What if artificial intelligence (AI) could have deep discussions with you? Yes, that’s what Google’s new AI model will bring to you. Just imagine having a 2 hour pep talk with AI on your life’s future. Made by Deepmind, named ‘Personality agents,’ the new advanced AI can analyse your responses to random questions in real time. Here’s a more detailed look about the futuristic ‘personality agents.’
Decoding ‘Personality agents’
The new AI agent is made by Google’s DeepMind. Notably DeepMind is an AI developing platform. So, how do these ‘personality agents’ work? According to researchers, the technology uses advanced AI to analyse participants’ responses in real time. This helps the AI to generate models that can mimic human’s decision-making, thought processes and reactions with about 85% accuracy. Let’s have a detailed look at how the agent executes the ‘deep analysing’ process.
So, the process starts with a two-hour session conducted by a conversational AI. This features a friendly 2D sprite interface. As participants start responding to questions, the AI captures their speech patterns, choices and decision-making tendencies The responses are then used in building a personality profile. Thus, helping the AI to get a detailed study about the human personality and using the latter for different use cases.
Can AI be your new ‘Ted speaker’?
Looking ahead, the researchers had tested the system on 1,000 participants. Seeing the results they claim that the AI agent can offer a cost-effective and scalable way to study human behaviour. This can help in assessing and addressing mental health issues. For example someone dealing with early stages of depression or anxiety.
In addition to this the AI agent has the potential to revolutionise human-robot interactions. This could mean that the future could see paving the way for robots that respond to emotions and social cues naturally.
Furthermore, with the personality agents, researchers can get quick responses without the need of interviewing thousands of individuals. This could eventually help to reduce costs and increase efficiency in fields such as marketing, sociology and behavioural studies.
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