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About Ariane Bernard

Smart Data Initiative Lead

INMA

New York, Paris,

Ariane Bernard is lead of the INMA Smart Data Initiative. She is based in New York City and Paris and can be reached at Ariane.Bernard@inma.org.

Written by Ariane

78 Blog Posts

AI should be understood for the operational, not magical, gifts it brings

18 December 2023 By Ariane Bernard

Aftonbladet offers an “AI buffet” to its users, big wins for its corporate culture

4 December 2023 By Ariane Bernard

News readers are watching — and leery of — AI use by media

21 November 2023 By Ariane Bernard

European media companies lead the way with AI exploration

20 November 2023 By Ariane Bernard

Aftonbladet creates a short-term AI innovation, efficiency team

6 November 2023 By Ariane Bernard

An “LLM for journalism” has interesting benefits

26 October 2023 By Ariane Bernard

News publishers should prioritise AI, tech literacy for journalists

17 October 2023 By Ariane Bernard

Transparency in AI guidelines isn’t so straightforward

25 September 2023 By Ariane Bernard

The art of prompting, iterating with a generative AI starts with precision

11 September 2023 Ariane Bernard

What is ChatGPT prompting?

10 September 2023 Ariane Bernard

Measuring generative AI tools gives news publishers a sense of their ROI

13 August 2023 Ariane Bernard

Here’s your AI reading list for the dog days of summer

31 July 2023 Ariane Bernard

Newsrooms should consider 3 insights as they experiment with generative AI

17 July 2023 Ariane Bernard

3 media companies illustrate machine approaches to quotations: generative AI and tagged data

2 July 2023 Ariane Bernard

Readers have mixed feelings about AI-generated voices reading the news

19 June 2023 Ariane Bernard

3 themes emerge as media leaders share their data journey

4 June 2023 Ariane Bernard

Tried-and-true uses of AI in media shouldn’t be forgotten amid ChatCPT fanfare

22 May 2023 Ariane Bernard

INMA World Congress sessions will cover 3 areas of data applications for media

15 May 2023 Ariane Bernard

Current copyright battle over generative AI in music is a good test for media

8 May 2023 Ariane Bernard

Record label battles with generative AI carry lessons for news industry

24 April 2023 Ariane Bernard

Go cautiously but excitedly toward generative AI

11 April 2023 Ariane Bernard

Schibsted is testing “human-in-the-loop” approaches to GPT-3 integration

28 March 2023 Ariane Bernard

The Guardian applies value-driven product thinking to data projects

27 March 2023 Ariane Bernard

What is algorithmic governance and how does it affect news media?

13 March 2023 Ariane Bernard

Generative-AI content needs clear disclaimers for news readers

12 March 2023 Ariane Bernard

Media’s first forays into generative AI should be as a helper tools for humans

27 February 2023 Ariane Bernard

The youth, pitfalls of generative AI are key context to this moment

26 February 2023 Ariane Bernard

Look to Big Tech for a senior data scientist’s view of media company careers

14 February 2023 Ariane Bernard

Young data people want to transform media companies, work on diverse problems

13 February 2023 Ariane Bernard

Here’s what generative AI and Google Search do — and do not — have in common

30 January 2023 Ariane Bernard

Journalism and generative AI differ in one big way: auditability

29 January 2023 Ariane Bernard

What ethical questions will generative AI bring up for media?

17 January 2023 Ariane Bernard

Growing a media data team points to two key questions

16 January 2023 Ariane Bernard

Testing is a key priority for media data teams for these 4 reasons

15 January 2023 Ariane Bernard

Diversity on your data team means supporting various styles of work, life

19 December 2022 Ariane Bernard

Media companies, data teams should question hiring culture to attract better talent

18 December 2022 Ariane Bernard

Is your data team heard and respected throughout the company?

5 December 2022 Ariane Bernard

Data team culture should start with a great mission

4 December 2022 Ariane Bernard