Earlier this month, in what many consider the copyright case of the decade, the Supreme Court released its much-anticipated decision in Google v. Oracle. In it, the Court ruled that Google’s copying of 11,500 lines of declaring code from Java SE for use in Google’s Android platform, was fair use. Having recently reviewed the history of the fair use defense in copyright infringement cases, we now turn to the case itself.
Last month, the Supreme Court released its much-anticipated decision in Google v. Oracle. The Court ruled that Google’s copying of 11,500 lines of declaring code from Java SE, for use in Google’s Android platform, was fair use.
While we examine the Supreme Court’s decision in another post, let’s first take a look at the history of the fair use defense in the software industry.
Just as video killed the radio star, so did the digital transformation kill (or at least convert) traditional media. While “going digital” became the bane of many traditional media companies that struggled to make the leap to an online world, NFTs may be the digital savior that some of these companies need. Imagine that you are a company with a known brand and sizeable catalog of media with potential historical and cultural significance. Yet, you’ve found it difficult to monetize these assets in a world that abhors paywalls and often takes an overly broad view of what constitutes “fair use.” If only there were a way to highlight the unique significance of these assets and tap into the latent collector in all of us. Anyone who follows us already knows that NFTs can serve this very function.
As part of our on-going coverage on the use and potential abuse of facial recognition AI, we bring you news out of Michigan, where the University of Michigan’s Law School, the American Civil Liberties Union (ACLU) and the ACLU of Michigan have filed a lawsuit against the Detroit Police Department (DPD), the DPD Police Chief, and a DPD investigator on behalf of Robert Williams—a Michigan resident who was wrongfully arrested based on “shoddy” police work that relied upon facial recognition technology to identify a shoplifter.
When the first social media hashtag was used in 2007, users had no idea how ubiquitous hashtags would become. Today, hashtags are an essential part of our lives (and a subject we’ve been writing about for years). From marketing a business to garnering support for a cause, hashtags have become an essential part of our society. This may even be an understatement. For instance, from May 26, 2020, until June 7, 2020, alone, the #BlackLivesMatter hashtag was used over 47 million times on Twitter. 47 million. Talk about impact.
On April 1, 2021, the U.S. Supreme Court resolved a long standing issue plaguing providers of text message services and the companies engaging in text message marketing. Lower courts have been split in defining what constitutes an “automatic telephone dialing system” or auto-dialer with the definition either limited to equipment whose capacity to generate, store and dial telephone numbers was limited to random or sequential numbers or to any device with the capacity to store and automatically dial stored numbers using, for example, a speed-dial function.
Anyone who follows the crypto space knows that non-fungible tokens (NFTs) are all the rage of late. We have written on the subject previously on multiple occasions, particularly with respect to NFTs that tokenize works of digital art. (For a primer on digital art NFTs, check out prior posts here and here.)
On March 15, amendments to the California Consumer Privacy Act (CCPA) banned companies from using “dark patterns” that confuse or delay consumers trying to opt out of the sale of their personal information.
Interactive online platforms have become an integral part of our daily lives. While user-generated content, free from traditional editorial constraints, has spurred vibrant online communications, improved business processes and expanded access to information, it has also raised complex questions regarding how to moderate harmful online content. As the volume of user-generated content continues to grow, it has become increasingly difficult for internet and social media companies to keep pace with the moderation needs of the information posted on their platforms. Content moderation measures supported by artificial intelligence (AI) have emerged as important tools to address this challenge.
Your company wants to use a picture taken outside of your office at an event you are hosting or sponsoring. Perhaps the image shows someone wearing your clothing or other product or using something showing your brand. Possibly you participated in a parade and want some images showing your company’s float or views from the float along the parade route. Maybe the image shows the outside of your building or the immediately surrounding area. You may have hired a photographer to take the pictures, they may have been taken by an employee, or someone may have found them on a third-party website or social media posts. The pictures may depict people who were on the street or present at the event, and they may include images of one or more buildings or local landmarks.
