The Defense Innovation Board--an advisory committee of tech executives, scholars, and technologists--has unveiled its list of ethical principles for artificial intelligence (AI). If adopted by the Defense Department, then the recommendations will help shape the Pentagon's use of AI in both combat and non-combat systems. The board's principles are an important milestone that should be celebrated, but the real challenge of adoption and implementation is just beginning. For the principles to have an impact, the department will need strong leadership from the Joint AI Center (JAIC), buy-in from senior military leadership and outside groups, and additional technical expertise within the Defense Department. In its white paper, the board recognizes that the AI field is constantly evolving and that the principles it proposes represent guidelines the department should aim for as it continues to design and field AI-enabled technologies.
This blogpost is a round up of the various sets of ethical principles of robotics and AI that have been proposed to date, ordered by date of first publication. The principles are presented here (in full or abridged) with notes and references but without commentary. If there are any (prominent) ones I've missed please let me know.
This blogpost is an updated round up of the various sets of ethical principles of robotics and AI that have been proposed to date, ordered by date of first publication. I previously listed principles published before December 2017 here; this blogpost appends those principles drafted since January 2018 (plus one in October 2017 I had missed). The principles are listed here (in full or abridged) with links, notes and references but without critique. If there any (prominent) ones I've missed please let me know. I have included these to explicitly acknowledge, firstly, that Asimov undoubtedly established the principle that robots (and by extension AIs) should be governed by principles, and secondly that many subsequent principles have been drafted as a direct response.
ArchieTutor provides all architectural student with access to a library of past design cases, and enables the student to retrieve and browse through cases that are similar to a given design problem. The cases are annotated with design lessons learned from them. Further, the cases are explicitly related to releva, t design principles and guidelines, and domain mo(h'ls. The system uses these principles, guidelines and nlodels to explain, justify or critique a design choice, and to elaborate on a design lesson. It also provides the student access t.o other cases that may illustrate a given principle, guideline or model.
On 22 May, the Organization for Economic Co-operation and Development (OECD), an international team working on creating stronger policies in order to improve lives, adopted and approved new Artificial Intelligence (AI) principles. RELATED: WHAT IS EXPLAINABLE ARTIFICIAL INTELLIGENCE AND IS IT NEEDED? OECD principles on AI focus on AI that is original and trustworthy. Respect for human rights and democratic values are also strong focal points of these principles. This is a first of such principles to be agreed upon and put forward by governments.