Ethics of developing intelligent machines

The policy takes aim at two major threats to societal prosperity and peace.

Ethics of developing intelligent machines

Alex Aiken Project Summary: Artificial Intelligence AI is a broad and open-ended research area, and the risks that AI systems will pose in the future are extremely hard to characterize. However, it seems likely that any AI system will involve substantial software complexity, will depend on advanced mathematics in both its implementation and justification, and will be naturally flexible and seem to degrade gracefully in the presence of many types of implementation errors.

Thus we face a fundamental challenge in developing trustworthy AI: We believe that it will be possible and desirable to formally state and prove that the desired mathematical properties hold with respect to the underlying programs, and to maintain such proofs as part of the software artifacts themselves.

We propose to demonstrate the feasibility of this methodology by building a system that takes beliefs about the world in the form of probabilistic models, synthesizes inference algorithms to update those beliefs in the presence of observations, and provides formal proofs that the inference algorithms are correct with respect to the laws of probability.

Peter Asaro Project Summary: For society to enjoy many of the benefits of advanced artificial intelligence AI and robotics, it will be necessary to deal with situations that arise in which autonomous artificial agents violate laws or cause harm.

If we want to allow AIs and robots to roam the internet and the physical world and take actions that are unsupervised by humans ā€” as may be necessary for, e. Resolving this issue will require untangling a set of theoretical and philosophical issues surrounding causation, intention, agency, responsibility, culpability and compensation, and distinguishing different varieties of agency, such as causal, legal and moral.

With a clearer understanding of the central concepts and issues, this project will provide a better foundation for developing policies which will enable society to utilize artificial agents as they become increasingly autonomous, and ensuring that future artificial agents can be both robust and beneficial to society, without stifling innovation.

In order for society to benefit from advances in AI technology, it will be necessary to develop regulatory policies which manage the risk and liability of deploying systems with increasingly autonomous capabilities.

However, current approaches to liability have difficulties when it comes to dealing with autonomous artificial agents because their behavior may be unpredictable to those who create and deploy them, and they will not be proper legal agents.

The project will explore the fundamental concepts of autonomy, agency and liability; clarify the different varieties of agency that artificial systems might realize, including causal, legal and moral; and the illuminate the relationships between these. It will deliver a book-length publication containing the theoretical research results and recommendations for policy-making.

Magazines | National Wildlife Federation

Seth Baum Project Summary: Some experts believe that computers could eventually become a lot smarter than humans are. They call it artificial superintelligence, or ASI. If people build ASI, it could be either very good or very bad for humanity. Our project studies the ways that people could build ASI in order to help people act in better ways.

We will model the different steps that need to occur for people to build ASI. We will estimate how likely it is that these steps will occur, and when they might occur. We will also model the actions people can take, and we will calculate how much the actions will help.

For example, governments may be able to require that ASI researchers build in safety measures. Our models will include both the government action and the ASI safety measures, to learn about how well it all works.

This project is an important step towards making sure that humanity avoids bad ASI and, if it wishes, creates good ASI. Artificial superintelligence ASI has been proposed to be a major transformative future technology, potentially resulting in either massive improvement in the human condition or existential catastrophe.

However, the opportunities and risks remain poorly characterized and quantified. This reduces the effectiveness of efforts to steer ASI development towards beneficial outcomes and away from harmful outcomes. While deep uncertainty inevitably surrounds such a breakthrough future technology, significant progress can be made now using available information and methods.

We propose to model the human process of developing ASI. ASI would ultimately be a human creation; modeling this process indicates the probability of various ASI outcomes and illuminates a range of ways to improve outcomes.

We will characterize the development pathways that can result in beneficial or dangerous ASI outcomes. We will apply risk analysis and decision analysis methods to quantify opportunities and risks, and to evaluate opportunities to make ASI less risky and more beneficial.

Specifically, we will use fault trees and influence diagrams to map out ASI development pathways and the influence that various actions have on these pathways.

Our proposed project will produce the first-ever analysis of ASI development using rigorous risk and decision analysis methodology.Machine Ethics [Michael Anderson, Susan Leigh Anderson] on *FREE* shipping on qualifying offers.

The new field of machine ethics is concerned with giving machines ethical principles, or a procedure for discovering a way to resolve the ethical dilemmas they might encounter. Why the future doesnā€™t need us. Our most powerful 21st-century technologies ā€“ robotics, genetic engineering, and nanotech ā€“ are threatening to make humans an endangered species.

From the. Intelligence To be intelligent you first have to know what being Intelligent is.

Ethics of developing intelligent machines

And you also have to know what being ignorant is. Ignorant is just another word for "Not knowing".But not knowing is not always obvious or clearly's because learning is not fully understood.

The more you learn the more you should realize what . The prospect of artificial intelligence has long been a source of knotty ethical questions, typically about how humans can and should use advanced robots.

Ethics of developing intelligent machines

What is missing from the discussion is the need to develop a set of ethics for the machines themselves, to enable them to operate autonomously. 1. Introduction. The past decade has seen a rapid growth of research in the area of ethics of robotics, also and particularly as applied to healthcare.

TEGMARK: Artificial intelligence is the ultimate powerful technology because if we ever succeed in making machines that are much smarter than us and keep amplifying their own intelligence, there.

Creating Artificial Intelligence | April 17, | Religion & Ethics NewsWeekly | PBS