See list and speakers following the plenary agenda, below. The Athens Roundtable is committed to advancing legal stakeholder education in AI and the law. The Roundtable is being held with the intention that attendees qualify for continuing legal education in their areas of professional practice. Attendance is upon invitation only. If you wish to attend, please request an invitation at aiathens@thefuturesociety.org.

The 2nd edition of the Montreal AI Ethics Institute's The State of AI Ethics captures the most relevant developments in the field of AI Ethics since July 2020. This report aims to help anyone, from machine learning experts to human rights activists and policymakers, quickly digest and understand the ever-changing developments in the field. Through research and article summaries, as well as expert commentary, this report distills the research and reporting surrounding various domains related to the ethics of AI, including: AI and society, bias and algorithmic justice, disinformation, humans and AI, labor impacts, privacy, risk, and future of AI ethics. In addition, The State of AI Ethics includes exclusive content written by world-class AI Ethics experts from universities, research institutes, consulting firms, and governments. These experts include: Danit Gal (Tech Advisor, United Nations), Amba Kak (Director of Global Policy and Programs, NYU's AI Now Institute), Rumman Chowdhury (Global Lead for Responsible AI, Accenture), Brent Barron (Director of Strategic Projects and Knowledge Management, CIFAR), Adam Murray (U.S. Diplomat working on tech policy, Chair of the OECD Network on AI), Thomas Kochan (Professor, MIT Sloan School of Management), and Katya Klinova (AI and Economy Program Lead, Partnership on AI). This report should be used not only as a point of reference and insight on the latest thinking in the field of AI Ethics, but should also be used as a tool for introspection as we aim to foster a more nuanced conversation regarding the impacts of AI on the world.

A three-year effort by hundreds of engineers worldwide resulted in the publication in March of 2019 of Ethically Aligned Design (EAD) for Business, a guide for policymakers, engineers, designers, developers and corporations. The effort was headed by the IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems (A/IS), with John C. Havens as Executive Director, who spoke to AI Trends for an Executive Interview. We recently connected to ask how the effort has been going. EAD First Edition, a 290-page document which Havens refers to as "applied ethics," has seen some uptake, for example by IBM, which referred to the IEEE effort within their own resource called Everyday Ethics for AI The IBM document is 26 pages, easy to digest, structured into five areas of focus, each with recommended action steps and an example. The example for Accountability involved an AI team developing applications for a hotel.

Technology experts predict the rate of adoption of artificial intelligence and machine learning will skyrocket in the next two years. These advanced technologies will spark unprecedented business gains, but along the way enterprise leaders will be called to quickly grapple with a smorgasbord of new ethical dilemmas. These include everything from AI algorithmic bias and data privacy issues to public safety concerns from autonomous machines running on AI. Because AI technology and use cases are changing so rapidly, chief information officers and other executives are going to find it difficult to keep ahead of these ethical concerns without a roadmap. To guide both deep thinking and rapid decision-making about emerging AI technologies, organizations should consider developing an internal AI ethics framework.

There's a lot of discussion about autonomous and intelligent systems these days, but few realize the impact those technologies will soon have on technology design and use. Already, formal and informal groups are debating the potential impacts of AI systems with the goal of articulating values, principles, and best practices that help guide the responsible design and use of such systems. For example, MIT Media Lab and the IEEE Standards Association (IEEE-SA) jointly announced the formation of the Council on Extended Intelligence (CXI) which intends to "build a new narrative" for AI/intelligent systems (A/IS) technology, inspired by principles of systems dynamics and design. CXI's initial efforts focus on three areas: participatory design, digital data agency, and metrics that measure prosperity more holistically than traditional indicators such as Gross Domestic Product (GDP). The respective projects are described below; although, the group's first challenge is distinguishing Extended Intelligence from AI and Augmented Intelligence.

Twenty years ago, setting up a timer to record on a tape your favourite TV show using a VCR device or recording a message on your voicemail was a total success in technology automation. Even the simple task of programming a digital alarm clock to wake us up at a certain time in the morning stopped being rocket science for some of us, fulfilling an inner desire to be part of a society that was unstoppably shifting into a digital transformation. This is just a small slice of how technology automation has changed over the past 20 years, and I assume we can all acknowledge that AI is gaining momentum, albeit regulatory authorities, legislators and lawyers not being fully sure how to adapt or embrace the change that's currently happening. Artificial Intelligence is here, it's the hot topic or the popular kid everyone wants to play in the park with. AI and automation are bringing us daily benefits; Internet and Big Data are becoming an essential part of both our work and private lives and we now have the capacity to collect huge sums of information too cumbersome for a person to process.

New technologies continue to shape society, albeit at an accelerating rate. Decades ago, societal change lagged behind tech innovation by many years, a decade or more. Now, change is occurring much faster as evidenced by the impact of disrupters including Uber and Airbnb. Central to much of the change is the data being collected, stored and analyzed for various reasons, not all of which are transparent. As the pace of technology innovation and tech-driven societal change accelerate, businesses are wise to think harder about the longer-term impacts of what they're doing, both good and bad. Technology in all its forms is just a tool that can be used for good or evil.

They are becoming more sophisticated, useful, and pervasive. Owing in part to the rapid advancement of powerful algorithms, AI has created not only new business opportunities worldwide, but also concerns from consumers, policymakers anddevelopers of the technology. These concerns need to be addressed. In fact, practitioners of data science, big data, and machine learning have been actively addressing social and ethical concerns that pertain to our increasingly algorithmic society. Can learning algorithms be designed to be fair?

The first of these events, Policy for Artificial Intelligence: Ethics and Inclusion for the Algorithmic Age, will feature Frank Escoubes (Bluenove's CEO), John C. Havens: Executive Director, The IEEE Global Initiative for Ethical Considerations in Artificial Intelligence and Autonomous Systems, and Cyrus Hodes, director of the AI Initiative with The Future Society at Harvard Kennedy School. This introductory webinar will provide a general perspective on why creating proactive and inclusive policy for AI is so important, featuring the efforts of The Harvard AI Initiative and their 6 month, global Online Civic Debate called, Governing the rise of Artificial Intelligence featuring Assembl, the collective intelligence platform. As Moderator, John will provide perspectives AI Ethics and how it relates to policy regarding The IEEE Global Initiative for Ethical Considerations in Artificial Intelligence and Autonomous Systems while also delving into specific issues Cyrus and Frank feel are most compelling to focus on in AI Policy today. Frank Escoubes is the President and co-founder of bluenove, a consulting and technology firm specialized in open innovation and collective intelligence based in France and Canada. Frank is a former Deloitte Principal.

That's the opinion of Stephen Hawking along with other leaders in the AI field, noted in a 2014 article in The Independent. Much of the media portrays a negative perception of AI, publishing articles and airing news segments about the technology with images of The Terminator. However, not many members of the media are asking what can be done to reap the benefits of the technology and avoid the risks. Those questions require a deeper look, which is why the IEEE Standards Association formed the IEEE Global Initiative for Ethical Considerations in Artificial Intelligence and Autonomous Systems, for which I serve as vice chair. In the past year, the initiative brought together more than 100 experts to collaborate on the report "Ethically Aligned Design."