Plenary session 9: Artificial intelligence and the future of human labor

WPC 2017, Marrakech, November 4 – Holger Mey, Vice President, Advanced Concepts, Airbus.

Plenary Session 9: Artificial Intelligence and the Future of Human Labor

The Plenary Session 9 will focus on the impact of artificial intelligence on the future of human labor. As AI continues to advance, it is increasingly becoming integrated into various industries and changing the landscape of the job market. This session will explore the potential implications of AI on the workforce, as well as the opportunities and challenges it presents for businesses and employees.

Artificial intelligence has the potential to drastically change the way work is done across all industries. From automation of repetitive tasks to the development of sophisticated decision-making algorithms, AI has the potential to streamline operations and increase efficiency. However, this also raises concerns about the displacement of human workers and the need for retraining and upskilling to adapt to the changing demands of the labor market.

The session will feature discussions and presentations from experts in the field of AI and labor economics, as well as case studies from businesses that have successfully integrated AI into their operations. The goal is to provide a comprehensive understanding of the potential impact of AI on human labor, and to identify strategies for businesses and policymakers to navigate this transition effectively.

Artificial Intelligence

Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning, reasoning, and self-correction. AI has the ability to perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation.

Business Use Cases about AI

1. Data Normalization: AI can be used to normalize and clean large datasets, ensuring consistency and accuracy in data analysis and reporting. This can help businesses make more informed decisions based on reliable data.

2. Synthetic Data Generation: AI can be used to generate synthetic data to supplement real-world datasets for training machine learning models. This can be particularly useful in scenarios where real data is scarce or sensitive.

3. Content Generation: AI-powered natural language processing tools can be used to generate content at scale, such as automated news articles, product descriptions, and social media posts, saving businesses time and resources.

4. Chatbot Development: AI-powered chatbots, built using platforms like Dialogflow and powered by Firebase, can be used to automate customer support and engagement, improving response times and user satisfaction.

5. OpenAI: Businesses can leverage OpenAI’s advanced AI models to develop cutting-edge applications in natural language processing, image recognition, and decision-making in various domains.

6. Stable Diffusion: AI can be used to predict market trends and consumer behaviors, helping businesses optimize their marketing and product strategies for maximum impact and profitability.

7. Large Language Models (LLM): Large language models like GPT-3 can be used in various business applications, such as content generation, language translation, and personalized recommendations, enhancing user experiences and operational efficiency.

Overall, AI offers a wide range of opportunities for businesses to innovate and optimize their operations. However, it also requires careful consideration of ethical and social implications, as well as ongoing investment in skills development and adaptation to potential labor market shifts. This Plenary Session aims to explore these complexities and provide valuable insights for businesses navigating the future of human labor in the age of artificial intelligence.

Posted by World Policy Conference on 2017-11-16 14:46:41

Tagged: , world policy conference , institut français des relations internationales , ifri , WPC , Thierry de Montbrial , Marrakech , Morocco , 2017