Humans and robot to debate the future of AI

  • November 19, 2019
Humans and robot to debate the future of AI

Debate veteran Sharmila Parmanand will take part in a live experiment this week when she debates against a robot.

As an experienced debater, I am familiar with my own limitations in terms of my ability to curate my knowledge sources and process huge volumes of data. In this regard, the potential contribution of a thinking machine is huge.

Sharmila Parmanand

A Gates Cambridge Scholar will be one of a number of humans who will debate against a robot at the Cambridge Union in a live experiment this week.

Sharmila Parmanand, an international debate coach, will take part in the debate on 21st November, entitled "Artificial Intelligence will bring more harm than good in the next decade”.

She will debate against Project Debater [pictured], an AI-powered machine developed by IBM. 

Project Debater will deliver the opening speeches for both sides of the debate and the humans in both the for and against teams will develop these arguments further and respond to each other. 

Sharmila will be speaking for the Proposition along with Professor Neil Lawrence, DeepMind Professor of Machine Learning at the University of Cambridge and the co-host of the Talking Machines podcast. 

Speaking against the motion are Professor Sylvie Delacroix, a Law and Ethics at the University of Birmingham and a member of the Public Policy Commission on the use of algorithms in the justice system, and Harish Natarajan, a champion debater and Head of Economic Risk Analysis at global tracking company AKE International in London.

At the heart of the experiment is the speech-by-crowd approach that will be taken by Project Debater. The machine will be collecting arguments from the audience, validating their quality, clustering them and presenting them in an organised and coherent fashion. 

Sharmila says: "Considering the subjective nature of debating (unlike math equations or say, chess, which has clearer score functions), it is exciting to see how well the machine will synthesise arguments and engage with and deploy elements of persuasion such as humour and figures of speech. As an experienced debater, I am familiar with my own limitations in terms of my ability to curate my knowledge sources and process huge volumes of data. In this regard, the potential contribution of a thinking machine is huge. 

"The event aims to showcase what a discussion can look like when we combine professionals in a field, experts in critical thinking and technology powered by a mass audience." 

Sharmila [2016], who is doing a PhD in Multidisciplinary Gender Studies, says her team is likely to argue that the development of AI happens in a social and political context that makes regulation and public scrutiny difficult and where the most at-risk populations have the least access to political capital to advocate for themselves. She says this can lead to huge harms such as the entrenchment of problematic algorithms in criminal sentencing and predictive policing, mass-scale privacy violations and surveillance to suppress political dissent. She states: "By acknowledging these risks, we can contribute to the conversations on AI governance and the attempts to ensure the development of safe and beneficial AI."

*For more information about the event, click here.

 

Sharmila Parmanand

Sharmila Parmanand

  • Scholar
  • Philippines
  • 2016 PhD Multi-disciplin Gender Studies
  • Homerton College

Having lived in the Philippines, I am interested in how state policies and other interventions targeted at poor women interact with their lived realities. For my master’s thesis at the University of Melbourne, I conducted interviews with female microcredit borrowers to examine the traditional assumption that access to credit empowers women, especially mothers. After working in the anti-human trafficking sector for over two years, I would like to critically assess anti-trafficking discourses and policies in the Philippines. For my PhD in Gender Studies in Cambridge, I will examine the anti-trafficking ecosystem, and in particular, the policy-making process, the knowledge claims made about victims and women in vulnerable employment situations and how these claims are negotiated and produced, the relationships among international funders, the state, and civil society actors, and the effects on women of measures such as raids and rescue operations and rehabilitation. With my work, I hope to give primacy to the experiences of individuals directly affected by these interventions, explore any possible unintended consequences, and contribute to the ongoing conversation about how best to uphold their agency and human rights. I also work as a debating coach and trainer and I have done so on a voluntary basis in 28 countries.

Previous Education

University of Melbourne
Ateneo de Manila University

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