Age, Biography and Wiki

Francesca Rossi was born on 7 December, 1962 in Ancona, Italy, is an Italian computer scientist. Discover Francesca Rossi's Biography, Age, Height, Physical Stats, Dating/Affairs, Family and career updates. Learn How rich is she in this year and how she spends money? Also learn how she earned most of networth at the age of 61 years old?

Popular As N/A
Occupation N/A
Age 61 years old
Zodiac Sign Sagittarius
Born 7 December, 1962
Birthday 7 December
Birthplace Ancona, Italy
Nationality Italy

We recommend you to check the complete list of Famous People born on 7 December. She is a member of famous Computer with the age 61 years old group.

Francesca Rossi Height, Weight & Measurements

At 61 years old, Francesca Rossi height not available right now. We will update Francesca Rossi's Height, weight, Body Measurements, Eye Color, Hair Color, Shoe & Dress size soon as possible.

Physical Status
Height Not Available
Weight Not Available
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Dating & Relationship status

She is currently single. She is not dating anyone. We don't have much information about She's past relationship and any previous engaged. According to our Database, She has no children.

Family
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Children Not Available

Francesca Rossi Net Worth

Her net worth has been growing significantly in 2023-2024. So, how much is Francesca Rossi worth at the age of 61 years old? Francesca Rossi’s income source is mostly from being a successful Computer. She is from Italy. We have estimated Francesca Rossi's net worth, money, salary, income, and assets.

Net Worth in 2024 $1 Million - $5 Million
Salary in 2024 Under Review
Net Worth in 2023 Pending
Salary in 2023 Under Review
House Not Available
Cars Not Available
Source of Income Computer

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Timeline

1962

Francesca Rossi (born December 7, 1962) is an Italian computer scientist, currently working at the IBM Thomas J. Watson Research Center (New York, USA) as an IBM Fellow and the IBM AI Ethics Global Leader.

1986

She received her bachelor's and master's degrees in computer science from the University of Pisa in 1986, and a PhD in computer science from the same university in 1993.

1998

After her graduation, she stayed at the University of Pisa as an assistant professor until 1998.

2001

She then moved to the University of Padova where she was an associate professor until 2001, and a full professor until 2018.

2011

She co-authored the book "A Short Introduction to Preferences: Between Artificial Intelligence and Social Choice", published in the Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers, July 2011, and she authored the book "Il confine del futuro – Possiamo fidarci dell'Intelligenza Artificiale?", published by Feltrinelli for the Italian market.

Francesca is a leader in the field of AI ethics, both with her AI research projects aimed at embedding human values in AI systems

and the many roles she has had, or currently has, in this area:

Francesca has delivered 4 TEDx talks, on topics related to AI:

She has delivered several online talks and podcast, including "Fast and Slow AI", Francesca Rossi and Daniel Kahneman, CERN SPARK, 2021

Francesca has been interviewed by several prominent media venues, including:

D di Repubblica (May 2021), The Nikkei (June 2021), Insider: Inside the Technology (September 2021), Fortune (December 2021), The Financial Times (Sept. 2018), The Nikkei (Jan. 2018), The Economist (June 2016), The Washington Post (May 2015), the Wall Street Journal (May 2015), Sydney Morning Herald (Feb. 2015), Euronews (Jan. 2015).

She has also written some pieces for the media, such as:

2014

In 2014–2015 she was on sabbatical as a Fellow of the Radcliffe Institute for Advanced Studies, Harvard University.

2015

In 2015 she joined IBM Research, at the T.J. Watson IBM Research Center (New York, USA), as a distinguished researcher.

2020

In 2020 she became an executive and was appointed as an IBM Fellow.

Her research interests are in the area of artificial intelligence, with particular focus on constraint programming, combinatorial optimization, preference modeling, reasoning, and aggregation, knowledge representation, constrained reinforcement learning, ethically aligned AI, neuro-symbolic AI, and cognitive AI architectures.

In the past, she has also worked on language semantics, graph grammars, logic programming, and Petri nets.

She is also interested in understanding how to embed ethical principles into decision-making systems, to support either individuals or groups make more ethical decisions.

Topics of special attention, in this regard, are detecting bias, defining distances between preference models, as well as embedding ethical behavioral constraints into reinforcement learning models.

Most recently, her research interest is in leveraging cognitive theories of human reasoning and decision making, such as the thinking fast and slow theory of Daniel Kahneman, to advance AI's capabilities.

On these topics, she has published over 230 articles in international journals and conferences.

She has also edited over 20 volumes, including the Handbook of Constraint Programming.