ΑΙhub.org
 

The Machine Ethics podcast: responsible AI research with Madhulika Srikumar


by
14 September 2021



share this:

Madhulika Srikumar
Hosted by Ben Byford, The Machine Ethics Podcast brings together interviews with academics, authors, business leaders, designers and engineers on the subject of autonomous algorithms, artificial intelligence, machine learning, and technology’s impact on society.

AI regulation

This time we’re talking AI research with Madhulika Srikumar of Partnership on AI. We chat about managing the risks of AI research, how the AI community should think about the consequences of their research, documenting best practises for AI, OpenAI’s GTP2 research disclosure example, considering unintended consequences & negative downstream outcomes, considering what your research may actually contribute, promoting scientific openness, proportional ethical reflection, research social impact assessments and more…

Listen to the episode here:

Madhulika Srikumar is a program lead at the Safety-Critical AI initiative at Partnership on AI, a multistakeholder non-profit shaping the future of responsible AI. Core areas of her current focus include community engagement on responsible publication norms in AI research and diversity and inclusion in AI teams. Madhu is a lawyer by training and completed her graduate studies (LL.M) at Harvard Law School.

Managing the Risks of AI Research: Six Recommendations for Responsible Publication.


About The Machine Ethics podcast

This podcast was created, and is run by, Ben Byford and collaborators. Over the last few years the podcast has grown into a place of discussion and dissemination of important ideas, not only in AI but in tech ethics generally.

The goal is to promote debate concerning technology and society, and to foster the production of technology (and in particular: decision making algorithms) that promote human ideals.

Ben Byford is a AI ethics consultant, code, design and data science teacher, freelance games designer with over 10 years of design and coding experience building websites, apps, and games. In 2015 he began talking on AI ethics and started the Machine Ethics podcast. Since then, Ben has talked with academics, developers, doctors, novelists and designers about AI, automation and society.

Join in the conversation with us by getting in touch via email here or following us on Twitter and Instagram.



tags: ,


The Machine Ethics Podcast

            AUAI is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

Congratulations to the #IJCAI2026 award winners

  07 Aug 2026
The winners of three prestigious IJCAI awards for 2026 have been announced.

The Machine Ethics podcast: Safe and moral AI with Rebecca Raper

In this episode Ben chats with Rebecca about AI governance and guardrails, moral assurance, under-specification problems, lack of interdisciplinary work in robotics, and more.

CogTwin: A framework for adaptable digital twins

  05 Aug 2026
Find out more about work presented at IJCAI 2025 on Cognitive Digital Twins.

Forthcoming machine learning and AI seminars: August 2026 edition

  04 Aug 2026
A list of free-to-attend AI-related seminars that are scheduled to take place in the next couple of months.

Healthcare benchmarks are only as good as their assumptions

  03 Aug 2026
In healthcare settings where patients use LLMs as a medical assistant, LLM performance differs between evaluation and deployment.

Engineering Out Loud: S13E2 – Ethics in AI presentation

  31 Jul 2026
Hear from Oregon State University researchers Houssam Abbas and Alicia Patterson.

Humans trained to spot AI faces in the battle against deepfake fraud

Researchers trained people to spot AI-generated faces by drawing their attention to six perceptual qualities.
monthly digest

AIhub monthly digest: July 2026 – time-series anomaly detection, music generation, and RoboCup in action

  29 Jul 2026
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.



AUAI is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence