For many, AI remains a mysterious technology that is untouchable and hidden in computer systems. OWN introduces Artificial Agents as a tangible vision of a future where we can choose from a set of intelligent bots, provide them with tasks and have them work for us around the clock. This technology makes it easy to gain unparalleled insights into competitive landscapes and to gain real value of AI in different environments.
When designing OWN, we believe that humans should be in control. That is the reason why in OWN humans actively pick agents and make them part of their team. At any moment the human team can decide to stop working with an AI agent or pick an alternative intelligent agent.
We believe that visualization is key. In order for humans to make decisions and to understand complex processes and analytical results, we cannot rely on chat interactions only, as the data bandwidth is highly limited and does not allow to keep up with intelligent systems. Only our visual channel prevents us from becoming the pets of our AI.
We believe that ultimately humans and not computers should decide how to use computer systems. OWN is a system open for user appropriation. There is not only one specific way to use the system, instead humans can fit the highly flexible system to their needs. As, all complex problems today are intrinsically wicked and require creative, interdisciplinary, intercultural solutions, OWN is designed to be that open platform, like LEGO with AI bricks if you will, for anybody who is building solutions to the world’s complex problems.
We believe that AI should be as accountable and open as possible. With our initial users we work on bringing light into the “black box” of AI. At OWN we work on allowing users to configure algorithms. We visualize results and reveal sources. We also allow our users to make statistical results available to our users.
More and more, with the growing amount of information, the problem is not to find the needle in the haystack, because, indeed, there is not only one needle and not only one haystack. The question is rather: How many needles are there? What are they made of? Who made them? Is there a growing needle trend? Who are the people that can design needles? Which other haystacks should we look at? Etc. Search has the idea that the answer is on a single web page (listed on page one, of course). Today, that is simply often not the case. Finding an answer to more advanced questions today requires a full team of analysts who search, analyze and monitor for us. Artificial Intelligence can automate such analytical process and OWN Agents make that capability accessible to you.