Search Results

In a new paper published by the Progressive Policy Institute, ICLE Senior Fellow Dirk Auer and PPI’s Caleb Watney make the case that while the EU desires to be at the forefront of developing regulations to manage emerging issues relevant to artificial intelligence, the European Commission’s leadership have failed to grapple meaningfully with the significant tradeoffs that regulation of these new technologies entails.

I type these words while subject to a stay-at-home order issued by West Virginia Governor James C. Justice II. “To preserve public health and safety, and to ensure the healthcare system in West Virginia is capable of serving all citizens in need,” I am permitted to leave my home only for a limited and precisely enumerated set of reasons. Billions of citizens around the globe are now operating under similar shelter-in-place directives as governments grapple with how to stem the tide of infection, illness and death inflicted by the global Covid-19 pandemic. Indeed, the first response of many governments has been to impose severe limitations on physical movement to contain the spread of the novel coronavirus. The second response contemplated by many, and the one on which this blog post focuses, involves the extensive collection and analysis of data in connection with people’s movements and health. Some governments are using that data to conduct sophisticated contact tracing, while others are using the power of the state to enforce orders for quarantines and against gatherings.

Read the full piece here.

Pretty interesting interview with Google’s Senior VP Amit Singhal on where search technology is headed.  In the article, Singhal describes the shift from a content-based, keyword index  to incorporating links and other signals to improve query results.  The most interesting part of the interview is about what is next.

Google now wants to transform words that appear on a page into entities that mean something and have related attributes. It’s what the human brain does naturally, but for computers, it’s known as Artificial Intelligence.

It’s a challenging task, but the work has already begun. Google is “building a huge, in-house understanding of what an entity is and a repository of what entities are in the world and what should you know about those entities,” said Singhal.

In 2010, Google purchased Freebase, a community-built knowledge base packed with some 12 million canonical entities. Twelve million is a good start, but Google has, according to Singhal, invested dramatically to “build a huge knowledge graph of interconnected entities and their attributes.”

The transition from a word-based index to this knowledge graph is a fundamental shift that will radically increase power and complexity. Singhal explained that the word index is essentially like the index you find at the back of a book: “A knowledge base is huge compared to the word index and far more refined or advanced.”

Right now Google is, Singhal told me, building the infrastructure for the more algorithmically complex search of tomorrow, and that task, of course, does include more computers. All those computers are helping the search giant build out the knowledge graph, which now has “north of 200 million entities.” What can you do with that kind of knowledge graph (or base)?

Initially, you just take baby steps. Although evidence of this AI-like intelligence is beginning to show up in Google Search results, most people probably haven’t even noticed it.

For example:

Type “Monet” into Google Search, for instance, and, along with the standard results, you’ll find a small area at the bottom: “Artwork Searches for Claude Monet.” In it are thumbnail results of the top five or six works by the master. Singhal says this is an indication that Google search is beginning to understand that Monet is a painter and that the most important thing about an artist is his greatest works.

When I note that this does not seem wildly different or more exceptional that the traditional results above, Singhal cautioned me that judging the knowledge graph’s power on this would be like judging an artist on work he did as a 12- or 24-month-old.

Check out the whole article.  Counterfactuals are always difficult — but its difficult to imagine a basis for arguments that the evolution of search technology would have been — or will be — better for consumers with government regulation.

Filed under: google, Internet search, technology

A recent article argues “65 percent of today’s elementary aged kids may end up doing work that hasn’t even yet been invented.”  This is a thought provoking number and it points to the disruptive nature of innovation and its impact on a variety of labor markets.  There is a portion of the downturn in legal hiring that is associated with the business cycle.  When economic conditions improve – there should be a rebound.  However, starting even before the recession, it is reasonably clear that a serious structural change was underway.  Expect this broader trend to continue.  As Bruce H. Kobayashi & Larry E. Ribstein have argued, we are at the very beginning of Law’s Information Revolution. Whether we like it or not, informatics, computing and technology are going to change both what it means to practice law and to “think like a lawyer.”

Read the full piece here.