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 brought together leaders and stakeholders from around the world to discuss the next steps for artificial intelligence. The Forum focused on the potential impact of AI on society, the economy, and the environment, and explored the ethical and policy considerations that must be addressed as AI technology continues to advance.

Artificial intelligence (AI) has the potential to revolutionize industries and transform the way we work, live, and interact with the world around us. From finance to healthcare to transportation, AI has the power to streamline processes, improve decision-making, and provide valuable insights that can drive innovation and growth.

One business use case for AI is in data normalization. Many organizations collect and analyze vast amounts of data from various sources, and the process of normalizing this data can be time-consuming and prone to errors. AI can be used to automatically clean and standardize data, making it easier to analyze and utilize for decision-making purposes.

Another use case for AI is in content generation. Whether it’s writing articles, creating marketing materials, or generating personalized recommendations, AI can help businesses produce high-quality content at scale. By leveraging natural language processing and machine learning algorithms, AI can analyze data and generate content that is tailored to the needs and preferences of a target audience.

AI can also play a valuable role in the creation of synthetic data. Synthetic data is artificially generated data that mimics the characteristics of real data, allowing businesses to test and train their AI systems without using sensitive or proprietary information. Using AI to generate synthetic data can help organizations improve the performance and accuracy of their models while safeguarding privacy and security.

In the realm of customer service and interaction, AI-powered chatbots and virtual assistants are becoming increasingly prevalent. These systems, powered by technologies such as Dialogflow and openai, can understand and respond to natural language queries, providing customers with instant support and information. By implementing AI-powered virtual assistants, businesses can improve customer satisfaction and reduce the burden on human support teams.

AI can also streamline software development processes. For example, Flutter, Google’s open-source UI toolkit for building natively compiled applications for mobile, web, and desktop from a single codebase, can be integrated with AI to simplify the development process. Additionally, AI tools like Firebase can be used to enhance app performance and user engagement through real-time data insights and personalized experiences.

In the realm of language models, AI has made significant advancements with the development of large language models (LLM). These models, such as GPT-3, have the ability to understand and generate human-like text, making them valuable for a wide range of applications, from content creation to language translation.

However, as AI technology continues to advance, it is important for businesses to consider the ethical implications of AI and ensure that they are using the technology responsibly. This includes addressing issues such as bias in AI algorithms, ensuring transparency and accountability in AI-driven decision-making, and safeguarding privacy and security.

Additionally, businesses must consider the policy and regulatory landscape surrounding AI in their operations. This includes staying updated on AI-related laws and regulations, ensuring compliance with data protection laws, and participating in industry efforts to establish best practices for the responsible use of AI.

In conclusion, AI has the potential to revolutionize business operations and drive innovation across industries. From data normalization to content generation to customer service, AI can provide valuable insights and streamline processes. However, it is essential for businesses to consider the ethical and policy implications of AI and ensure that they are using the technology responsibly. By doing so, businesses can harness the power of AI to drive growth and create value for their customers and stakeholders.

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

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