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== Introduction ==

== Introduction ==

[[File:5gp.png|thumb|426x426px|alt=|'''Figure 1: Five main guiding principles for Responsible AI''']]Unlike traditional automated decision systems, ML-based automated decision systems do not follow explicit rules authored by humans <ref>V. Fomins, "The Shift from Traditional Computing Systems to  Artificial Intelligence and the Implications for Bias," ''Smart  Technologies and Fundamental Rights,'' pp. 316-333, 2020.</ref>. ML models are not inherently objective. Data scientists train models by feeding them a data set of training examples, and the human involvement in the provision and curation of this data can make a model's predictions susceptible to bias. Due to this, applications of ML-based automated decision systems have far-reaching implications for society. These range from new questions about the legal responsibility for mistakes committed by these systems to retraining for workers displaced by these technologies. There is a need for a framework to ensure that accountable and transparent decisions are made, supporting ethical practices.

[[File:Data ethics themes.png|alt=|thumb|426x426px|'''Figure 1: DFO data ethics and responsible AI themes''']]

Unlike traditional automated decision systems, ML-based automated decision systems do not follow explicit rules authored by humans <ref>V. Fomins, "The Shift from Traditional Computing Systems to  Artificial Intelligence and the Implications for Bias," ''Smart  Technologies and Fundamental Rights,'' pp. 316-333, 2020.</ref>. ML models are not inherently objective. Data scientists train models by feeding them a data set of training examples, and the human involvement in the provision and curation of this data can make a model's predictions susceptible to bias. Due to this, applications of ML-based automated decision systems have far-reaching implications for society. These range from new questions about the legal responsibility for mistakes committed by these systems to retraining for workers displaced by these technologies. There is a need for a framework to ensure that accountable and transparent decisions are made, supporting ethical practices.

=== Responsible AI ===

=== Responsible AI ===