2023年2月24日

2023年2月24日,超過四分之一的ML從業者認為,偏見永遠不會真正根除從人工智能產品近三分之一的ML實踐者相信創新會減緩由於當前的經濟氣候彗星,機器學習的主要MLOps平台提供商(ML)團隊從啟動到企業,今天宣布其第二次年度調查的結果狀態的毫升。MLOps行業的所有新的狀態報告| 2023年機器學習醫生的調查,其中包括從503毫升從業人員反應,揭示了影響采用ML的幾個重要問題,以及項目和倡議的成功。“我們的最新調查之際,ML從業者麵臨新的現實,有自己的獨特的挑戰,”吉迪恩遺傳學家說,首席執行官和共同創始人的彗星。“組織可能收緊預算在經濟不穩定時期,但由於領導人認識到毫升解鎖的潛力不可思議的商業價值,可能會有推動毫升從業者迅速解決更複雜的問題。這可能包括解決偏見或堅持新的AI權利法案,這使得毫升命令式從業者和組織的ML的成功項目,有合適的工具。”在今年的報告中出現的關鍵主題是:AI權利法案,偏見,和業務挑戰在緊縮預算。AI權利法案,美國白宮科技政策辦公室(WHOSTP)發表的最近的藍圖”AI權利法案”,製定了五項原則應該指導設計、使用和部署的自動化係統。政府如何文檔提供了一個框架,技術公司,和公民可以一起工作以確保更負責任的人工智能。的反應在ML社區:近四分之三(73%)的ML從業者同意AI權利法案應該受法律強製與選擇。大約在5(39%)認為AI權利法案將影響他們的ML部署和開發方法通過減緩這個過程。同樣,37%的人認為AI權利法案將使ML部署和開發過程更加困難。超過三分之一(35%)認為這將使這個過程更加昂貴。 On a positive note, almost 2 in 5 (38%) believe the AI Bill of Rights will make the ML deployment and development process safer, and a similar percentage (37%) think it will reduce the possibility of privacy violations. Over a third (35%) think the AI Bill of Rights will reduce the frequency of unsafe or ineffective ML systems. Bias in AI Products In fact, one of the reasons the WHOSTP created the initial Blueprint for the “AI Bill of Rights” was due to the prominence of bias in AI products. Bias has been one of the leading topics related to AI in recent years. Some view bias as overhyped, with ML practitioners capable of implementing best practices to mitigate it, while others think it is a problem that will continue to plague AI systems. The latest survey reveals how ML practitioners are approaching bias. Over a quarter (27%) of ML practitioners surveyed believe that bias will never truly be removed from AI-enabled products. Of organizations surveyed, almost 2 in 5 (38%) have a designated point of contact or support team that is looking out for bias when planning the design and/or launch of an AI-enabled product. A third (33%) of respondents think reducing the risk of bias occurring is one of the main benefits of Explainable A.I, which might indicate this could be a solution (though not without its own challenges). Additional ML Challenges The state of the economy clearly weighed on respondents’ minds as they considered its impact on their business and how that could trickle down to affect investments in ML. They also identified other areas of stress or challenges they anticipate facing in 2023. All (100%) machine learning practitioners surveyed said the economic situation will impact their business. The most common way, according to respondents, will be redundancies in the tech team (40%), followed by an impact on budgets (37%) and a hiring freeze (36%). Almost a third (32%) say innovation will slow as a result. Over the next year, ML practitioners surveyed anticipate the biggest to be sustainability (41%), followed by retention (39%), hiring staff with correct institutional knowledge (36%) and Explainable A.I (36%). The complete survey can be found here. State of MLOps Industry Report | 2023 Machine Learning Practitioner Survey Methodology The research was conducted by Censuswide with 503 US 18+ (Machine Learning Practitioners) between 20.12.22 – 29.12.22. Censuswide abide by and employ members of the Market Research Society which is based on the ESOMAR principles and are members of The British Polling Council. previous post