20:02
“AI needs to have a trustworthiness index and sources monitoring”
01:04:28
Modeling American Sign Language via Linguistic Knowledge Infusion (Includes ASL Interpretation)
20:14
“AI is not smarter than us, but it will try harder than us, for better or worse”
01:00:40
Computational Epidemiology During the COVID-19 Pandemic
01:03:49
How Far Are We from Achieving AI Automation in the Digital World?
20:00
"I worry about AI researchers not knowing enough about social sciences"
52:02
Composable Interventions for Language Models
19:35
“Today you have to do AI combined with some other field to be relevant”
01:01:39
Nexa AI – Functional Tokens for On-device Multimodal Models
19:48
“If you study AI you need to be curious and not pay attention to the noise”
01:03:46
On Robustness and Generative Modeling
19:51
“AI could be an advisor to someone who does not have a support system”
19:47
"There is no end goal for AI ethics, there will always be something new to mitigate"
01:10:41
Human-AI Interaction: From Supporting Surgical Training to Inspecting Social Bias in LLMs
19:56
“I worry that AI will be used to manipulate large groups of people”
01:01:01
AI for Fostering Constructive Online Conversations
19:42
"AIs will give you answers even if they don’t know"
59:37
Causal Inference to Inform Curation Practices in Online Platforms
01:01:36
Event Extraction for Epidemic Prediction
01:01:31
Understanding LLMs through their Generative Behavior, Successes and Shortcomings
19:41
“We need to determine who is responsible when AI makes a mistake”
01:06:40
Staring into the Abyss and Eating Glass: Presentation by Rajiv Maheswaran
48:14
How to Steal ChatGPT’s Embedding Size, and Other Low-rank Logit Tricks
57:01
AI in Structural Biology: Roots of Success
01:04:33
DeLLMa: A Framework for Decision Making Under Uncertainty with Large Language Models
19:51
“The talk around AI replacing us is the most misunderstood concept in AI”
01:16:25
Multimodal Machine Intelligence and Health
19:38
“I love OpenAI tools. They save me so much time, I call her Chatty”
58:32
Informative Example Selection for In-Context Learning
19:53
“AI is also the reinvention of communication”
56:00
The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AI
19:49
"I wish AI could surpass humans in empathy, it should be pretty easy"
02:38
Women in Research - Alefiya Hussain
02:49
Women in Research - Kristina Lerman
58:34
Do Androids Know They’re Only Dreaming of Electric Sheep?
19:31
“We need more social sciences experts in AI to focus on its human side”
01:01:02
A Gateway to Trustworthy AI: Using Visual Analytics to Unmask Coincidental Correlations
01:02:31
Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models
19:51
“My fear is that we put AI at the core without any human knowledge”
01:55
Women in Research - Genevieve Bartlett
19:58
“AIs can’t be sentient, they are bunch of numbers that obey algorithms”
48:06
Red Teaming Language Model Detectors with Language Models
19:55
"I worry that people are not contextualizing their interactions with AI enough"
19:55
EPISODE 14 - "Humans are better at humor because AI's context sensing is still raw"
20:04
EPISODE 13 - "I want to help a student write a thesis on artificial general intelligence"
54:34
Harnessing Black-Box Control to Boost Commonsense in LM’s Generation
19:51
EPISODE 12 - “I try to solve problems where we don’t have enough resources”
19:56
EPISODE 11 - “We answer questions that companies are not brave enough to answer”
01:01:50
An Introduction to Egyptian from Hieroglyphs to Coptic
01:02:15
What Developmental Science brings to the creation of Artificial General Intelligence
02:43
Learn About Our Researchers - Alefiya Hussain
20:00
EPISODE 10 - "We need diverse voices doing AI to serve a diverse population"
02:48
Learn About Our Researchers - Kristina Lerman
19:59
EPISODE 9 - “Apply AI to problems you are passionate about”
02:48
Learn About Our Researchers - Jay Pujara
20:04
EPISODE 8 - “If I could go back in time I would tell myself to learn Python much earlier”
58:20
Visualizing and Analyzing Event Sequence Data
19:40
EPISODE 7 - "If we blur the line between what is real and fake, everything is fake"
02:58
Learn About Our Researchers - Jonathan May
19:27
EPISODE 6 - “We don’t have evidence that genuine AI empathy is on the horizon”
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About
The Information Sciences Institute (ISI) is a world leader in research and development of advanced information processing, computer and communications technologies.
A unit of the University of Southern California's highly ranked Viterbi School of Engineering, ISI is one of the nation's largest, most successful university-affiliated computer research institutes. The Institute attracts nearly $60 million annually -- from corporations and more than 20 federal government agencies -- for basic and applied research.
We bridge the gap between theoretical basic research and product-oriented research and development. ISI's diverse expertise ranges from core engineering and computer science discovery to design, modeling and implementation of innovative prototypes and devices.
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