Role of Ethics in Artificial Intelligence
Dates: 18 Mar, 19 Mar 2024 | 9am-5.30pm | Classroom Learning
Duration: 2 Days
Course Overview
The course will offer candidates an introduction to Artificial Intelligence (AI), the ethics of AI, the need for AI governance in corporate or government policies, case studies and use cases, and the work being done in this space by Singapore and international regulatory bodies. The premise: As the global conversation around ethical AI matures, there has emerged a distinct trend. There are a set of ethical values that are tightly coupled with the probabilistic nature of AI models and the impact of autonomous or augmented decision-making on humans. Thus, fairness, explainability, transparency and stakeholder communications form a core, standard set of ethical values with especial relevance for AI. This course will address all these issues.
This course is part of Professional Certificate in Artificial Intelligence and Machine Learning Foundation for Executives.
Course Objectives
This course will achieve the following objectives:
- Provide a set of current and evolving definitions of the different types of AI, Machine Learning, Deep Learning, Bias, etc.
- Determine the need for strong ethics and governance in AI.
- Develop efficient internal corporate governance structures and measures for AI development and deployment.
- Determine the level of human involvement in AI-augmented decision-making.
- Identify the operational issues of AI governance and management.
- Identify stakeholder interaction and communications.
Who Should Attend
Data/AI Scientists, Heads of AI Deployment, CDPO
Prerequisites
-
At least a polytechnic diploma.
-
Working in IT-related position
- Ideally have managerial roles
Course Convener
(Click photo to view biography)
Mr Raju Chellam
Raju Chellam
Mr Raju Chellam is a Fellow of Advanced Computing for Executives (ACE) at the NUS School of Computing. He is the Chief Editor of the AI E&G BoK (AI Ethics & Governance Body of Knowledge), an initiative by the SCS (Singapore Computer Society) & IMDA (Infocomm Media Development Authority).
He is Hon Chair of Cloud & Data Standards at IT Standards Committee (IMDA/ESG). He is also on the APEC DARE (Data Analytics Raising Employment) International Advisory Panel, and on the Credence DTRS (Data Trust Rating System) Expert Panel. He was conferred as an SCS Fellow in March 2018.
Raju is Hon Vice President of the SCS Cloud Chapter, and former Vice Chair of SGTech’s Cloud & Data Chapter. He is Vice President (New Technologies) at Fusionex Group, a leading software company that specializes in ABC (AI, Big Data Analytics, & Cloud ). Raju has been in the IT industry for 40 years. He was previously Head of Big Data & Cloud Practice – as well as Healthcare & Government solutions – at Dell EMC South Asia (covering Asean, IndoChina, Mongolia & all South Asian countries except India).
Prior to Dell, he was Managing Director of TechTrenders Asia, an advisory that helped companies migrate legacy apps to the cloud. He has previously worked in Hewlett-Packard (APJ Director of Comms), AMI Partners Inc (APAC Vice President) and as the BizIT Editor of The Business Times, Singapore, for a decade.
Course Fees
Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes
GST shall apply at prevailing rates
Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.
To enquire, email soc-ace@nus.edu.sg
To register, click Register
Course Codes
TGS-2022012321 (Classroom Learning)
TGS-2022012323 (Synchronous e-learning)
Course Fee Breakdown
Singapore Citizens
39 years old or youngerSingapore Citizen
40 years old or older