Matches in SemOpenAlex for { <https://semopenalex.org/work/W2752085253> ?p ?o ?g. }
Showing items 1 to 76 of
76
with 100 items per page.
- W2752085253 abstract "Artificial intelligence and machine learning grab headlines these days, and for good reason. Consider the remarkable developments that machine learning has made in the past decade. Many of us have come to expect instantaneous access to all of the world’s knowledge with search engines. Logistics companies use machine learning to optimize supply chains in ways that were unthinkable in years past. Online retailers make suggestions about what consumers might like to buy based on past browsing activity, generating billions in additional revenues annually. Autonomous vehicles are on the road in many jurisdictions and are predicted to be mainstream within the next ten years. In the legal realm, various popular and legal publications include headlines that use sci-fi terms like “robot lawyer” and sensationalize the use of computing power and algorithms in the legal profession. All of this appears to blend reality with science fiction, and to combine software engineering with hype and marketing bluster. Lawyers typically react to media accounts of these developments in one of two, polar opposite ways. Some confidently dismiss the hype around legal technology and take the position that artificial intelligence will never replicate precisely what they can do as advocates and so conclude that there is nothing at all that they should even consider changing about what they do and how they do it. Others are anxious about the advent of machine learning and artificial intelligence and what it might mean for their own work and the future of the profession more generally. This anxiety is fomented by a sense of helplessness: that there is nothing in particular that they feel they can do to prepare themselves for developments that have had and will continue have significant impact on other industries (e.g., transportation). Both reactions are understandable; each has some merit. Neither, however, captures the full story." @default.
- W2752085253 created "2017-09-15" @default.
- W2752085253 creator A5010491754 @default.
- W2752085253 creator A5012648769 @default.
- W2752085253 creator A5043293895 @default.
- W2752085253 date "2017-01-01" @default.
- W2752085253 modified "2023-09-27" @default.
- W2752085253 title "Computational Legal Research and the Advocates of the Future" @default.
- W2752085253 doi "https://doi.org/10.2139/ssrn.3015972" @default.
- W2752085253 hasPublicationYear "2017" @default.
- W2752085253 type Work @default.
- W2752085253 sameAs 2752085253 @default.
- W2752085253 citedByCount "0" @default.
- W2752085253 crossrefType "journal-article" @default.
- W2752085253 hasAuthorship W2752085253A5010491754 @default.
- W2752085253 hasAuthorship W2752085253A5012648769 @default.
- W2752085253 hasAuthorship W2752085253A5043293895 @default.
- W2752085253 hasConcept C111472728 @default.
- W2752085253 hasConcept C121332964 @default.
- W2752085253 hasConcept C121955636 @default.
- W2752085253 hasConcept C136815107 @default.
- W2752085253 hasConcept C138885662 @default.
- W2752085253 hasConcept C144133560 @default.
- W2752085253 hasConcept C154945302 @default.
- W2752085253 hasConcept C163258240 @default.
- W2752085253 hasConcept C17744445 @default.
- W2752085253 hasConcept C195487862 @default.
- W2752085253 hasConcept C199539241 @default.
- W2752085253 hasConcept C2777617010 @default.
- W2752085253 hasConcept C2778757428 @default.
- W2752085253 hasConcept C39549134 @default.
- W2752085253 hasConcept C41008148 @default.
- W2752085253 hasConcept C62520636 @default.
- W2752085253 hasConceptScore W2752085253C111472728 @default.
- W2752085253 hasConceptScore W2752085253C121332964 @default.
- W2752085253 hasConceptScore W2752085253C121955636 @default.
- W2752085253 hasConceptScore W2752085253C136815107 @default.
- W2752085253 hasConceptScore W2752085253C138885662 @default.
- W2752085253 hasConceptScore W2752085253C144133560 @default.
- W2752085253 hasConceptScore W2752085253C154945302 @default.
- W2752085253 hasConceptScore W2752085253C163258240 @default.
- W2752085253 hasConceptScore W2752085253C17744445 @default.
- W2752085253 hasConceptScore W2752085253C195487862 @default.
- W2752085253 hasConceptScore W2752085253C199539241 @default.
- W2752085253 hasConceptScore W2752085253C2777617010 @default.
- W2752085253 hasConceptScore W2752085253C2778757428 @default.
- W2752085253 hasConceptScore W2752085253C39549134 @default.
- W2752085253 hasConceptScore W2752085253C41008148 @default.
- W2752085253 hasConceptScore W2752085253C62520636 @default.
- W2752085253 hasLocation W27520852531 @default.
- W2752085253 hasOpenAccess W2752085253 @default.
- W2752085253 hasPrimaryLocation W27520852531 @default.
- W2752085253 hasRelatedWork W115219529 @default.
- W2752085253 hasRelatedWork W1512796087 @default.
- W2752085253 hasRelatedWork W1560282823 @default.
- W2752085253 hasRelatedWork W1590085117 @default.
- W2752085253 hasRelatedWork W2004712092 @default.
- W2752085253 hasRelatedWork W2020101803 @default.
- W2752085253 hasRelatedWork W2024951598 @default.
- W2752085253 hasRelatedWork W2034726159 @default.
- W2752085253 hasRelatedWork W2264954082 @default.
- W2752085253 hasRelatedWork W2329878025 @default.
- W2752085253 hasRelatedWork W244916765 @default.
- W2752085253 hasRelatedWork W2593573916 @default.
- W2752085253 hasRelatedWork W2957075117 @default.
- W2752085253 hasRelatedWork W3121501920 @default.
- W2752085253 hasRelatedWork W313437740 @default.
- W2752085253 hasRelatedWork W3156123239 @default.
- W2752085253 hasRelatedWork W344779751 @default.
- W2752085253 hasRelatedWork W5469850 @default.
- W2752085253 hasRelatedWork W598629925 @default.
- W2752085253 hasRelatedWork W2777403334 @default.
- W2752085253 isParatext "false" @default.
- W2752085253 isRetracted "false" @default.
- W2752085253 magId "2752085253" @default.
- W2752085253 workType "article" @default.