Governance of IoT Data: Why the EU Data Act Will not Fulfill Its Objectives
نویسندگان
چکیده
Abstract The EU Data Act proposal (DA) seeks to introduce new rights for the users of internet things (IoT) devices regarding access, use and sharing data generated through their these devices. This paper presents results a first analysis effectiveness this ‘user rights’ mechanism from ‘law economics’ perspective. It concludes that DA will not achieve its objectives (a) empowering IoT (especially consumers), (b) unlocking large amounts innovation (for IoT-related services across sectors), (c) contributing fair value data. Although correctly identifies main problem arising manufacturers’ technical design devices, which grants them exclusive de facto control over data, proposals solving it are close being sufficient: (1) proposed user suffers manifold serious problems make weak largely ineffective (insufficient scope data; lacking interoperability; high transaction costs, especially need negotiated contract with FRAND conditions; unclarity markets). (2) Also, option gain more operates requirement holders can only on basis users, work due unsolved market failure in B2C situations. Therefore, all end up (and leave consumers rights). reason negative assessment is overemphasis protection position holders. However, very doubtful whether case whose price cover costs generation, any general incentive investing data-generating exists. far-reaching rebalancing favor easier increased empowerment necessary, enabling economy.
منابع مشابه
Can Big Data Fulfill Its Promise?
Big data analytics are widely touted as a key innovation to improve health care. Although the term big data is variably defined, it generally implies the application of advanced statistical analyses, with names such as machine learning, artificial intelligence, or cognitive computing, to data sources that greatly exceed the size and complexity of databases traditionally used for healthcare anal...
متن کاملthe clustering and classification data mining techniques in insurance fraud detection:the case of iranian car insurance
با توجه به گسترش روز افزون تقلب در حوزه بیمه به خصوص در بخش بیمه اتومبیل و تبعات منفی آن برای شرکت های بیمه، به کارگیری روش های مناسب و کارآمد به منظور شناسایی و کشف تقلب در این حوزه امری ضروری است. درک الگوی موجود در داده های مربوط به مطالبات گزارش شده گذشته می تواند در کشف واقعی یا غیرواقعی بودن ادعای خسارت، مفید باشد. یکی از متداول ترین و پرکاربردترین راه های کشف الگوی داده ها استفاده از ر...
a study on insurer solvency by panel data model: the case of iranian insurance market
the aim of this thesis is an approach for assessing insurer’s solvency for iranian insurance companies. we use of economic data with both time series and cross-sectional variation, thus by using the panel data model will survey the insurer solvency.
data mining rules and classification methods in insurance: the case of collision insurance
assigning premium to the insurance contract in iran mostly has based on some old rules have been authorized by government, in such a situation predicting premium by analyzing database and it’s characteristics will be definitely such a big mistake. therefore the most beneficial information one can gathered from these data is the amount of loss happens during one contract to predicting insurance ...
15 صفحه اولذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: GRUR international
سال: 2022
ISSN: ['2632-8550', '2632-8623']
DOI: https://doi.org/10.1093/grurint/ikac107