k·yield v. - Yield Management of Knowledge

Inspired by Nature. Managed by Humans. Assisted by AI.

Plausible Scenarios For AI in Preventing Catastrophes

Given consistent empirical evidence demonstrating that the raising of red flags has resulted in a lower probability of essential actors heeding warnings than causing of unintended consequences, those endowed with a public platform carry a special responsibility, as do system architects. Nowhere is this truer than at the confluence of advanced technology and existential risk to humanity....→


Recent trends in artificial intelligence algorithms

Much of the recent advancement in AI has been due to convolutional neural networks, which can be trained to mimic partial functionality of the human visual cortex. The inability to accurately identify objects is a common problem, which slows productivity, increases risk, and causes accidents worldwide....→


While it is more challenging to achieve buy-in for organization-wide systems, it is physically impossible to achieve critical use cases otherwise, some of which have already proven to be very serious, and can be fatal. Moreover, very few distributed organizations can become a CALO without a holistic system design across the organization’s networks, particularly in the age of distributed network computing....→

Legacy of the Tōhoku Earthquake

Whether psychological, social, technical, economic, or some combination thereof, it would seem that no justification for not deploying the most advanced crisis prevention systems can be left standing. Indeed, we all have a moral imperative that demands of us to rise above our bias, personal and institutional conflicts, and defensive nature, to explore and embrace the most appropriate solutions....→


Complex Dynamics at the Confluence of Human and Artificial Intelligence

The topic of AI recently came up at Santa Fe Institute (SFI) during a seminar by Hamid Benbrahim surrounding research in financial markets. Several senior scientists chimed in during Hamid’s talk representing computer science (CS), physics (2), neuroscience, biology, and philosophy, as well as several practioners with relevant experience. SFI is celebrating its 30th anniversary this year as a pioneer in complexity research where these very types of topics are explored, attracting leading thinkers worldwide.....→

Applied artificial intelligence: Mythological to neuroanatomical

In addition to neuromorphic chips, researchers are increasingly focused on the use of organic materials, which is part of a broader trend towards convergence of hardware, software, and wetware described by IARPA as cortical computing, aka neuroanatomical. The ability to manipulate mass at the atomic level in computational physics is now on the horizon, raising new governance issues as well as unlimited possibilities....→

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"If a hypothetical perfect Chief Knowledge Officer existed, how would we optimally achieve his/her mission in a computer network environment, how would it be designed, and what essential components would be required?"  

-- Mark Montgomery (1998)