Sentences with phrase «algorithmic decision»

While algorithmic decision - making is far from neutral and deserves greater scrutiny, using privacy law to justify intentionally obscuring results by lowering ranks transforms information intermediaries into knowledgeable publishers.

There were also awards for the Craziest Idea, which went to the Two of Us, Best Teamwork, won by the Gilbert & Tobin team, and for «Coolest Tech», which was awarded to a team from Cambridge University for their ClaimR, an algorithmic decision tree that predicted case outcomes to 83 % accuracy.

The way that people and organizations address problems can almost always fit somewhere on this scale: (1) intuition / biological response (2) subject matter expertise (3) statistics (4) data science and (5) autonomous algorithmic decision - making.

Stephen Metcalfe, a Conservative Member of Parliament, has asked whether the UK should install a dedicated ombudsman to deal with issues created by algorithmic decision - making, such...

For the more algorithmic strategies the investment team may subjectively override an algorithmic decision based on macroeconomic or other factors that the investment team believes the algorithm is not adequately taking into consideration.

Whenever I see a major algorithmic decision, I need to try and match it to some change in the world.

Ray Dalio makes the business case for using radical transparency and algorithmic decision - making to create an idea meritocracy where people can speak up and say what they really think — even calling out the boss is fair game.

I've touched on this topic in an earlier post called, «Robots, Law, Regulation: ««Unfortunately It's Not a Conversation That's Happening Anywhere...»» In that post I briefly highlighted an observation that Ed Walters * made when talking about the law of robotics, namely: Who makes or monitors the algorithmic decisions embedded in autonomous systems?

Not exact matches

I suspect the reason for this may be that a majority of stock volume these days is robo - trading (large algorithmic or «quant» funds), while the crypto market is still an organic market driven mainly by supply and demand... and decisions made by individuals.

NSF funds more quantitative and algorithmic research in the decision sciences as part of its Operations Research (OR) program.

The typology includes logical problems, algorithmic problems, story problems (which have underlying algorithms with a story wrapper that amounts to an algorithmic problem), rule - using problems, decision - making problems (e.g., cost - benefit analysis), troubleshooting (systematically diagnosing a fault and eliminating a problem space), diagnosis - solution problems (characteristic of medical school and involving small groups understanding the problem, researching different possible causes, generating hypotheses, performing diagnostic tests, and monitoring a treatment to restore a goal state), strategic performance, case analysis (characteristic of law or business school and involving adapting tactics to support an overall strategy and reflecting on authentic situations), design problems, and dilemmas (such as global warming, which are complex and involve competing values and which may have no obvious solutions).

The typology includes: logical problems, algorithmic problems, story problems (which are algorithmic problems with a story wrapper), «rule - using» problems, decision - making problems (e.g., cost - benefit analysis), troubleshooting (systematically diagnosing a fault, eliminating a problem space), «diagnosis - solution» problems (characteristic of medical school, which involve small groups understanding the problem, researching different possible causes, generating hypotheses, performing diagnostic tests, and monitoring a treatment to restore a goal state), strategic - performance, case analysis (characteristic of law or business school, which involve adapting tactics to support an overall strategy and reflecting on authentic situations), design problems, and dilemmas (such as global warming, which are complex and involve competing values, and which may have no solutions).

In the primary years, decision trees are a powerful algorithmic thinking tool.

Haven Life can provide such quick decisions because of their leverage of technology and use of algorithmic underwriting.

Algorithmic (Algo) trading systems are written by investment professionals who know the markets intimately and offer a fast and wise decision making process that eliminates emotion, procrastination, and irrational decisions that human nature draws out.

Algorithmic trading is a term which refers to the use of various technical indicators and advanced mathematics to make decisions about the timing, price and quantity of a market order.

Diving into the actual paper reveals that the authors believe many decision - making roles that require impartiality could benefit from «impartial algorithmic solutions.»

Daniel Katz of Michigan State spoke about his data - driven, algorithmic, modeling and prediction of U.S. Supreme Court decisions.

The EU is sensitive to this, and to a set of related algorithmic problems, and posits, in the preamble to the GPDR regulations, that an individual has the right to «an explanation of the decision reached after [algorithmic] assessment,» (Goodman and Flaxman, as cited by Ethan Chiel).

Though as AI proliferates and touches more and more decisions, and as its impacts on people and society become ever more evident, pressure may well grow for proper regulatory oversight of algorithmic blackboxes.

As an ex-googler who saw the way some (a few) PMs made decisions with their own Impact (aka career) in mind, I can cynically imagine them choosing the algorithmic method because at Google you must scale, and you get promoted by launching a cool machine learning product and not a product with < 200 channels that were hand - selected (that's boring!).

Citizens have rights to question and fight significant decisions that affect them that have been made on a solely - algorithmic basis.