DAM News Round-Up – 11th July 2022
A collection of recent DAM-related articles from around the web.
Senior Director of Digital Strategy and Innovation at Claravine, Michael Shearer, has recently posted an article exploring how under-optimisation and poor utilisation of metadata within digital content workflows can often lead to missed opportunities, and ultimately, a reduction in ROI. Some useful insights for those involved in DAM, content creation and marketing technology.
Earlier this month, the U.S. Copyright Office refused to grant a copyright for an image made by artificial intelligence – the first such ruling. This article from dot.LA explains how attorney Ryan Abbott is challenging the reasoning behind the decision, and the potential implications for AI-assisted artworks that attract significant commercial interest. The AI program’s owner, Dr. Stephen Thaler, plans to file an appeal against the decision that states “human authorship is a prerequisite to copyright protection”.
The mysterious case of disappearing machine-learning datasets is examined in this recent post from independent digital magazine Undark. Covering the broader crisis in machine learning, the article explains how organisations are pulling their content due to a raft of issues including privacy concerns, data obtained without consent, and perhaps most importantly, the inherent biases that are present in the data and algorithms such as race, sex and social demographics. A detailed and engaging article that maps the proliferation of ever-larger datasets, the often shady practices involved in obtaining them, and the potential harm they can cause in a society that’s increasingly governed by data.
The topic of trust, authenticity and provenance in the NFT and digital art space is raised in this recent post from visual tech specialist Paul Melcher. According to a recent tweet from OpenSea, one of the largest NFT marketplaces, over 80% of the NFTs on the platform are either fake or plagiarised (equating to around 50,000 instances per day). With such startling statistics it’s obvious that a new approach to establishing trust is required. Although the transactions are on the blockchain, and therefore considered trustworthy, the actual digital assets that constitute the artworks are generally stored off-chain, where they can be easily replicated and resold. The solution, Paul explains, is to simply embed a reference to the original transaction within the NFT itself, using an invisible watermark such as those offered by Imatag.
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