How Futures Studies and Foresight Could Address Ethical Dilemmas of Machine Learning and Artificial Intelligence

Abstract

Drawing from ethical concerns raised by communities of machine learning developers and considering predictive analytics’ very short-term predictions, several futures studies techniques are examined to offer some insights about possible bridges between machine learning and foresight. This review develops three main sections: (1) a brief explanation of central concepts, such as big data, machine learning, and artificial intelligence, hopefully not too simplistic but readable for larger audiences; (2) a discussion about ethical issues, such as bias, discrimination, and dilemmas in research; and (3) a brief description of how futures studies could address ethical dilemmas derived from different time horizons among machine learning immediate results, forecasting short-term predictions, and foresight long-term scenarios.

Transfer Learning Method from Parameter Scene to Physical Scene Based on Self-Game Theory

“…From Go to Atari games to image recognition and language translation, neural networks have achieved tremendous success in various fields. However, it is often overlooked that the success of neural networks in a specific application often depends on a series of choices made at the beginning of the study, including the type of network and the data and methods used for training [17]. At present, these choices (called hyperparameters) are realized through experience, random search, or calculation-intensive search process.…”

Research on 3D Sampling and Monitoring of Power Supplies Based on Augmented Reality (AR) Technology

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Guest Editorial: On “Big Data, AI, and Futures Studies”

“…A recent one is the Apple Card algorithm that “seemed to offer smaller lines of credit to women than to men” (Knight 2019). These biases and ethical implications are discussed in Díaz-Domínguez (2020). This paper offers a different perspective about how futures studies can be used to visualize desirable futures for AI and Big Data that could be applicable across disciplines identifying opportunities and risks.…”

“…Yes, there is great potential in AI and Big Data, but also there are vulnerabilities that have to be addressed. Futures Studies and Strategic Foresight could be a useful vehicle to do that as Díaz-Domínguez (2020) analyses in his paper titled, “How Futures Studies and Foresight could address ethical dilemmas of Machine Learning and Artificial Intelligence.”…”