The subject disclosure relates to devices, systems, and methods for algorithmic transparency into algorithmic decision-making systems. In non-limiting aspects, the disclosed subject matter facilitates generating a set of intervention inputs for an algorithmic decision-making system, observing the outcomes of the algorithmic decision-making system, and determining Quantitative Input Influence (QII) measures for the algorithmic decision-making system, wherein the at least one QII measure describes degree of influence of inputs on outcomes of the algorithmic decision-making system. In further non-limiting aspects, the disclosed subject matter facilitates generating transparency reports related to the QII measures, including transparency reports, regarding inputs, regarding individuals, and regarding groups of individuals, while maintaining privacy. Further non-limiting embodiments are provided that illustrate the advantages and flexibility of the disclosed subject matter.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A system, comprising: a memory to store computer-executable components; and a processor communicatively coupled to the memory that facilitates execution of the computer-executable components, the computer-executable components, comprising: an input intervention component configured to generate a set of inputs for an algorithmic decision-making system, wherein the set of inputs comprise an input intervention distribution based on a distribution of inputs of a population analyzed by the algorithmic decision-making system; and an influence determination component configured to determine at least one Quantitative Input Influence (QII) measure for the algorithmic decision-making system, wherein the at least one QII measure describes degree of influence of at least a subset of the set of inputs on an outcome that represents a property of a behavior of the algorithmic decision-making system for the input intervention distribution. 2. The system of claim 1, wherein the at least one QII measure is associated with at least one of influence of individual inputs of the at least the subset of the set of inputs, influence of correlated inputs of the at least the subset of the set of inputs, joint influence of multiple inputs of the at least the subset of the set of inputs, or marginal influence of each of the multiple inputs of the at least the subset of the set of inputs. 3. The system of claim 1, further comprising: a reporting component configured to generate at least one transparency report related to the at least one QII measure, wherein the at least one transparency report is based on at least one transparency query associated with the at least one QII measure. 4. The system of claim 3, wherein the at least one transparency report is based on at least one transparency schema comprising the outcome, the input intervention distribution, a difference measure associated with a difference between the outcome and another quantity of interest that represents another property of another behavior of the algorithmic decision-making system, and an aggregation that combines the at least one QII measure with at least one other QII measure across different sets of inputs of the set of inputs. 5. The system of claim 3, further comprising: a privacy component configured to add a predetermined measure of noise to the at least the subset of the set of inputs based on sensitivity of the at least one QII measure to maintain privacy for the population analyzed by the algorithmic decision-making system in the at least one transparency report. 6. The system of claim 3, wherein the at least one transparency report comprises at least one of an input-based transparency report that is associated with the at least the subset of the set of inputs, an individual-based transparency report associated with an individual of the population analyzed by the algorithmic decision-making system, or a group-based transparency report associated with a group of individuals of the population analyzed by the algorithmic decision-making system, wherein each of the group of individuals are represented by the at least the subset of the set of inputs or the behavior of the algorithmic decision-making system. 7. The system of claim 6, further comprising: a query component configured to receive the at least one transparency query associated with the at least one QII measure and determine for the at least one transparency query at least one statistical property of the behavior of the algorithmic decision-making system, wherein the at least one statistical property comprises at least one of a probability of an outcome of the algorithmic decision-making system for the at least the subset of the set of inputs, a conditional probability of the outcome for the individual of the population, the conditional probability of the outcome for the group of individuals of the population, or a ratio of conditional probabilities for outcomes for two different groups of individuals of the population analyzed by the algorithmic decision-making system. 8. The system of claim 1, wherein the input intervention distribution is generated based on the distribution of inputs of the population analyzed by the algorithmic decision-making system and an aspect of a decision-making model associated with the algorithmic decision-making system for the distribution of inputs of the population analyzed by the algorithmic decision-making system. 9. The system of claim 1, further comprising: a sampler component configured to sample the distribution of inputs of the population analyzed by the algorithmic decision-making system to facilitate generating the set of inputs comprising the input intervention distribution. 10. The system of claim 1, further comprising: a communications component configured to at least one of transmit the set of inputs to the algorithmic decision-making system or receive information representative of the behavior of the algorithmic decision-making system for the input intervention distribution. 11. The system of claim 1, further comprising: an aggregation component configured to determine average marginal influence for the at least one QII measure using aggregation measures comprising at least one of a Shapley value, a Banzhaf index, or a Deegan-Packel index. 12. A method, comprising: generating a set of inputs for an algorithmic decision-making system, wherein the set of inputs comprise an input intervention distribution based on a distribution of inputs of a population analyzed by the algorithmic decision-making system; determining at least one Quantitative Input Influence (QII) measure for the algorithmic decision-making system, wherein the at least one QII measure describes degree of influence of at least a subset of the set of inputs on an outcome that represents a property of a behavior of the algorithmic decision-making system for the input intervention distribution; and generating at least one transparency report related to the at least one QII measure, wherein the at least one transparency report is based on at least one transparency query associated with the at least one QII measure. 13. The method of claim 12, wherein the determining the at least one at least one QII comprises determining the at least one QII that is associated with at least one of influence of individual inputs of the at least the subset of the set of inputs, influence of correlated inputs of the at least the subset of the set of inputs, joint influence of multiple inputs of the at least the subset of the set of inputs, or marginal influence of each of the multiple inputs of the at least the subset of the set of inputs. 14. The method of claim 12, wherein the generating the at least one transparency report comprises generating the at least one transparency report that is based on at least one transparency schema comprising the outcome, the input intervention distribution, a difference measure associated with a difference between the outcome and another quantity of interest that represents another property of another behavior of the algorithmic decision-making system, and an aggregation that combines the at least one QII measure with at least one other QII measure across different sets of inputs of the set of inputs. 15. The method of claim 12, further comprising: adding a predetermined measure of noise to the at least the subset of the set of inputs based on sensitivity of the at least one QII measure to maintain privacy for the population analyzed by the algorithmic decision-making system in the at least one transparency report. 16. The method of claim 12, wherein the generating the at least one transparency report comprises generating the at least one transparency report that comprises at least one of an input-based transparency report that is associated with the at least the subset of the set of inputs, an individual-based transparency report associated with an individual of the population analyzed by the algorithmic decision-making system, or a group-based transparency report associated with a group of individuals of the population analyzed by the algorithmic decision-making system, wherein each of the group of individuals are represented by the at least the subset of the set of inputs or the behavior of the algorithmic decision-making system. 17. The method of claim 16, further comprising: receiving the at least one transparency query associated with the at least one QII measure; and determining for the at least one transparency query at least one statistical property of the behavior of the algorithmic decision-making system, wherein the at least one statistical property comprises at least one of a probability of an outcome of the algorithmic decision-making system for the at least the subset of the set of inputs, a conditional probability of the outcome for the individual of the population, the conditional probability of the outcome for the group of individuals of the population, or a ratio of conditional probabilities for outcomes for two different groups of individuals of the population analyzed by the algorithmic decision-making system. 18. The method of claim 12, further comprising: sampling the distribution of inputs of the population analyzed by the algorithmic decision-making system to facilitate generating the set of inputs comprising the input intervention distribution. 19. The method of claim 12, further comprising: determining average marginal influence for the at least one QII measure using aggregation measures comprising at least one of a Shapley value, a Banzhaf index, or a Deegan-Packel index. 20. A tangible computer readable storage medium comprising computer-executable instructions that, in response to execution, cause a computing device including a processor to perform operations, comprising: generating a set of inputs for an algorithmic decision-making system, wherein the set of inputs comprise an input intervention distribution based on a distribution of inputs of a population analyzed by the algorithmic decision-making system; determining at least one Quantitative Input Influence (QII) measure for the algorithmic decision-making system, wherein the at least one QII measure describes degree of influence of at least a subset of the set of inputs on an outcome that represents a property of a behavior of the algorithmic decision-making system for the input intervention distribution; and generating at least one transparency report related to the at least one QII measure, wherein the at least one transparency report is based on at least one transparency query associated with the at least one QII measure. 21. The tangible computer readable storage medium of claim 20, the operations further comprising: determining the at least one QII that is associated with at least one of influence of individual inputs of the at least the subset of the set of inputs, influence of correlated inputs of the at least the subset of the set of inputs, joint influence of multiple inputs of the at least the subset of the set of inputs, or marginal influence of each of the multiple inputs of the at least the subset of the set of inputs. 22. The tangible computer readable storage medium of claim 20, the operations further comprising at least one of: generating the at least one transparency report based on at least one transparency schema comprising the outcome, the input intervention distribution, a difference measure associated with a difference between the outcome and another quantity of interest that represents another property of another behavior of the algorithmic decision-making system, and an aggregation that combines the at least one QII measure with at least one other QII measure across different sets of inputs of the set of inputs; adding a predetermined measure of noise to the at least the subset of the set of inputs based on sensitivity of the at least one QII measure to maintain privacy for the population analyzed by the algorithmic decision-making system in the at least one transparency report; or generating the at least one transparency report comprising at least one of an input-based transparency report that is associated with the at least the subset of the set of inputs, an individual-based transparency report associated with an individual of the population analyzed by the algorithmic decision-making system, or a group-based transparency report associated with a group of individuals of the population analyzed by the algorithmic decision-making system, wherein each of the group of individuals are represented by the at least the subset of the set of inputs or the behavior of the algorithmic decision-making system 23. The tangible computer readable storage medium of claim 20, the operations further comprising: receiving the at least one transparency query associated with the at least one QII measure; and determining for the at least one transparency query at least one statistical property of the behavior of the algorithmic decision-making system, wherein the at least one statistical property comprises at least one of a probability of an outcome of the algorithmic decision-making system for the at least the subset of the set of inputs, a conditional probability of the outcome for the individual of the population, the conditional probability of the outcome for the group of individuals of the population, or a ratio of conditional probabilities for outcomes for two different groups of individuals of the population analyzed by the algorithmic decision-making system. 24. The tangible computer readable storage medium of claim 20, the operations further comprising: sampling the distribution of inputs of the population analyzed by the algorithmic decision-making system to facilitate generating the set of inputs comprising the input intervention distribution. 25. The tangible computer readable storage medium of claim 20, the operations further comprising: determining average marginal influence for the at least one QII measure using aggregation measures comprising at least one of a Shapley value, a Banzhaf index, or a Deegan-Packel index. 26. The tangible computer readable storage medium of claim 20, the operations further comprising: transmitting the set of inputs to the algorithmic decision-making system; and receiving information representative of the behavior of the algorithmic decision-making system for the input intervention distribution.