 Broader Reach and Inclusivity
AI-driven public health and agriculture solutions bring essential information to underserved communities, bridging gaps in knowledge and resources.
: IBM's AI tools support Kenyan farmers with crop management advice, improving agricultural productivity and supporting food security (Singh & Singh, 2021).
.
Eliminate Bias in Algorithms: AI developers should ensure their algorithms are free from bias by collaborating with local developers to capture the cultural nuances of Kenyan communities, promoting fairness and inclusivity.
Local Language and Cultural Adaptations: AI tools should be designed to accommodate local languages and cultural contexts, making them more accessible and relatable for diverse Kenyan populations.
User-Centered AI Design: Involve local stakeholders in the design process to create AI solutions that address real needs and concerns, fostering broader acceptance and practical engagement.
The paper contains more details that will be informative for anyone designing tool targeting . Check out the GCRA website (https://gcra.info/upcoming-conference.php ) for the full paper.
.
