Kartik Hosanagar, a Wharton professor and co-director of AI at Wharton, discusses the transformative power of AI in various sectors. He highlights how AI can foster innovation, particularly in sustainable development through human-AI collaboration. Hosanagar delves into the role of generative AI in patent analysis and its potential to simplify complex data relationships for better decision-making. He also compares the effectiveness of AI chatbots like ChatGPT to traditional search engines, revealing insights into user efficiency and satisfaction.
Generative AI enhances creative problem solving by collaborating with humans, yet human input remains essential for truly unique ideas.
The combination of ChatGPT and traditional search engines allows users to maximize productivity while compensating for individual tool limitations.
Deep dives
The Role of Generative AI in Creative Problem Solving
Generative AI can significantly enhance creative problem solving by collaborating with humans to generate innovative solutions. Research indicates that while AI can produce responses with high value, it struggles to generate extremely novel ideas compared to human input. This study utilized a crowdsourcing challenge focused on the circular economy, where human solvers were compared to AI-generated solutions. The results showed that although human AI collaborations can yield equivalent creative performance, humans tend to formulate more unique ideas, pointing to the necessity of combining human and AI strengths for optimal outcomes.
Utilizing Generative AI for Patent Mapping
Generative AI has the potential to effectively map patents and firm innovations by representing complex business objects for deeper insights. This process utilizes a novel approach called intentional representation learning, which disentangles the effects of different dimensions of objects, enabling better manipulation and exploration of data. By employing generative models, insights about competitor strengths and technological landscapes can be mapped, aiding strategic decision-making. Consequently, this method allows businesses and researchers to leverage AI in a way that enhances their analytical capabilities while navigating complex datasets.
Comparing ChatGPT and Google for Information Search
The effectiveness of ChatGPT and traditional search engines like Google varies based on the type of search task, highlighting the need for strategic tool selection. Users interacting with ChatGPT reported enhanced productivity and satisfaction, particularly for tasks involving information lookup, yet exhibited challenges in fact-verifying tasks. Moreover, employing both tools in tandem improved overall performance and compensates for individual weaknesses, indicating the complementary nature of these technologies. Therefore, users should be encouraged to leverage the strengths of both tools strategically based on their search objectives.
From crowdsourcing to search engines, emerging AI technologies are pivotal in fostering innovation and advancing progress across various sectors.
In this “AI Horizons” podcast episode, Kartik Hosanagar — Wharton professor of operations, information and decisions, and co-director of AI at Wharton — joins leading academics as they discuss how artificial intelligence is set to shape future developments.