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2021

Other Outputs

Scaling AI to generate better and different outcomes

Wixom, Barbara H., Someh, Ida A. and Gregory, Robert W. (2021). Scaling AI to generate better and different outcomes. MIT CISR Research Briefing Cambridge, MA, United States: Massachusetts Institute of Technology.

Scaling AI to generate better and different outcomes

2021

Journal Article

Algorithmic decision-making and system destructiveness: a case of automatic debt recovery

Rinta-Kahila, Tapani, Someh, Ida, Gillespie, Nicole, Indulska, Marta and Gregor, Shirley (2021). Algorithmic decision-making and system destructiveness: a case of automatic debt recovery. European Journal of Information Systems, 31 (3), 1-26. doi: 10.1080/0960085X.2021.1960905

Algorithmic decision-making and system destructiveness: a case of automatic debt recovery

2021

Conference Publication

Value creation from data - Why is this a BPM problem?

Sadiq, Shazia, Someh, Ida Asadi, Chen, Tianwa and Indulska, Marta (2021). Value creation from data - Why is this a BPM problem?. International Workshop on BPM Problems to Solve Before We Die (PROBLEMS 2021) co-located with the 19th International Conference on Business Process Management (BPM 2021), Rome, Italy, 6-10 September, 2021. Aachen, Germany: Rheinisch-Westfaelische Technische Hochschule Aachen.

Value creation from data - Why is this a BPM problem?

2021

Journal Article

Putting dignity at the core of employee data use

Leidner, Dorothy, Tona, Olgerta, Wixom, Barb and Someh, Ida (2021). Putting dignity at the core of employee data use. MIT Sloan Management Review, 1-5.

Putting dignity at the core of employee data use

2021

Other Outputs

Make dignity core to employee data use

Tona, Olgerta, Leidner, Dorothy, Ionescu, Ramona, Wixom, Barbara and Someh, Ida (2021). Make dignity core to employee data use. MIT CISR Research Briefing Boston, MA, United States: MIT .

Make dignity core to employee data use

2021

Other Outputs

Building explainability into public sector artificial intelligence: helping stakeholders understand the thinking behind AI decision-making

Rinta-Kahila, Tapani, Someh, Ida, Indulska, Marta, Ryan, Ian and van Leent, Ryan (2021). Building explainability into public sector artificial intelligence: helping stakeholders understand the thinking behind AI decision-making. SAP Thought Leadership Paper: Public Sector Brisbane, Australia: The University of Queensland; SAP SE.

Building explainability into public sector artificial intelligence: helping stakeholders understand the thinking behind AI decision-making

2021

Conference Publication

A review of trust in artificial intelligence: challenges, vulnerabilities and future directions

Lockey, Steven, Gillespie, Nicole, Holm, Daniel and Someh, Ida Asadi (2021). A review of trust in artificial intelligence: challenges, vulnerabilities and future directions. Hawaii International Conference on System Sciences , Honolulu, HI, United States, 4-8 January 2021. Honolulu, HI, United States: Hawaii International Conference on System Sciences. doi: 10.24251/hicss.2021.664

A review of trust in artificial intelligence: challenges, vulnerabilities and future directions

2020

Other Outputs

AI alignment: a new management paradigm

Wixom, Barbara, Someh, Ida and Gregory, Robert (2020). AI alignment: a new management paradigm. Research Briefing Cambridge, MA, United States: MIT Sloan School of Management, Centre for Information Systems Research (CISR).

AI alignment: a new management paradigm

2020

Other Outputs

Satellogic: Moving from AI Solutions to AI Products

Wixom, Barbara H., Leidner, Dorothy E., Ionescu, Ramona M. and Someh, Ida A. (2020). Satellogic: Moving from AI Solutions to AI Products. MIT CISR Working Paper: Case Study Cambridge, MA, United States: Massachusetts Institute of Technology Center for Information Systems Research (CISR).

Satellogic: Moving from AI Solutions to AI Products

2020

Other Outputs

GE’s Environment, Health, and Safety team creates value using machine learning

Wixom, Barbara H., Someh, Ida A. and Beath, Cynthia M. (2020). GE’s Environment, Health, and Safety team creates value using machine learning. MIT CISR Working Paper: Case Study Cambridge, MA, United States: Massachusetts Institute of Technology Center for Information Systems Research (CISR).

GE’s Environment, Health, and Safety team creates value using machine learning

2020

Other Outputs

The Australian Taxation Office: creating value with advanced analytics

Someh, Ida A., Wixom, Barbara H. and Gregory, Robert W. (2020). The Australian Taxation Office: creating value with advanced analytics. MIT CISR Working Paper: Case Study Cambridge, MA, United States: Massachusetts Institute of Technology Center for Information Systems Research (CISR).

The Australian Taxation Office: creating value with advanced analytics

2020

Other Outputs

Delivering AI programs in the public sector: guidelines for government leaders

Rinta-Kahila, Tapani, Someh, Ida, Gillespie, Nicole, Indulska, Marta, Gregor, Shirley , Van Leent, Ryan and Ryan, Ian (2020). Delivering AI programs in the public sector: guidelines for government leaders. Brisbane, Australia: The University of Queensland and SAP SE.

Delivering AI programs in the public sector: guidelines for government leaders

2020

Other Outputs

Explanation: a new enterprise data monetization capability for AI

Wixom, Barbara, Someh, Ida, Zutavern, Angela and Beath, Cynthia M. (2020). Explanation: a new enterprise data monetization capability for AI. CISR Working Paper. WP NO. 443. Center for Information Systems Research (CISR), Massachusetts Institute of Technology.

Explanation: a new enterprise data monetization capability for AI

2020

Journal Article

Explanations as discourse : towards ethical big data analytics services

Afrashteh, Sadaf, Someh, Ida and Davern, Michael (2020). Explanations as discourse : towards ethical big data analytics services. Australasian Journal of Information Systems, 24 2519. doi: 10.3127/ajis.v24i0.2519

Explanations as discourse : towards ethical big data analytics services

2020

Conference Publication

Enhancing fairness in algorithmic decision-making through perspective taking

Afrashteh, Sadaf, Davern, Michael and Someh, Ida Asadi (2020). Enhancing fairness in algorithmic decision-making through perspective taking. European Conference on Information Systems (ECIS), Marrakech, Morocco, 15 June 2020.

Enhancing fairness in algorithmic decision-making through perspective taking

2020

Conference Publication

Overcoming organizational obstacles to artificial intelligence value creation: propositions for research

Someh, Ida, Wixom, Barbara and Zutavern, Angela (2020). Overcoming organizational obstacles to artificial intelligence value creation: propositions for research. Hawaii International Conference on System Sciences, Maui, HI, United States, 7-10 January 2020. Hawaii International Conference on System Sciences. doi: 10.24251/hicss.2020.712

Overcoming organizational obstacles to artificial intelligence value creation: propositions for research

2019

Journal Article

New service-based business model requires new analytics

Someh, Ida and Wixom, Barbara (2019). New service-based business model requires new analytics. Business Intelligence Journal, 24 (1), 12-19.

New service-based business model requires new analytics

2019

Journal Article

BBVA’s data monetization journey

Alfaro, Elena, Bressan, Marco, Girardin, Fabien, Murillo, Juan, Someh, Ida and H. Wixom, Barbara (2019). BBVA’s data monetization journey. MIS Quarterly Executive, 18 (2), 117-128. doi: 10.17705/2msqe.00011

BBVA’s data monetization journey

2019

Journal Article

Ethical issues in big data analytics: A stakeholder perspective

Someh, Ida, Davern, Michael, Breidbach, Christoph F. and Shanks, Graeme (2019). Ethical issues in big data analytics: A stakeholder perspective. Communications of the Association for Information Systems, 44 (1) 34, 718-747. doi: 10.17705/1cais.04434

Ethical issues in big data analytics: A stakeholder perspective

2019

Journal Article

Reconceptualizing synergy to explain the value of business analytics systems

Someh, Ida, Shanks, Graeme and Davern, Michael (2019). Reconceptualizing synergy to explain the value of business analytics systems. Journal of Information Technology, 34 (4), 371-391. doi: 10.1177/0268396218816210

Reconceptualizing synergy to explain the value of business analytics systems