Artificially Intelligent Boards and the Future of Delaware Corporate Law

The prospects for Artificial Intelligence (AI) to impact the development of Delaware corporate law are at once over- and under-stated. As a general matter, claims to the effect that AI systems might ultimately displace human directors not only exaggerate the foreseeable technological potential of these systems, but also tend to ignore doctrinal and institutional impediments intrinsic to Delaware\u27s competitive model – notably, heavy reliance on nuanced and context-specific applications of the fiduciary duty of loyalty by a true court of equity. At the same time, however, there are specific applications of AI systems that might not merely be accommodated by Delaware corporate law, but perhaps eventually required. Such an outcome would appear most plausible in the oversight context, where fiduciary loyalty has been interpreted to require good faith effort to adopt a reasonable compliance monitoring system, an approach driven by an implicit cost-benefit analysis that could lean decisively in favor of AI-based approaches in the foreseeable future. This article discusses the prospects for AI to impact Delaware corporate law in both general and specific respects and evaluates their significance. Section II describes the current state of the technology and argues that AI systems are unlikely to develop to the point that they could displace the full range of functions performed by human boards in the foreseeable future. Section III, then, argues that even if the technology were to achieve more impressive results in the near-term than I anticipate, acceptance of non-human directors would likely be blunted by doctrinal and institutional structures that place equity at the very heart of Delaware corporate law. Section IV, however, suggests that there are nevertheless discrete areas within Delaware corporate law where reliance by human directors upon AI systems for assistance in board decision-making might not merely be accommodated, but eventually required. This appears particularly plausible in the oversight context, where fiduciary loyalty has become intrinsically linked with adoption of compliance monitoring systems that are themselves increasingly likely to incorporate AI technologies. Section V briefly concludes

ARTIFICIAL INTELLIGENCE – HOPE OR DOOM

Humanity has always strived to find new ways to facilitate our way of living and communication. Once upon a time, there were the ancient civilizations, then came the Industrial Revolution and, most recently, the enormous progress in the field of computer technologies. At first, all of these developments were accepted as era-defining and vastly positive assets for the human race. However, as witnessed by almost all of us, things weren’t always as black and white as they seemed; there was a consistent grey area inside the human psyche that these undertakings, no matter how conveniently looking to be, if gone wrong, they could spell doom to our society. Many scientists, fiction writers and humanists such as Isaac Asimov, Stephen Hawking, Michio Kaku, etc. have continuously expressed a worrying viewpoint on these issues in general and on Artificial Intelligence in particular. In this paper, we will examine both the positive and negative views regarding AI and give a balanced analysis in trying to help the reader to have a more knowledgeable stance towards this matter. We will draw a line between what is considered science and science fiction, and what is probable and possible to happen in the mysterious future that awaits us.Keywords: AI, cyberwar, robotics, technology, humanity

Method and associated apparatus for capturing, servicing, and de-orbiting earth satellites using robotics

This invention is a method and supporting apparatus for autonomously capturing, servicing and de-orbiting a free-flying spacecraft, such as a satellite, using robotics. The capture of the spacecraft includes the steps of optically seeking and ranging the satellite using LIDAR; and matching tumble rates, rendezvousing and berthing with the satellite. Servicing of the spacecraft may be done using supervised autonomy, which is allowing a robot to execute a sequence of instructions without intervention from a remote human-occupied location. These instructions may be packaged at the remote station in a script and uplinked to the robot for execution upon remote command giving authority to proceed. Alternately, the instructions may be generated by Artificial Intelligence (AI) logic onboard the robot. In either case, the remote operator maintains the ability to abort an instruction or script at any time, as well as the ability to intervene using manual override to teleoperate the robot.In one embodiment, a vehicle used for carrying out the method of this invention comprises an ejection module, which includes the robot, and a de-orbit module. Once servicing is completed by the robot, the ejection module separates from the de-orbit module, leaving the de-orbit module attached to the satellite for de-orbiting the same at a future time. Upon separation, the ejection module can either de-orbit itself or rendezvous with another satellite for servicing. The ability to de-orbit a spacecraft further allows the opportunity to direct the landing of the spent satellite in a safe location away from population centers, such as the ocean

Logic in Opposition

It is claimed hereby that, against a current view of logic as a theory of consequence, opposition is a basic logical concept that can be used to define consequence itself. This requires some substantial changes in the underlying framework, including: a non-Fregean semantics of questions and answers, instead of the usual truth-conditional semantics; an extension of opposition as a relation between any structured objects; a definition of oppositions in terms of basic negation. Objections to this claim will be reviewed

Artificial Intelligence in the Context of Human Consciousness

Artificial intelligence (AI) can be defined as the ability of a machine to learn and make decisions based on acquired information. AI’s development has incited rampant public speculation regarding the singularity theory: a futuristic phase in which intelligent machines are capable of creating increasingly intelligent systems. Its implications, combined with the close relationship between humanity and their machines, make achieving understanding both natural and artificial intelligence imperative. Researchers are continuing to discover natural processes responsible for essential human skills like decision-making, understanding language, and performing multiple processes simultaneously. Artificial intelligence attempts to simulate these functions through techniques like artificial neural networks, Markov Decision Processes, Human Language Technology, and Multi-Agent Systems, which rely upon a combination of mathematical models and hardware

Social Mental Shaping: Modelling the Impact of Sociality on Autonomous Agents' Mental States

This paper presents a framework that captures how the social nature of agents that are situated in a multi-agent environment impacts upon their individual mental states. Roles and relationships provide an abstraction upon which we develop the notion of social mental shaping. This allows us to extend the standard Belief-Desire-Intention model to account for how common social phenomena (e.g. cooperation, collaborative problem-solving and negotiation) can be integrated into a unified theoretical perspective that reflects a fully explicated model of the autonomous agent's mental state