Some thoughts on the MIT/Stanford VLAB gathering last week entitled: RISE OF THE MACHINES, Artificial Intelligence and Business:
The Panel consisted of those in robotics, “intelligent” ad placement engines and utilitarian “personal assistant” apps that acquire realtime knowledge from partner domains and reshape it for the End User. All very interesting and robust technologies.
However, what was lacking was any discussion re: the “human” side of Artificial Intelligence and the extensive business applications that open up when AI is focused on simulated humans, not only on data retrieval and data driven response.
Historically, it’s been chatbot and IVR platforms that have sought to carve out limited business apps based on (mainly) pre-scripted customer service products with some level of natural language processing; it was interesting that there were no companies represented on the panel from that side of the coin – However the Moderator did open with a statement about how there “…should be an AI TWITTER character on the panel.” (if he’d only asked, we’d have provided one).
To emulate humans and “connect” with the End User AI character/agents must engage in story. Humans relate and respond to one another through story…it’s how we remember. Creating AI characters in a story environment is an interdisciplinary craft that has AI technology at it’s heart, but requires additional features and skills. Why do humans spend so much time watching television (old tv or internet tv), movies, reading or re-telling the events of the day over dinner? The need for “story” remains essential to the human experience. Interaction with AI characters in a story-based context delivers extensive and valuable business applications for AI.
People are attracted to good stories. And, they enjoy re-telling them (stories are viral).
When we consider how Mobile and Retail In-Store relationships between Brands and Consumers will evolve, particularly with mobile devices, we think about connecting and engaging the Consumer by bringing them into the story making process. This creates a memorable and impressionable experience that goes beyond the transfer of data. It fulfills an essential need for story-based communication. For transplatform story and media properties the inclusion of User conversation and engagement is a unique tentacle to add into the matrix.
Will machines will be perceived as human as they become great story tellers?
contentAI studios have story and character “overlay engines” that work in conjunction with the core artificial intelligence engine; when combined, they create fascinating storydriven conversational experiences that are rich in knowledge and can also connect on a near-human level.
The conversational experiences are further enhanced through the sourcing of real time data via 3rd party APIs or other processes, as well as the inclusion of “memory fields” to personalize each conversation. The AI “characters” we create are multi-dimensional and deliver an End User experience that simulates human interaction; all drivenby a core AI conversational engine that continues to self evolve and evolve through new programming initiatives.
We thrive on interdisciplinary AI technologies and techniques. That’s our story.
22 September 2009
Simulated Humans and AI: Engaging the End User through Story
Some thoughts on the MIT/Stanford VLAB gathering last week entitled: RISE OF THE MACHINES, Artificial Intelligence and Business:
The Panel consisted of those in robotics, “intelligent” ad placement engines and utilitarian “personal assistant” apps that acquire realtime knowledge from partner domains and reshape it for the End User. All very interesting and robust technologies.
However, what was lacking was any discussion re: the “human” side of Artificial Intelligence and the extensive business applications that open up when AI is focused on simulated humans, not only on data retrieval and data driven response.
Historically, it’s been chatbot and IVR platforms that have sought to carve out limited business apps based on (mainly) pre-scripted customer service products with some level of natural language processing; it was interesting that there were no companies represented on the panel from that side of the coin – However the Moderator did open with a statement about how there “…should be an AI TWITTER character on the panel.” (if he’d only asked, we’d have provided one).
To emulate humans and “connect” with the End User AI character/agents must engage in story. Humans relate and respond to one another through story…it’s how we remember. Creating AI characters in a story environment is an interdisciplinary craft that has AI technology at it’s heart, but requires additional features and skills. Why do humans spend so much time watching television (old tv or internet tv), movies, reading or re-telling the events of the day over dinner? The need for “story” remains essential to the human experience. Interaction with AI characters in a story-based context delivers extensive and valuable business applications for AI.
People are attracted to good stories. And, they enjoy re-telling them (stories are viral).
When we consider how Mobile and Retail In-Store relationships between Brands and Consumers will evolve, particularly with mobile devices, we think about connecting and engaging the Consumer by bringing them into the story making process. This creates a memorable and impressionable experience that goes beyond the transfer of data. It fulfills an essential need for story-based communication. For transplatform story and media properties the inclusion of User conversation and engagement is a unique tentacle to add into the matrix.
Will machines will be perceived as human as they become great story tellers?
contentAI studios have story and character “overlay engines” that work in conjunction with the core artificial intelligence engine; when combined, they create fascinating storydriven conversational experiences that are rich in knowledge and can also connect on a near-human level.
The conversational experiences are further enhanced through the sourcing of real time data via 3rd party APIs or other processes, as well as the inclusion of “memory fields” to personalize each conversation. The AI “characters” we create are multi-dimensional and deliver an End User experience that simulates human interaction; all drivenby a core AI conversational engine that continues to self evolve and evolve through new programming initiatives.
We thrive on interdisciplinary AI technologies and techniques. That’s our story.
22 September 2009