To kick off three days of AI panels, discussions, fireplace chats, and networking at Transform 2020, VentureBeat offered the second annual AI Innovation Awards. Drawn each from our every day editorial protection and the experience, data, and expertise of our nominating committee members, these awards give us an opportunity to shine a lightweight on the individuals and corporations making an impression in AI.
Amid 4 nominees in every in our 5 classes — Natural Language Processing/Understanding Innovation, Business Application Innovation, Computer Vision Innovation, AI for Good, and Startup Spotlight — the winners have emerged.
And the winners are…
Natural Language Processing/Understanding Innovation: StereoSet
Research continues to uncover bias in AI fashions; StereoSet is a dataset designed to measure discriminatory behaviors like racism and sexism in language fashions whereas guaranteeing that the fashions in any other case provide sturdy efficiency. Researchers Moin Nadeem, Anna Bethke, and Siva Reddy constructed StereoSet and have made it accessible to anybody who makes language fashions. They keep a leaderboard to point out how fashions like BERT and GPT-2 measure up.
Business Application Innovation: Jumbotail
Jumbotail’s expertise revolutionizes conventional “mom & pop” shops in India, typically referred to as “kirana stores,” by connecting them with manufacturers and different high-quality product producers to assist them emerge as fashionable comfort shops. Jumbotail does so with out elevating the price to prospects, by amassing and mining in actual time hundreds of thousands of information factors on a regular basis. Thanks to its AI backend, Jumbotail turned India’s main on-line wholesale meals and grocery market, with a full stack that features built-in provide chain and logistics, in addition to an in-house fintech platform for funds and credit score. The insights generated and tech developed round this new enterprise mannequin empowers producers and prospects, and is poised to increase to different continents.
In their highly effective work, “Large image datasets: A pyrrhic win for computer vision?,” researchers Abeba Birhane, PhD candidate at University College Dublin, and Dr. Vinay Prabhu, principal machine studying scientist at UnifyID, examined the problematic opacity, information assortment ethics, labeling and classification, and penalties of huge picture datasets. These datasets, together with ImageNet and MIT’s 80 Million Tiny Images, have been cited tons of of occasions in analysis. This paper is beneath peer overview, however already it’s resulted in MIT voluntarily and formally withdrawing the Tiny Images dataset on the grounds that it comprises derogatory phrases as classes in addition to offensive pictures, and that the character of the pictures within the dataset makes it infeasible to treatment the issues.
AI for Good: Dr. Timnit Gebru
Dr. Timnit Gebru continues to be one of many strongest voices within the AI group combating racism, misogyny, and different biases — not simply within the precise expertise, however throughout the wider group of AI researchers and practitioners. She’s the co-lead of Ethical AI at Google and cofounded Black in AI, a gaggle devoted to “sharing ideas, fostering collaborations, and discussing initiatives to increase the presence of Black individuals in the field of AI.” Her work contains Gender Shades, the landmark analysis exposing the racial bias in facial recognition techniques, and Datasheets for Datasets, which goals to create a standardized course of for including documentation to datasets to extend transparency and accountability.
Startup Spotlight: Dr. Daniela Braga, DefinedCrowd Corp
DefinedCrowd Corp creates high-quality coaching information for enterprises’ AI and machine studying tasks, together with with voice recognition, pure language processing, and laptop imaginative and prescient workflows. The firm crowdsources information labeling and extra from tons of of 1000’s of paid contributors and passes the huge curation on to its enterprise prospects. Customers embrace a number of Fortune 500 corporations. The startup’s cofounder and CEO, Dr. Daniela Braga, has credentials in speech expertise and crowdsourcing relationship again practically 20 years, together with practically seven years at Microsoft that included work on Cortana. She’s led DefinedCrowd Corp by means of a number of rounds of funding — most not too long ago, a big $50.5 million spherical in May 2020.
We congratulate these winners, and all of the nominees, for his or her necessary contributions to the sphere of AI!