Groundbreaking Conference Examines How AI Transforms Our World

January 18, 2018

NEW YORK, Jan. 18, 2018 — ACM, the Association for Computing Machinery; AAAI, the Association for the Advancement of Artificial Intelligence; and SIGAI, the ACM Special Interest Group on Artificial Intelligence have joined forces to organize a new conference on Artificial Intelligence, Ethics and Society (AIES). The conference aims to launch a multi-disciplinary and multi-stakeholder effort to address the challenges of AI ethics within a societal context. Conference participants include experts in various disciplines such as computing, ethics, philosophy, economics, psychology, law and politics. The inaugural AIES conference is planned for February 1-3 in New Orleans.

“The public is both fascinated and mystified about how AI will shape our future,” explains AIES Co-chair Francesca Rossi, IBM Research and University of Padova. “But no one discipline can begin to answer these questions alone. We’ve brought together some of the world’s leading experts to imagine how AI will transform our future and how we can ensure that these technologies best serve humanity.”

Conference organizers encouraged the submission of research papers on a range of topics including building ethical AI systems, the impact of AI on the workforce, AI and the law, and the societal impact of AI. Out of 200 submissions, only 61 papers have been selected and will be presented during the conference.

The program of AIES 2018 also includes invited talks by leading scientists, panel discussions on AI ethics standards and the future AI, and the presentation of the leading professional and student research papers on AI. Co-chairs include Francesca Rossi, a computer scientist and former president of the International Joint Conference on Artificial Intelligence; Jason Furman, a Harvard economist and former Chairman of the Council of Economic Advisors (CEA); Huw Price, a philosopher and Academic Director of the Leverhulme Centre for Future of Intelligence; and Gary Marchant, Regent’s Professor of Law and Director of the Center for Law, Science and Innovation at Arizona State University.

AIES 2018 HIGHLIGHTS

INVITED TALKS

The Moral Machine Experiment: 40 Million Decisions and the Path to Universal Machine Ethics

Iyad Rahwan and Edmond Awad, Massachusetts Institute of Technology

Rahwan and Awad describe the Moral Machine, an internet-based serious game exploring the many-dimensional ethical dilemmas faced by autonomous vehicles. The game they developed enabled them to gather 40 million decisions from 3 million people in 200 countries and territories. We report the various preferences estimated from this data, and document interpersonal differences in the strength of these preferences. We also report cross-cultural ethical variation and uncover major clusters of countries exhibiting substantial differences along key moral preferences. These differences correlate with modern institutions, but also with deep cultural traits. Rahwan and Ewad discuss how these three layers of preferences can help progress toward global, harmonious, and socially acceptable principles for machine ethics.

AI, Civil Rights and Civil Liberties: Can Law Keep Pace with Technology?

Carol Rose, American Civil Liberties Union

At the dawn of this era of human-machine interaction, human beings have an opportunity to shape fundamentally the ways in which machine learning will expand or contract the human experience, both individually and collectively. As efforts to develop guiding ethical principles and legal constructs for human-machine interaction move forward, how do we address not only what we do with AI, but also the question of who gets to decide and how? Are guiding principles of ‘Liberty and Justice for All’ still relevant? Does a new era require new models of open leadership and collaboration around law, ethics, and AI?

AI Decisions, Risk, and Ethics: Beyond Value Alignment

Patrick Lin, California Polytechnic State University

When we think about the values AI should have in order to make right decisions and avoid wrong ones, there’s a large but hidden third category to consider: decisions that are not-wrong but also not-right. This is the grey space of judgment calls, and just having good values might not help as much as you’d think here. Autonomous cars are used as the case study here. Lessons are offered for broader AI: such as  ethical dilemmas that can arise in everyday scenarios such as lane positioning and navigation—and not just in crazy crash scenarios. This is the space where one good value might conflict with another good value, and there’s no “right” answer or even broad consensus on an answer.

The Great AI/Robot Jobs Scare: reality of automation fear redux 

Richard Freeman, Harvard University

This talk will consider the impact of AI/robots on employment, wages and the future of work more broadly. We argue that we should focus on policies that make AI robotics technology broadly inclusive both in terms of consumption and ownership so that billions of people can benefit from higher productivity and get on the path to the coming age of intolerable abundance.

PANELS

What Will Artificial Intelligence Bring?

Brent Venable, Tulane University (Moderator); Paula Boddington, Oxford University; Wendell Wallach, Yale University; Jason Furman, Harvard University; and Peter Stone, UT Austin

World class researchers from different disciplines and best-selling authors will elaborate on the impact of AI on modern society and will answer questions. This panel is open to the public.

Prioritizing Ethical Considerations in Intelligent and Autonomous Systems: Who Sets the Standards? 

Takashi Egawa, NEC Corporation; Simson L. Garfinkel, USACM; John C. Havens, IEEE (moderator); Annette Reilly, IEEE; and Francesca Rossi, IBM and University of Padova

While dealing with intelligent and autonomous technologies, safety standards and standardization projects are providing detailed guidelines or requirements to help organizations institute new levels of transparency, accountability and traceability. The panelists will explore how we can build trust and maximize innovation while avoiding negative unintended consequences.

BEST PAPER AWARD (sponsored by the Partnership on AI)

Shared between the following two papers:

Transparency and Explanation in Deep Reinforcement Learning Neural Networks

Rahul Iyer, InSite Applications; Yuezhang Li, Google; Huao Li, University of Pittsburgh; Michael Lewis, Facebook; Ramitha Sundar, Carnegie Mellon; and Katia Sycara, Carnegie Mellon

For AI systems to be accepted and trusted, the users should be able to understand the reasoning process of the system and to form coherent explanations of the systems decisions and actions. This paper presents a novel and general method to provide a vizualization of internal states of deep reinforcement learning models, thus enabling the formation of explanations that are intelligible to humans.

An AI Race: Rhetoric and Risks 

Stephen Cave, Leverhulme Centre for the Future of Intelligence, Cambridge University  and; Seán S ÓhÉigeartaigh, Centre for the Study of Existential Risk, Cambridge University

The rhetoric of the race for strategic advantage is increasingly being used with regard to the development of AI. This paper assesses the potential risks of the AI race narrative, explores the role of the research community in responding to these risks, and discusses alternative ways to develop AI in a collaborative and responsible way.

For a complete list of research papers and posters which will be presented at the AIES Conference, visit http://www.aies-conference.com/accepted-papers/. The proceedings of the conference will be published in the AAAI and ACM Digital Libraries.

About ACM

ACM, the Association for Computing Machinery (www.acm.org), is the world’s largest educational and scientific computing society, uniting computing educators, researchers and professionals to inspire dialogue, share resources and address the field’s challenges. ACM strengthens the computing profession’s collective voice through strong leadership, promotion of the highest standards, and recognition of technical excellence. ACM supports the professional growth of its members by providing opportunities for life-long learning, career development, and professional networking.


Source: ACM

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, code-named Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from its predecessors, including the red-hot H100 and A100 GPUs. Read more…

Nvidia Showcases Quantum Cloud, Expanding Quantum Portfolio at GTC24

March 18, 2024

Nvidia’s barrage of quantum news at GTC24 this week includes new products, signature collaborations, and a new Nvidia Quantum Cloud for quantum developers. While Nvidia may not spring to mind when thinking of the quant Read more…

2024 Winter Classic: Meet the HPE Mentors

March 18, 2024

The latest installment of the 2024 Winter Classic Studio Update Show features our interview with the HPE mentor team who introduced our student teams to the joys (and potential sorrows) of the HPL (LINPACK) and accompany Read more…

Houston We Have a Solution: Addressing the HPC and Tech Talent Gap

March 15, 2024

Generations of Houstonian teachers, counselors, and parents have either worked in the aerospace industry or know people who do - the prospect of entering the field was normalized for boys in 1969 when the Apollo 11 missi Read more…

Apple Buys DarwinAI Deepening its AI Push According to Report

March 14, 2024

Apple has purchased Canadian AI startup DarwinAI according to a Bloomberg report today. Apparently the deal was done early this year but still hasn’t been publicly announced according to the report. Apple is preparing Read more…

Survey of Rapid Training Methods for Neural Networks

March 14, 2024

Artificial neural networks are computing systems with interconnected layers that process and learn from data. During training, neural networks utilize optimization algorithms to iteratively refine their parameters until Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, code-named Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Nvidia Showcases Quantum Cloud, Expanding Quantum Portfolio at GTC24

March 18, 2024

Nvidia’s barrage of quantum news at GTC24 this week includes new products, signature collaborations, and a new Nvidia Quantum Cloud for quantum developers. Wh Read more…

Houston We Have a Solution: Addressing the HPC and Tech Talent Gap

March 15, 2024

Generations of Houstonian teachers, counselors, and parents have either worked in the aerospace industry or know people who do - the prospect of entering the fi Read more…

Survey of Rapid Training Methods for Neural Networks

March 14, 2024

Artificial neural networks are computing systems with interconnected layers that process and learn from data. During training, neural networks utilize optimizat Read more…

PASQAL Issues Roadmap to 10,000 Qubits in 2026 and Fault Tolerance in 2028

March 13, 2024

Paris-based PASQAL, a developer of neutral atom-based quantum computers, yesterday issued a roadmap for delivering systems with 10,000 physical qubits in 2026 a Read more…

India Is an AI Powerhouse Waiting to Happen, but Challenges Await

March 12, 2024

The Indian government is pushing full speed ahead to make the country an attractive technology base, especially in the hot fields of AI and semiconductors, but Read more…

Charles Tahan Exits National Quantum Coordination Office

March 12, 2024

(March 1, 2024) My first official day at the White House Office of Science and Technology Policy (OSTP) was June 15, 2020, during the depths of the COVID-19 loc Read more…

AI Bias In the Spotlight On International Women’s Day

March 11, 2024

What impact does AI bias have on women and girls? What can people do to increase female participation in the AI field? These are some of the questions the tech Read more…

Alibaba Shuts Down its Quantum Computing Effort

November 30, 2023

In case you missed it, China’s e-commerce giant Alibaba has shut down its quantum computing research effort. It’s not entirely clear what drove the change. Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Analyst Panel Says Take the Quantum Computing Plunge Now…

November 27, 2023

Should you start exploring quantum computing? Yes, said a panel of analysts convened at Tabor Communications HPC and AI on Wall Street conference earlier this y Read more…

DoD Takes a Long View of Quantum Computing

December 19, 2023

Given the large sums tied to expensive weapon systems – think $100-million-plus per F-35 fighter – it’s easy to forget the U.S. Department of Defense is a Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Leading Solution Providers

Contributors

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Training of 1-Trillion Parameter Scientific AI Begins

November 13, 2023

A US national lab has started training a massive AI brain that could ultimately become the must-have computing resource for scientific researchers. Argonne N Read more…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

Google Introduces ‘Hypercomputer’ to Its AI Infrastructure

December 11, 2023

Google ran out of monikers to describe its new AI system released on December 7. Supercomputer perhaps wasn't an apt description, so it settled on Hypercomputer Read more…

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire