Algorithm as a Subject-Matter of Negotiation & Re-introducing the Indian Society of Artificial Intelligence and Law
From Abhivardhan, our Chairperson
This is a post authored by Abhivardhan, our Chairperson.
The question of whether #machinelearning algorithms can dominate negotiations is a complex one that deserves careful consideration.
While it may be tempting to dismiss such inquiries as insincere or poorly conceived, especially when they originate from potentially unreliable sources like LinkedIn collaborative articles, it is important to engage with the underlying issues in a thoughtful and nuanced way.
There are several key factors to consider when assessing the potential for machine learning algorithms to dominate negotiations. First and foremost, the strategic value of the algorithms themselves must be taken into account.
If the algorithms possess advanced processing capabilities and sophisticated computational features that are well-suited to the specific demands of the negotiation process, then they may indeed have a significant advantage over human negotiators.
However, it is important to recognize that data alone is not sufficient to ensure the dominance of machine learning algorithms in negotiations. While data is often referred to as the "new oil" in the context of AI and machine learning, the reality is that most cutting-edge algorithms are proprietary and closely guarded by the companies and institutions that develop them.
Even in cases where algorithms are based on open-source licenses, the extent to which they are truly open-ended and accessible may itself be a matter of negotiation.
Furthermore, it is unclear whether abstract ethical considerations related to AI will play a direct role in shaping the use of machine learning algorithms in corporate or commercial negotiations. While there are certainly basic elements of trust and cooperation that are essential to any successful negotiation, the specific ways in which these factors interact with the use of AI and machine learning may vary widely depending on the context and the parties involved.
Ultimately, while the question of whether machine learning algorithms can dominate negotiations is an important one, it is also a complex and multifaceted issue that requires ongoing research, analysis, and discussion.
This is precisely why organizations like the Indian Society of Artificial Intelligence and Law, are so essential.
As an industry forum that has been active since 2019, ISAIL has consistently produced high-quality research and knowledge outputs related to AI and law from an Indian perspective.
One of ISAIL's most notable achievements to date has been the publication of the 2020 Handbook on AI and International Law, which was recently recognized as an AI initiative from India by the Council of Europe.
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