Subj : Defining fairness: How IBM is tackling AI governance
To   : All
From : TechnologyDaily
Date : Sat Dec 02 2023 18:00:05

Defining fairness: How IBM is tackling AI governance

Date:
Sat, 02 Dec 2023 17:43:16 +0000

Description:
Governance is a key issue in developing AI, and IBM hopes to change the face 
of the industry.

FULL STORY
======================================================================

Enterprises are hesitant to adopt AI solutions due to the difficulty in 
balancing the cost of governance with the behaviours of large language models 
(LLM), such as hallucinations, data privacy violations, and the potential for 
the models to output harmful content. 

One of the most difficult challenges facing the adoption of LLM is in 
specifying to the model what a harmful answer is, but IBM believes it can 
help improve the situation for firms everywhere. 

Speaking at an event in Zurich, Elizabeth Daly, STSM, Research Manager, 
Interactive AI Group of IBM Research Europe, highlighted that the company is 
looking to develop AI that developers can trust, noting, It's easy to measure 
and quantify clicks, it's not so easy to measure and quantify what is harmful 
content. Detect, Control, Audit 

Generic governance policies are not enough to control LLMs, therefore IBM is 
looking to develop LLMS to use the law, corporate standards and the internal 
governance of each individual enterprise as a control mechanism - allowing 
governance to go beyond corporate standards and incorporate the individual 
ethics and social norms of the country, region or industry it is used in. 

These documents can provide context to a LLM, and can be used to reward an 
LLM for remaining relevant to its current task. This allows an innovative 
level of fine tuning in determining when AI is outputting harmful content 
that may violate the social norms of a region, and can even allow an AI to 
detect if its own outputs could be identified as harmful. 

Moreover, IBM has been meticulous in developing its LLMs on data that is 
trustworthy, and detects, controls and audits for potential biases at each 
level, and has implemented detection mechanisms at each stage of the 
pipeline. This is in stark contrast to off-the-shelf foundation models which 
are typically trained on biassed data and even if this data is later removed, 
the biases can still resurface. 

The proposed EU AI Act will link the governance of AI with the intentions of 
its users, and IBM states that usage is a fundamental part of how it will 
govern its model, as some users may use its AI for summarization tasks, and 
others may use it for classification tasks. Daly states that usage is 
therefore a first class citizen in IBMs model of governance. More from 
TechRadar Pro Microsoft is investing billions to bring AI to the UK Looking 
to collaborate? Here are the best online tools for businesses AI and ChatGPT 
are scary, according to cybercriminals 






======================================================================
Link to news story:
https://www.techradar.com/pro/defining-fairness-how-ibm-is-tackling-ai-governa
nce


--- Mystic BBS v1.12 A47 (Linux/64)
 * Origin: tqwNet Technology News (1337:1/100)

.