𝗘𝗽𝗶𝘀𝗼𝗱𝗲 𝟮 — 𝗜𝗻𝘀𝗶𝗱𝗲 𝘁𝗵𝗲 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝗶𝗰 𝗚𝗮𝗽 When Intelligent Systems Produce Unequal Outcomes
Episode 1 asked whether America has an AI regulation problem — or a coordination problem. Episode 2 goes deeper: 𝗪𝗵𝗮𝘁 𝗵𝗮𝗽𝗽𝗲𝗻𝘀 𝘄𝗵𝗲𝗻 𝘁𝗵𝗲 𝗴𝗮𝗽𝘀 𝗶𝗻 𝗱𝗮𝘁𝗮, 𝗱𝗲𝘀𝗶𝗴𝗻, 𝗼𝘃𝗲𝗿𝘀𝗶𝗴𝗵𝘁 𝗮𝗻𝗱 𝗮𝗰𝗰𝗼𝘂𝗻𝘁𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝘀𝗵𝗼𝘄 𝘂𝗽 𝗶𝗻 𝗮 𝗿𝗲𝗮𝗹 𝗵𝘂𝗺𝗮𝗻 𝗼𝘂𝘁𝗰𝗼𝗺𝗲?
In Episode 2 of 𝗚𝗼𝘃𝗲𝗿𝗻𝗶𝗻𝗴 𝘁𝗵𝗲 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺, we examine:
- How bias can emerge even without explicit protected attributes
- Whether “human oversight” is truly meaningful
- How AI influences hiring, financial access and healthcare
- And who owns the responsibility when an AI-supported decision goes wrong
The central question: 𝗜𝘀 𝘁𝗵𝗲 𝗮𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺 𝘁𝗵𝗲 𝗽𝗿𝗼𝗯𝗹𝗲𝗺 — 𝗼𝗿 𝗶𝘀 𝗶𝘁 𝗲𝘅𝗽𝗼𝘀𝗶𝗻𝗴 𝗱𝗲𝗲𝗽𝗲𝗿 𝗴𝗮𝗽𝘀 𝗶𝗻 𝘁𝗵𝗲 𝘀𝘆𝘀𝘁𝗲𝗺 𝗮𝗿𝗼𝘂𝗻𝗱 𝗶𝘁?
Dr Sreenivasan Narayanan hosts a candid discussion with Jayendra Ramesan Ph.D.. Bill Talbot, IAITAM Fellow, CHPC and Dawn C Simmons on where algorithmic decisions meet real-world consequence.
𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗲 𝗯𝗼𝗹𝗱𝗹𝘆. 𝗚𝗼𝘃𝗲𝗿𝗻 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁𝗹𝘆. 𝗘𝗮𝗿𝗻 𝘁𝗿𝘂𝘀𝘁 𝗰𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀𝗹𝘆. 𝗕𝗿𝗼𝘂𝗴𝗵𝘁 𝘁𝗼 𝘆𝗼𝘂 𝗯𝘆:
𝗦𝗶𝗴𝗻𝗮𝗹 & 𝗦𝗰𝗮𝗹𝗲™ | 𝗗𝗖𝗚⁺ | 𝗪𝗼𝗺𝗲𝗻 𝗔𝗜 𝗟𝗮𝗯𝘀™
