Generative AI models can serve as AI collaborators and provide valuable insights and assistance in various professional contexts.
Google's introduction of Gemini, a multimodal generative AI model, represents the next step in the evolution of generative AI models.
Deep dives
Generative AI as an AI Collaborator in the Workplace
Generative AI, specifically large language models, can serve as AI collaborators in various professional contexts. They can work alongside software engineers, financial analysts, radiologists, and customer service agents, providing valuable insights, assistance, and suggestions. Companies like Deutsche Bank are already leveraging generative AI to support their financial analysts. The potential use cases for AI collaborators in the workplace are growing, from generating text outputs to providing visuals and images, or even assisting in voice-based interactions. This trend of AI collaboration is driven by the progress in generative AI models that are multimodal and trained on different types of data, resulting in more versatile outputs.
Gemini: Advancements in Generative AI Models
Google recently introduced Gemini, a generative AI model that aims to compete with OpenAI's ChatGPT. Gemini represents the next step in the evolution of generative AI models by incorporating multimodality. These models are trained on various modalities such as text, images, audio, and video, enabling them to generate outputs that span different types of data. For example, a request for an essay on a topic can be accompanied by generated visuals and pictures. The advancement of models like Gemini also includes the integration of tools, allowing AI models to natively understand and utilize tools for enhanced functionality.
Balancing Innovation and Responsibility in Generative AI
As generative AI continues to advance, Google emphasizes the importance of balanced decision-making between innovation and responsibility. While driving bold innovation, the company takes a cautious approach to ensure safety and compliance. Google has dedicated teams for adversarial testing, stress-testing AI models to identify and address weaknesses. They are also developing additional safety measures, such as watermarking and metadata, to indicate when AI-generated content is being used. Google believes that regulation will play a crucial role in overseeing the development and deployment of generative AI, but it needs to strike the right balance to avoid stifling innovation.
The use of artificial intelligence and specifically generative AI is growing rapidly, and tech giants like Google have an important role to play in how that technology gets adopted and developed. Sundar Pichai is the CEO of Google as well as its parent company Alphabet, which he's led as an AI-first company for several years. He speaks with HBR editor in chief Adi Ignatius about shaping Google's AI strategy, putting safeguards in place, and how work and leadership will change as AI advances.
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