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1000 tulosta hakusanalla Francesca Mora

Moral and Political Worries in Artificial Intelligence

Moral and Political Worries in Artificial Intelligence

Jacopo Morelli; Daniel Piñeiro Rodriguez; Francesco Barzetta

TAYLOR FRANCIS LTD
2026
sidottu
On the one hand AI is hailed as a driver of unprecedented progress, with the potential to alleviate poverty, expand access to education, and improve healthcare outcomes, and on the other, critics highlight risks such as bias, surveillance, erosion of accountability, and even the possibility of autonomous systems escaping human control. Some argue that current AI systems are far less “intelligent” than the label suggests, lacking consciousness or intentionality, and are therefore better understood as powerful but limited tools. Others emphasize the dangers of delegating critical decisions to opaque algorithms, especially in domains such as justice, warfare, or mental health. These divergent perspectives point to a shared recognition: AI cannot be addressed solely as a technical matter but must be evaluated within moral, legal, and political frameworks. In this sense, the key questions are normative: What duties and responsibilities should guide the creation and deployment of AI systems? How can risks such as discrimination, loss of privacy, or democratic erosion be mitigated? And what forms of governance are required to ensure accountability? This book takes up these challenges by examining AI through an interdisciplinary lens, highlighting its promises, its dangers, and the ethical, legal, and political structures necessary to use it responsibly.
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Predictive Control for Linear and Hybrid Systems

Predictive Control for Linear and Hybrid Systems

Francesco Borrelli; Alberto Bemporad; Manfred Morari

Cambridge University Press
2017
sidottu
Model Predictive Control (MPC), the dominant advanced control approach in industry over the past twenty-five years, is presented comprehensively in this unique book. With a simple, unified approach, and with attention to real-time implementation, it covers predictive control theory including the stability, feasibility, and robustness of MPC controllers. The theory of explicit MPC, where the nonlinear optimal feedback controller can be calculated efficiently, is presented in the context of linear systems with linear constraints, switched linear systems, and, more generally, linear hybrid systems. Drawing upon years of practical experience and using numerous examples and illustrative applications, the authors discuss the techniques required to design predictive control laws, including algorithms for polyhedral manipulations, mathematical and multiparametric programming and how to validate the theoretical properties and to implement predictive control policies. The most important algorithms feature in an accompanying free online MATLAB toolbox, which allows easy access to sample solutions. Predictive Control for Linear and Hybrid Systems is an ideal reference for graduate, postgraduate and advanced control practitioners interested in theory and/or implementation aspects of predictive control.
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