2019 OECD Forum: Artificial Intelligence: Next Steps

21 May 2019: Artificial Intelligence: Next Steps

Moderator: Dirk Pilat, Deputy Director, Science, Technology and Innovation, OECD

Scene Setting: Anne Carblanc, Head of Division, Division for Digital Economy Policy, Science, Technology and Innovation, OECD

Speakers:
Jim Kurose, Assistant Director, National Science Foundation (NSF) Wonki Min, Vice Minister of the Ministry of Science and ICT, South Korea; Chair, Digital Economy Policy Committee, OECD, Chiara Tomasi, Public Policy and Government Relations Senior Analyst, Google
Closing keynote speech :
Michael Kratsios, Deputy Assistant to the President for Technology Policy and Deputy U.S. Chief Technology Officer

OECD Headquarters, Paris.

www.oecd.org/forum

Photo : © Hervé Cortinat / OECD

The 2019 OECD Forum was a pivotal event that focused on the future of artificial intelligence and the next steps that need to be taken in order to fully harness its potential. The forum brought together experts, policymakers, and industry leaders to discuss the opportunities and challenges associated with AI, as well as the ethical and regulatory considerations that need to be addressed.

Artificial intelligence has become an increasingly important tool in the business world, with companies across various industries leveraging AI to gain a competitive edge and drive innovation. From data analysis and prediction to customer engagement and automation, AI has the potential to revolutionize the way businesses operate.

One business use case for AI is in data normalization. Companies often deal with massive amounts of data from various sources, making it difficult to analyze and derive meaningful insights. AI can be used to normalize and clean this data, making it easier to work with and extract valuable information.

Another use case is in synthetic data generation. Generating synthetic data sets can be extremely useful for training AI models, especially in cases where there is limited or sensitive real-world data available. AI algorithms can be used to create realistic synthetic data that can be used to improve the accuracy and robustness of AI models.

Content generation is another area where AI can be valuable for businesses. AI-powered natural language processing algorithms can be used to generate high-quality written content, such as articles, product descriptions, and marketing copy. This can save businesses time and resources, while also improving the overall quality of the content.

AI can also be used for customer engagement and support. Chatbots powered by AI, such as those built on platforms like Dialogflow and powered by Firebase, can provide personalized, round-the-clock customer support. These AI-driven chatbots can answer customer inquiries, provide product recommendations, and even handle transactions, all without the need for human intervention.

Another business use case for AI is in the development of mobile applications. Platforms like Flutter, combined with AI-powered features, can enable businesses to create highly interactive and intelligent mobile apps. These apps can leverage AI for functionalities such as image recognition, natural language processing, and personalized user experiences.

AI can also be used for predictive analytics and forecasting. By analyzing historical data and using AI algorithms, businesses can make more accurate predictions about future trends, customer behavior, and market dynamics. This can help businesses make more informed decisions and stay ahead of the competition.

In addition to these specific use cases, AI has the potential to revolutionize many different aspects of business operations, from supply chain management and logistics to finance and human resources. However, it’s important for businesses to consider the ethical and regulatory implications of AI adoption, especially as technologies like large language models (LLM) and openai continue to evolve.

The 2019 OECD Forum on Artificial Intelligence: Next Steps highlighted the importance of responsible AI development and usage, and emphasized the need for collaboration between governments, businesses, and civil society to ensure that AI is deployed in a way that is ethical, transparent, and beneficial for all stakeholders.

In conclusion, AI has the potential to transform businesses in countless ways, from data analysis and content generation to customer engagement and predictive analytics. As the technology continues to evolve, it’s crucial for businesses to stay informed about the latest developments and to carefully consider the ethical and regulatory implications of AI adoption. By leveraging AI responsibly, businesses can gain a competitive edge and drive innovation in a rapidly changing global economy.

Posted by Organisation for Economic Co-operation and Develop on 2019-05-21 13:53:04

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