Bias in, bias out: Addressing the impact of bias in AI

Update: 2023-06-07

Description

In this week's episode, Lutz and Jasper breakdown the impact of bias in AI — and what it means for startups.

Comments

In Channel

AI Agents: The Future of Work?

2024-12-1238:45

The Value Translation Gap: AI's Deployment Problem

2024-11-2840:27

AI Products: Why ‘Good Enough’ Beats Perfect

2024-11-1438:53

The future of AI bots: winning with personalization, conviction, and cross-platform integration

2024-08-2225:49

AI Gold Rush: Is the Market Overheating?

2024-08-0824:26

Building AI products: 5 lessons from our founders' workshop

2024-08-0120:07

Founder Coaching: Tips for your AI Journey

2024-07-2637:41

Cherry's Investment Thesis on AI

2024-07-1940:09

A reality check on AI

2024-07-1032:01

Did our predictions hold true?

2024-03-2736:19

The synergy between LLMs and knowledge graphs

2023-08-2434:14

Large Language Models: one interface to rule them all?

2023-08-1541:52

You asked, we answered

2023-07-2834:10

Are we one step closer to using LLMs in practice?

2023-07-2128:01

AI and the human factor

2023-07-0734:04

What the latest in AI funding tells us

2023-06-3043:26

Will LLMs scale and revolutionize the legal space?

2023-06-1546:20

Bias in, bias out: Addressing the impact of bias in AI

2023-06-0732:44

The future is indie: AI’s impact on the music industry

2023-05-2642:16

How Ultimate evolved from hundreds of supervised models to UltimateGPT

2023-05-1251:56

00:00

Bias in, bias out: Addressing the impact of bias in AI

#box-pro-ellipsis-175672968809930{-webkit-line-clamp:2;}Bias in, bias out: Addressing the impact of bias in AI

Bias in, bias out: Addressing the impact of bias in AI

Bias in, bias out: Addressing the impact of bias in AI