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• Article | Harvard Business Review (website)

  The Case for AI Insurance

  Ram Shankar Siva Kumar and Frank Nagle

  When organizations place machine learning systems at the center of their businesses, they introduce the risk of failures that could lead to a data breach, brand damage, property damage, business interruption, and in some cases, bodily harm. Even when companies are empowered to address AI failure modes, it is important to recognize that it is harder to be the defender than the attacker since the former needs to guard against all possible scenarios, while the latter only needs to find a single weakness to exploit. Enter AI insurance. The authors believe that businesses can expect stringent requirements when AI insurance is introduced to limit the insurance provider’s liability with rates cooling off as the AI insurance market matures. They offer a guide on preparing for the introduction of these insurance plans.

  Keywords: artificial intelligence; Machine learning; Insurance; cybersecurity;

  Citation:

  Kumar, Ram Shankar Siva, and Frank Nagle. "The Case for AI Insurance." Harvard Business Review (website) (April 29, 2020).  View Details

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• White Paper | 2020

  Vulnerabilities in the Core: Preliminary Report and Census II of Open Source Software

  Frank Nagle, Jessica Wilkerson, James Dana and Jennifer L. Hoffman

  Citation:

  Nagle, Frank, Jessica Wilkerson, James Dana, and Jennifer L. Hoffman. "Vulnerabilities in the Core: Preliminary Report and Census II of Open Source Software." White Paper, February 2020.  View Details

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• Working Paper | 2019

  The Impact of Professionals' Contributions to Online Knowledge Communities on Their Workplace Knowledge Work

  Hila Lifshitz - Assaf and Frank Nagle

  Knowledge work is becoming increasingly challenging as pace of change in the knowledge frontier is increasing. Organizations have created multiple mechanisms to minimize knowledge gaps and increase learning such internal training, mentorship programs as well as encouraging their professionals to exchange knowledge outside the boundaries of the organization. Reaching outside the organizational boundaries for knowledge exchange has changed dramatically in the last decade with the rise of online professionals communities. In the case of computer science and software engineering it has become a norm to learn and as questions that used to be kept within the boundaries of the organizations, externally, with a community of external professionals help answer and learn. It is less clear whether contributing to such online communities helps improve professionals’ knowledge work or becomes a competing or distracting force from their work place knowledge work. This is the empiric puzzle our study has set to explore. We conducted a mixed method study combining qualitative data from more than 100 interviews with software professionals with a unique quantitative dataset measuring software professionals’ code productivity in their workplace by the hour/every week for one to two years.

  Keywords: open source; future of work; software development; knowledge work; online community; Learning; Knowledge Sharing; Software; Open Source Distribution; Performance Productivity;

  Citation:

  Lifshitz - Assaf, Hila, and Frank Nagle. "The Impact of Professionals' Contributions to Online Knowledge Communities on Their Workplace Knowledge Work." Working Paper, April 2019.  View Details

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