ATGO AI | Accountability, Trust, Governance and Oversight of Artificial Intelligence |

OPENBOX aims at bringing an easier understanding of open problems that helps in finding solutions for such problems. For the said purpose, I interview researchers and practitioners who have published works on open problems in a variety of areas of Artificial Intelligence and Machine Learning to collect a simplified understanding of these open problems. These are published as podcast series.

I spoke with Heidi Saas

Heidi is a Data Privacy and Technology Attorney. She regularly advise SMEs and start ups working in a wide variety of industries, on data privacy and ethical AI strategies. She is also a ForHumanity Contributor and algorithmic auditor.

This is part 2. She is speaking about how enterprises can manage the challenges by good governance practices .

OPENBOX aims at bringing an easier understanding of open problems that helps in finding solutions for such problems. For the said purpose, I interview researchers and practitioners who have published works on open problems in a variety of areas of Artificial Intelligence and Machine Learning to collect a simplified understanding of these open problems. These are published as podcast series. 

I spoke with Heidi Saas Heidi is a Data Privacy and Technology Attorney. She regularly advise SMEs and start ups working in a wide variety of industries, on data privacy and ethical AI strategies. She is also a ForHumanity Contributor and algorithmic auditor.

This is part 1. She is speaking about how regulations are emerging in the context of data brokers and how enterprises need to adopt to the changing compliance environment in managing data.

OPENBOX aims to bring an easier understanding of open problems that helps in finding solutions for such problems. For the said purpose, I interview researchers and practitioners who have published works on open problems in a variety of areas of Artificial Intelligence and Machine Learning to collect a simplified understanding of these open problems. These are published as podcast series

Today, we have with us Marie. Marie Potel-Saville is the founder and CEO of amurabi, a legal innovation by design agency. She was a lawyer for over 10 years at Magic Circle law firms such as Freshfields and Allen & Overy in London, Brussels and Paris. She is also the founder of Fair-Patterns, a SAAS platform to fight against dark patterns. She is spearheading efforts towards addressing the challenging problem of deceptive designs in applications using innovative technology. We are going to be discussing some nuances with her on this.

In this episode, Marie speaks about the enterprise approaches in working on fair patterns and the emerging regulatory interests in addressing the gap.

OPENBOX aims to bring an easier understanding of open problems that helps in finding solutions for such problems. For the said purpose, I interview researchers and practitioners who have published works on open problems in a variety of areas of Artificial Intelligence and Machine Learning to collect a simplified understanding of these open problems. These are published as podcast series

Today, we have with us Marie. Marie Potel-Saville is the founder and CEO of amurabi, a legal innovation by design agency. She was a lawyer for over 10 years at Magic Circle law firms such as Freshfields and Allen & Overy in London, Brussels and Paris. She is also the founder of Fair-Patterns, a SAAS platform to fight against dark patterns. She is spearheading efforts towards addressing the challenging problem of deceptive designs in applications using innovative technology. We are going to be discussing some nuances with her on this. 

In this episode, Marie speaks about the key considerations in dealing with the deceptive designs and how fair patterns enable a better business proposition

OPENBOX aims at bringing an easier understanding of open problems that helps in finding solutions for such problems. For the said purpose, I interview researchers and practitioners who have published works on open problems in a variety of areas of Artificial Intelligence and Machine Learning to collect a simplified understanding of these open problems. These are published as podcast series. 

Today, we have with us Patrick Hall. Patrick is a Assistant Professor at George Washington University. He is conducting research in support of the NIST AI Risk Management Framework and a contributor to NIST work on building a Standard for Identifying and Managing Bias in Artificial Intelligence. He is also the collaborator running the open-source initiative called “Awesome Machine Learning Interpretability” which maintains and curates a list of practical and awesome responsible machine learning resources. He is also one of the authors of Machine Learning for High Risk Applications released by O’reilly. He is also managing the AI incident Database.

This is part 2 of the episode

He spoke about key approaches for bias mitigation and the limitations therein. He also discusses the open problems in this area.

OPENBOX aims at bringing an easier understanding of open problems that helps in finding solutions for such problems. For the said purpose, I interview researchers and practitioners who have published works on open problems in a variety of areas of Artificial Intelligence and Machine Learning to collect a simplified understanding of these open problems. These are published as podcast series. 

Today, we have with us Patrick Hall. Patrick is a Assistant Professor at George Washington University. He is conducting research in support of the NIST AI Risk Management Framework and a contributor to NIST work on building a Standard for Identifying and Managing Bias in Artificial Intelligence. He is also the collaborator running the open-source initiative called “Awesome Machine Learning Interpretability” which maintains and curates a list of practical and awesome responsible machine learning resources. He is also one of the authors of Machine Learning for High Risk Applications released by O’reilly. He is also managing the AI incident Database.

He spoke about key considerations for metrics regarding bias for varied types of data. He also discusses the open problems in this area.

OPENBOX aims at bringing an easier understanding of open problems that helps in finding solutions for such problems. For the said purpose, I interview researchers and practitioners who have published works on open problems in various areas of Artificial Intelligence and Machine Learning to collect a simplified understanding of these open problems. These are published as podcast series.

Ideas emerge when curiosity meets clarity. Here we go with OPENBOX to bring clarity to those curious minds looking to solve real-world problems. This project is done in collaboration with ForHumanity. ForHumanity is a 501(c)(3) nonprofit organization dedicated to minimizing the downside risks of AI and autonomous systems. ForHumanity develops criteria for an independent audit of AI systems. To know more, visit https://forhumanity.center/. 

Today, we have Raghu with us. Raghu is a Ph.D. student at the Machine Learning Group at the Univerity of Freiburg, under the supervision of Frank Hutter. He is working on automating hyperparameter optimization for RL, AutoRL. His master's thesis was on Reinforcement learning. Artificial General Intelligence is an area of interest to him in the long term. He is also exploring Dynamic Algorithm configuration (Controlling hyperparameter dynamically). We will cover a paper titled “Automated Reinforcement Learning (AutoRL): A Survey and Open Problems” published in June 2022, which he co-authored. 

This is part 3 of the discussion. In this part, he covers the open issues in hyper parameter optimization using the Environmental design, Hybrid approaches and Benchmarks.

OPENBOX aims at bringing an easier understanding of open problems that helps in finding solutions for such problems. For the said purpose, I interview researchers and practitioners who have published works on open problems in various areas of Artificial Intelligence and Machine Learning to collect a simplified understanding of these open problems. These are published as podcast series.

Ideas emerge when curiosity meets clarity. Here we go with OPENBOX to bring clarity to those curious minds looking to solve real-world problems. 

This project is done in collaboration with ForHumanity. ForHumanity is a 501(c)(3) nonprofit organization dedicated to minimizing the downside risks of AI and autonomous systems. ForHumanity develops criteria for an independent audit of AI systems. To know more, visit https://forhumanity.center/. 

Today, we have Raghu with us. Raghu is a Ph.D. student at the Machine Learning Group at the Univerity of Freiburg, under the supervision of Frank Hutter. He is working on automating hyperparameter optimization for RL, AutoRL. His master's thesis was on Reinforcement learning. Artificial General Intelligence is an area of interest to him in the long term. He is also exploring Dynamic Algorithm configuration (Controlling hyperparameter dynamically). We will cover a paper titled “Automated Reinforcement Learning (AutoRL): A Survey and Open Problems” published in June 2022, which he co-authored. 

This is part 2 of the discussion. In this part, he covers the open issues in Evolutionary approaches, Meta gradient for online tuning and Blackbox online tuning.

OPENBOX aims at bringing an easier understanding of open problems that helps in finding solutions for such problems. For the said purpose, I interview researchers and practitioners who have published works on open problems in various areas of Artificial Intelligence and Machine Learning to collect a simplified understanding of these open problems.

Today, we have with us paul. Paul is a PhD Student at Barcelona Neural Networking Center Technical University of Catalunya working on the use of ML to solve problems in communication networks. We are going to cover a paper titled “Towards Real-Time Routing Optimization with Deep Reinforcement Learning: Open Challenges ” published recently which he co-authored. In this podcast, he is covering aspects of (a) Training time and cost associated with Deep Reinforcement Learning and (b) lack of performance bounds. This is part 2 of the podcast

This project is in collaboration with ForHumanity. ForHumanity is a 501(c)(3) nonprofit organization with a mission to minimize the downside risks of AI and autonomous systems. ForHumanity develops criteria for an independent audit of AI systems. To know more, visit https://forhumanity.center/.

OPENBOX aims at bringing an easier understanding of open problems that helps in finding solutions for such problems. For the said purpose, I interview researchers and practitioners who have published works on open problems in various areas of Artificial Intelligence and Machine Learning to collect a simplified understanding of these open problems.

Today, we have with us paul. Paul is a PhD Student at Barcelona Neural Networking Center Technical University of Catalunya working on the use of ML to solve problems in communication networks. We are going to cover a paper titled “Towards Real-Time Routing Optimization with Deep Reinforcement Learning: Open Challenges ” published recently which he co-authored. In this podcast, he is covering aspects of (a) Generalization in Deep Reinforcement Learning and (b) Defining an appropriate action space. This is part 1 of the podcast

This project is in collaboration with ForHumanity. ForHumanity is a 501(c)(3) nonprofit organization with a mission to minimize the downside risks of AI and autonomous systems. ForHumanity develops criteria for an independent audit of AI systems. To know more, visit https://forhumanity.center/.

OPENBOX aims at bringing an easier understanding of open problems that helps in finding solutions for such problems. For the said purpose, I interview researchers and practitioners who have published works on open problems in various areas of Artificial Intelligence and Machine Learning to collect a simplified understanding of these open problems.

In this episode, Rafael Figueiredo Prudencio discusses open issues in Offline Reinforcement Learning. He covers aspects relating to (a) Approximation function and generalization and (b) leveraging unlabelled data. Conversation with Rafael is 2 part podcast series, and this podcast is part 2. Listen to the podcast to understand specific ethical issues arising from the open issues.

This project is in collaboration with ForHumanity. ForHumanity is a 501(c)(3) nonprofit organization with a mission to minimize the downside risks of AI and autonomous systems. ForHumanity develops criteria for an independent audit of AI systems. To know more, visit https://forhumanity.center/.

ATGO AI is a podcast channel from ForHumanity. This podcast will bring multiple series of insights on topics of pressing importance specifically in the space of Ethics and Accountability of emerging technology. You will hear from game changers in this field who have spearheaded accountability, transparency, governance and oversight in developing and deploying emerging technology (including Artificial Intelligence).

Joshua Bucheli is an international polyglot. He is based in Switzerland and has a background in event and project management as well as applied ethical research and critical-analysis. He is an independent researcher, writer, and editor with an MA in Political, Legal, and Economic Philosophy and has experience ranging from humanitarian fieldwork for the UNHCR in Malaysia to researching and editing for academic journal articles and Swiss think tanks on the subject of ethical AI and robotics. He is a former Head of Community Management at Let’s Phi and a freelance writer for cyberunity on the subject of careers in cybersecurity.

Joshua shares that he is working on a code of ethics in order to build an industry standard for ethics and AI. The draft EU AI regulations will help set a course - will there be a more human centered focus in regards to technological innovation? Taking a careful approach towards the ethical grey area is impactful. Pause is needed to evaluate and mitigate potential harm.

Visit us at https://forhumanity.center/ to learn more

ATGO AI is a podcast channel from ForHumanity. This podcast will bring multiple series of insights on topics of pressing importance specifically in the space of Ethics and Accountability of emerging technology. You will hear from game changers in this field who have spearheaded accountability, transparency, governance and oversight in developing and deploying emerging technology (including Artificial Intelligence).

Enrico Panai is a lecturer, information and data ethicist, and has worked for years in the AI space as. He is also the Chief Information Officer of ForHumanity. He is a founder of Be Ethical and helps lead AI ethics in France.

Enrico shares an analogy about games and rules for how there should be rules for #AI to develop an infrastructure of trust.  AI is challenging how we organize and categorize data. The EU is achieving two things with these regulations: it helps humanity to step towards a better world with these regulations and is also ensuring the geopolitical value and impact of the EU for AI. Enrico proposes a Chief Ethics Data Officer become a position at organizations. Third party auditors will lead to transparency.

Visit us at https://forhumanity.center/ to learn more

ATGO AI is a podcast channel from ForHumanity. This podcast will bring multiple series of insights on topics of pressing importance specifically in the space of Ethics and Accountability of emerging technology. You will hear from game changers in this field who have spearheaded accountability, transparency, governance and oversight in developing and deploying emerging technology (including Artificial Intelligence).

Tristi Tanaka who has worked for over 20 years in and with technologists to deliver organisational and functional change. She is always learning and using design thinking techniques to create, adapt and improve the way services are designed, delivered and evolve to meet the needs of users and teams in the workplace. She believes technology doesn’t deliver success, people do. She is a current ForHumanity fellow

Tristi states the EU is standing out to make a difference between a high risk and low risk case for AI and autonomous technology. She discusses issues of scale in regards to bias. She explores how one of the largest outcomes will be related to skills, compliance, and auditing of AI and autonomous technology.

Visit us at https://forhumanity.center/ to learn more

ATGO AI is a podcast channel from ForHumanity. This podcast will bring multiple series of insights on topics of pressing importance specifically in the space of Ethics and Accountability of emerging technology. You will hear from game changers in this field who have spearheaded accountability, transparency, governance and oversight in developing and deploying emerging technology (including Artificial Intelligence).

Ryan serves as ForHumanity’s Executive Director and Chairman of the Board of Directors, in these roles he is responsible for the day-to-day function of ForHumanity and the overall process of Independent Audit. He started this non-profit in 2016 with a mission to Managing AI risks for Humanity   Ryan has conducted business in over 55 countries and is a frequent speaker at industry conferences around the world on the topic of audit of AI systems. The ForHumanity mission is one of the largest and notable crowdsourced efforts on audit of AI system

In this episode Ryan shares ideas about how the regulations will be managed from a global perspective. He also discusses what the conformity assessments will look like and the questions around definitions about transparency and governance. AI audits involve certified practitioners, third party sets of rules, and regulations that govern a targetive organization, the auditors and the public.

Visit us at https://forhumanity.center/ to learn more

ATGO AI is a podcast channel from ForHumanity. This podcast will bring multiple series of insights on topics of pressing importance specifically in the space of Ethics and Accountability of emerging technology. You will hear from game changers in this field who have spearheaded accountability, transparency, governance and oversight in developing and deploying emerging technology (including Artificial Intelligence).

Sarah Clarke has two decades of experience in IT, information security, GDPR, and data protection. Also a guest lecturer in Vendor Security Governance for the University of Manchester and increasingly frequent speaker.She is also a ForHumanity fellow.

In this episode Sarah shares about five stages of grief in relation to auditing. Then she discusses operationalizing in order to work outwards regarding layers of uncertainty to get closer and closer to a place of certainty for the regulations. She believes in helping people to create space to have those rational conversations and improve the auditing of AI.

About the podcast

ATGO AI is a podcast channel from ForHumanity. This podcast will bring multiple series of insights on topics of pressing importance specifically in the space of Ethics and Accountability of emerging technology. You will hear from game changers in this field who have spearheaded accountability, transparency, governance and oversight in developing and deploying emerging technology (including Artificial Intelligence).

Rohan Light is a fellow with RSA and ForHumanity he works on data governance on DataWonks and focuses on strategy and risk regarding the decision management value chain.

In this episode Rohan shares about a rights based approach to the draft EU AI regulation. Regulations are much needed because AI and autonomous technology can be as dangerous as cars. He is glad to see that care is being taken for regulation and is looking forward to more tools being added for auditing. Overall, disruption can be associated with quality to audit AI.

Visit us at https://forhumanity.center/ to learn more

ATGO AI, a short form podcast from ForHumanity. This series is about the recent draft EU regulations for AI. The ForHumanity fellows, leading international experts on AI will be interviewed by international hosts, and the fellows will share their thoughts about the regulations.

The draft #EUAIRegs mandate classification of high risk AI and also require specific approaches to ensure that such AI systems do not harm people. This regulation has proposed a penalty of 6% of global revenues or Euro 30 million for violations.

Dorothea Baur is an independent consultant, speaker (incl. TedX), and lecturer on ethics, responsibility and sustainability. She has a specific focus on tech and finance. At the intersection of technology, society and the environment, companies are often confronted with ethical questions and she helps in aligning value with values. She is joining us from Switzerland.

In this episode Dorothea talks about her perspectives on EU AI regulations. Dorothea shares, the Eu regulations make ethics affordable - it refutes claims by companies who say we are forced to make these choices. We are democratizing AI. The EU regulation is brave, Dorothea hopes this enhances trust and that certain negative manipulations are not possible anymore when working with AI systems.

Visit us at https://forhumanity.center/ to learn more

ATGO AI, a short form podcast from ForHumanity. This series is about the recent draft EU regulations for AI. The ForHumanity fellows, leading international experts on AI will be interviewed by international hosts, and the fellows will share their thoughts about the regulations.

The draft #EUAIRegs mandate classification of high risk AI and also require specific approaches to ensure that such AI systems do not harm people. This regulation has proposed a penalty of 6% of global revenues or Euro 30 million for violations.

Dr. Shea Brown is a researcher, lecturer, speaker, and consultant in AI Ethics, Machine-learning, and Astrophysics. He earned his Ph.D. in Astrophysics from the University of Minnesota. He is the founder and CEO of BABL, AI. He is a current ForHumanity fellow focusing on algorithmic auditing and AI governance.

In this episode, Shea discusses his perspectives on EU AI regulations. He shares that a focus on standardization in order to mitigate bias is crucial. Regulations will also help other countries, like the USA, to increase their own AI regulations. These regulations will push the rest of the world to continue developing and evolving their AI regulations.

Visit us at https://forhumanity.center/ to learn more

ATGO AI, a short form podcast from ForHumanity. 

In this episode, Ryan Carrier, founder of Forhumanity expressing about the mission.

Ryan serves as ForHumanity’s Executive Director and Chairman of the Board of Directors, in these roles he is responsible for the day-to-day function of ForHumanity and the overall process of Independent Audit. He started this non-profit in 2016 with a mission to Managing AI risks for Humanity   Ryan has conducted business in over 55 countries and is a frequent speaker at industry conferences around the world on the topic of audit of AI systems. The ForHumanity mission is one of the largest and notable crowdsourced efforts on audit of AI system

Listen to the insightful podcast series

Visit us at https://forhumanity.center/ to know more

ATGO AI, a short form podcast from ForHumanity. This series is about the recent draft EU regulations for AI. The ForHumanity fellows, leading international experts on AI will be interviewed by international hosts, and the fellows will share their thoughts about the regulations.

The draft #EUAIRegs mandate classification of high risk AI and also require specific approaches to ensure that such AI systems do not harm people. This regulation has proposed a penalty of 6% of global revenues or Euro 30 million for violations.

Merve Hickok, a ForHumanity fellow, is a founder of the Lighthouse Career Consulting - an advisory consultancy, working in the space of AI ethics and Responsible AI. She is an independent consultant, lecturer and speaker on AI ethics and bias & its implications.

Merve states, we need to pay attention to the whole supply chain for AI and really ask the ethical questions to think about bias mitigation. These regulations will be a tool to help companies stay accountable. Other countries will see the regulations as a sign that it’s ok, we are starting now, and we can feel more comfortable about actually regulating AI.

Visit us at https://forhumanity.center/ to know more

ATGO AI, a short form podcast from ForHumanity. This series is about the recent draft EU regulations for AI. The ForHumanity fellows, leading international experts on AI will be interviewed by international hosts, and the fellows will share their thoughts about the regulations.

The draft #EUAIRegs mandate classification of high risk AI and also require specific approaches to ensure that such AI systems do not harm people. This regulation has proposed a penalty of 6% of global revenues or Euro 30 million for violations.

Adam Lyon Smith is a specialist in software quality, continuous integration, and AI. He has held senior technology roles at several multinationals, delivering large complex projects. Chair of Specialist group in Software Testing. He was also the editor for standards including bias in AI system and quality model. He is a ForHumanity Fellow and a Board member of ForHumanity.

In this episode Adam talks about his perspectives on EU AI regulations. Adam shares, “standards need to be applied” instead of just looking at regulation. He welcomes the regulation and believes that this will help in a robust and data driven approach. Read the regulation...this is the start, and not the end. “The starting gun has been fired for the standards committee.”

Visit us at https://forhumanity.center/ to know more