Russian Federation

error-correction

ai safety paradox

ai ethics

The AGI conference series is the only major conference series devoted wholly and specifically to the creation of AI systems possessing general intelligence at the human level and ultimately beyond. By gathering together active researchers in the field, for presentation of results and discussion of ideas, we accelerate our progress toward our common goal.

Underline hosted the two main days of AGI 2020 on Wednesday June 24th and Thursday June 25th. Both days were **live-streamed** and you can read the full program bellow. All presentations are available for a **asynchronous viewing**. All presenters are grouped into panels. You can also hear guest talks by **Ben Goertzel** (SingularityNET), **Valery Tarasov** (Semenov Institute of Chemical Physics), **Tatiana Shavrina** (Sberbank) and **Joscha Bach** (MIT Media Lab). 

AGI-20

The AGI conference series is the only major conference series devoted wholly and specifically to the creation of AI systems possessing general intelligence at the human level and ultimately beyond. By gathering together active researchers in the field, for presentation of results and discussion of ideas, we accelerate our progress toward our common goal.

ECAI2020 featured a full programme of technical papers, as well as many AI-related events of interest for researchers, students and all attendants who are interested on contemporary AI, including:




**An extensive programme of workshops, tutorials, and invited speakers**

**The Prestigious Applications of Intelligent Systems conference (PAIS)**

**The Frontiers in AI track sessions**

**The Lab To Market event**

**The Women in AI time**

**The EU Challenges forum**

… and many more!

ECAI 2020

"The complex socio-technological debate underlying safety critical and ethically relevant issues pertaining to AI development and deployment extends across heterogeneous research subfields and involves in part conflicting positions. In this context, it seems expedient to generate a minimalistic joint transdisciplinary basis disambiguating the references to specific subtypes of AI properties and risks for an error-correction in the transmission of ideas. In this paper, we introduce a high-level trans-disciplinary system clustering of ethical distinction between antithetical
clusters of Type I and Type II systems which extends a cybersecurity oriented AI safety taxonomy with considerations from psychology. Moreover, we review relevant Type I AI risks, reflect upon possible epistemological origins of hypothetical Type II AI from a cognitive sciences perspective and discuss the related human moral perception. Strikingly, our nuanced transdisciplinary analysis yields the figurative formulation of the so-called AI safety paradox identifying AI control and value alignment as conjugate requirements in AI safety. Against this backdrop, we craft
versatile multidisciplinary recommendations with ethical dimensions tailored to Type II AI safety. Overall, we suggest proactive and importantly corrective instead of prohibitive methods as common basis for both Type I and Type II AI safety."

Error-Correction for AI Safety

technical paper

Psychological Portrait of a Virtual Agent in the Teleport Game Paradigm

Report on “AI and Human Thought and Emotion”

AGI Needs the Humaities

Toward a General Believable Model of Human-Analogous Intelligent Socially Emotional Behavior

Embedding Vector Differences Can Be Aligned With Uncertain Intensional Logic Differences

What Kind of Programming Language Best Suits Integrative AGI?

Combinatorial Decision Dags: A Natural Computational Model for General Intelligence

SAGE: Task-Environment Platform for Evaluating a Broad Range of AI Learners

Omega: An Architecture for AI Unification

From Psychonics to Artificial General Intelligence and Hybrid Intelligence

keynote

Error-Correction for AI Safety

Downloads

Next from AGI-20

Psychological Portrait of a Virtual Agent in the Teleport Game Paradigm

Similar lecture

Towards organizational guidelines for the responsible use of AI