PON Working Conference on AI, Technology, and Negotiation
On May 17th and 18th, 2020 the Program on Negotiation (PON) hosted a virtual working conference on AI, technology, and negotiation. The PON Working Conference on AI, Technology, and Negotiation was designed to:
- Convene scholars, teachers, and practitioners to share insights, experiences, tools, and their expectations for further developments.
- Inform PON and its affiliates regarding opportunities for field research and development of computer-based apps and exercises for teaching.
- Generate material for a special issue of the Negotiation Journal and foster on-going collaboration.
The conference was in the works for more than a year prior, but in the midst of the global pandemic, remote engagement has become all the more salient on many levels—in business, the marketplace, governance, education, and in our communities. In the field of negotiation, emerging technology holds the promise of promoting creative problem solving, but with it the possible risk of subverting privacy and amplifying inequities.
The PON Working Conference on AI, Technology, and Negotiation was co-chaired by Michael Wheeler, Professor Emeritus of Management Practice at Harvard Business School, and James Sebenius, Gordon Donaldson Professor of Business Administration at the Harvard Business School and Vice Chair for Practice-Focused Research of the Program on Negotiation Executive Committee.
To view videos from the conference, as well as session descriptions and speakers biographies, please click here to visit the PON Working Conference on AI, Technology, and Negotiation website.
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I just wanted to emphasise our significant work on AI technology and Negotiation as shown in:
1. Lodder, A. and Zeleznikow, J. 2010. Enhanced Dispute Resolution through the use of Information Technology. Cambridge University Press, Cambridge, United Kingdom.
2. Bellucci, Emilia and John Zeleznikow: 2006, Developing Negotiation Decision Support Systems that support mediators: a case study of the Family_Winner system, Journal of Artificial Intelligence and Law, 13(2): 233-271.
3. Carneiro D., Novais P., Andrade F., Zeleznikow J., Neves J., 2014. Some Issues on Online Dispute Resolution and Artificial Intelligence. Artificial Intelligence Review, 41(2): 211-240.
4. Ebner, N. and Zeleznikow, J. 2015. Fairness, Trust and Security in Online Dispute Resolution, Hamline University’s School of Law’s Journal of Public Law and Policy: Vol. 36: Iss. 2, Article 6. Available at: http://digitalcommons.hamline.edu/jplp/vol36/iss2/6
5. Ebner, N. and Zeleznikow, J. 2016, No Sheriff in Town: Governance for the ODR Field. Negotiation Journal 32(4):297-323
6. Lodder, A. and Zeleznikow, J. 2005. Developing an Online Dispute Resolution Environment: Dialogue Tools and Negotiation Systems in a Three Step Model. The Harvard Negotiation Law Review. Vol. 10:287-338.
7. Mackenzie, G., Vincent, A, Zeleznikow, J. 2015. Negotiating about charges and pleas – balancing interests and justice. Group Decision and Negotiation 24(4), pp 577-594
8. Zeleznikow, J. 2014. Comparing the Israel – Palestinian dispute to Australian Family Mediation. Group Decision and Negotiation Journal. 23(6):1301–1317.
9. Zeleznikow, J., 2017. Can Artificial Intelligence and Online Dispute Resolution enhance efficiency and effectiveness in Courts. International Journal for Court Administration, 8(2).
10. Zeleznikow, J. 2020. Using Artificial Intelligence to provide user centric Intelligent Negotiation Support. To appear in Group Decision and Negotiation