Jakarta, CNBC Indonesia – Artificial intelligence (AI) is starting to attract the attention of various business sectors in Indonesia.
AI platforms such as the use of chatbots in customer service, decision making, and voice recognition for security, have become part of the growing innovation.
According to a study from Kearney, AI is projected to provide substantial economic benefits in the ASEAN region.
By 2030, AI is expected to contribute up to US$ 1 trillion to ASEAN GDP, with estimates that Indonesia will contribute around 40%, with an estimated contribution of US$ 366 billion (Rp. 5,734 trillion).
While executives are optimistic about the benefits of AI for efficiency and innovation, they also highlight a series of risks facing the next few years.
Those risks include possible workforce shifts and data privacy risks, with the majority agreeing AI will impact organizations within five years, and almost all stressing the importance of leadership understanding this technology.
“Responsible integration of AI requires deep technical understanding and effective risk mitigation, we must not ignore the potential risks associated with the use of AI,” said Kearney Indonesia President Director and Partner Shirley Santoso in a written statement, quoted Thursday (21/3 /2024).
According to the Kearney report, there are at least four risks that business leaders should be aware of in the use of AI. Here are the details.
1. Data Bias
Data bias involves the quality of an AI model's output directly related to the data it was trained on. If training data does not equally reflect real-world diversity, AI can produce biased results.
2. Data Hallucinations
Generative AI models are highly accurate but remain 100% confident even when they are wrong. This requires a human involvement process to continuously verify the information or content produced by AI.
3. Soaring Costs
As the volume of data stored by AI platforms increases, the costs of collecting, storing, and processing also increase.
4. Dependability and Reliability
There are concerns about reliance on AI and its reliability.
Kearney suggests company bosses in RI prioritize five main factors when considering adopting AI technology. First, is a clear business case for AI integration. Second, ensure data quality and reliability. Third, strong security to protect sensitive data and establish ethical guidelines.
Fourth, Well-considered architectural design for seamless integration and scalability. Finalensuring continued adoption of AI including through cultural change within the organization.
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