maurizio lenzerini tiziana catarci · 2016: alphago beats go champion lee sedol thanks to machine...

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About Women, Men, and Robots Maurizio Lenzerini Dipartimento di Ingegneria Informatica Automatica e Gestionale Tiziana Catarci Dipartimento di Ingegneria Informatica, Automatica e Gestionale «A.Ruberti» [email protected]

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Page 1: Maurizio Lenzerini Tiziana Catarci · 2016: AlphaGo beats Go champion Lee Sedol Thanks to machine learning techniques AlphaGo may develop «intuitions» for Go playing

About Women, Men, and Robots

Maurizio LenzeriniDipartimento di Ingegneria Informatica Automatica e Gestionale

Tiziana Catarci

Dipartimento di Ingegneria Informatica, Automatica e Gestionale «A.Ruberti»

[email protected]

Page 2: Maurizio Lenzerini Tiziana Catarci · 2016: AlphaGo beats Go champion Lee Sedol Thanks to machine learning techniques AlphaGo may develop «intuitions» for Go playing

1997: IBM’s Deep Blue beats Kasparov

Note: courtesy of Moshe Vardi from his Sapienza talk, December 19, 2016 https://www.dis.uniroma1.it/~dottoratoii/news/vardi-seminar-december2016.php

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Page 3: Maurizio Lenzerini Tiziana Catarci · 2016: AlphaGo beats Go champion Lee Sedol Thanks to machine learning techniques AlphaGo may develop «intuitions» for Go playing

2011: IBM Watson defeats two Jeopardy! Champions

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Page 4: Maurizio Lenzerini Tiziana Catarci · 2016: AlphaGo beats Go champion Lee Sedol Thanks to machine learning techniques AlphaGo may develop «intuitions» for Go playing

2016: AlphaGo beats Go champion Lee Sedol

Thanks to machine learning techniques AlphaGo may develop«intuitions» for Go playing.

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Page 5: Maurizio Lenzerini Tiziana Catarci · 2016: AlphaGo beats Go champion Lee Sedol Thanks to machine learning techniques AlphaGo may develop «intuitions» for Go playing

Human Reasoning• Machine learning vs cognitive computing• Creativity• “Scientists are no closer to creating conscious

machines now than they were a decade ago” (Oxford

University’s head of computer science, Professor Michael Wooldridge)

Note: picture courtesy of Sonia Bergamaschi from her Ferrari talk, October 4, 2017

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Page 6: Maurizio Lenzerini Tiziana Catarci · 2016: AlphaGo beats Go champion Lee Sedol Thanks to machine learning techniques AlphaGo may develop «intuitions» for Go playing

Internet of Things & Industry 4.0

Note: courtesy of Sonia Bergamaschi from her Ferrari talk, October 4, 2017

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Page 7: Maurizio Lenzerini Tiziana Catarci · 2016: AlphaGo beats Go champion Lee Sedol Thanks to machine learning techniques AlphaGo may develop «intuitions» for Go playing

The Automation of Driving

Automation of the whole supply chain is expected: cargo ships, ports, trucking, warehouses, delivery, …

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Page 8: Maurizio Lenzerini Tiziana Catarci · 2016: AlphaGo beats Go champion Lee Sedol Thanks to machine learning techniques AlphaGo may develop «intuitions» for Go playing

Future of Work

• McKinsey: 45% of current jobs could be replaced using technology that already exists;

• Gartner: one in three jobs will be converted to software, robots and smart machines by 2025;

• But (digital) technology will create new jobs

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Page 9: Maurizio Lenzerini Tiziana Catarci · 2016: AlphaGo beats Go champion Lee Sedol Thanks to machine learning techniques AlphaGo may develop «intuitions» for Go playing

Routine vs. Nonroutine, Intellectual vs. Manual

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Page 10: Maurizio Lenzerini Tiziana Catarci · 2016: AlphaGo beats Go champion Lee Sedol Thanks to machine learning techniques AlphaGo may develop «intuitions» for Go playing

Jobs and Education

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Page 11: Maurizio Lenzerini Tiziana Catarci · 2016: AlphaGo beats Go champion Lee Sedol Thanks to machine learning techniques AlphaGo may develop «intuitions» for Go playing

Gender Differences

Ambrosetti Report data

Inapp (Istituto Nazionale analisi Politiche Pubbliche) data:Women with a master degree in STEM have44% more employmentopportunities wrt high school graduate womenMen 28%

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Page 12: Maurizio Lenzerini Tiziana Catarci · 2016: AlphaGo beats Go champion Lee Sedol Thanks to machine learning techniques AlphaGo may develop «intuitions» for Go playing

But…

In Italy - MIUR data 2016: 36,5% womengraduate in STEM78,5% in humanitiesSapienza femalestudents in Computer Eng.: 13,8% 16,3% femalestudents in tech high schools

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Page 13: Maurizio Lenzerini Tiziana Catarci · 2016: AlphaGo beats Go champion Lee Sedol Thanks to machine learning techniques AlphaGo may develop «intuitions» for Go playing

Grow-up Young Female Scientists• Between five and six years girls start having the

prejudice that males are more intelligent than female http://science.sciencemag.org/content/355/6323/389

• 15 years no more interest in STEMhttps://www.microsoft.com/empowering-

countries/en-us/gender-equality/nuvola-rosa/ • In summer we learn STEM (PdCM, Equal Opportunities

Dept.)– 1067 applications– 2.060.052,49 €– 209 awarded schools– 6000 children (60% girls)– 400 partners (universities, companies, no-profit, research

institutes)

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Page 14: Maurizio Lenzerini Tiziana Catarci · 2016: AlphaGo beats Go champion Lee Sedol Thanks to machine learning techniques AlphaGo may develop «intuitions» for Go playing

Conclusions

• “Gender equality is an existing and unrealized commitment” (Arzu Ozyol, UN Second Vice President)

• «Tech is too important to be left to men!» (Neelie Kroes, EC Vice President)

• “ICT is no longer for the geeky few – it is cool, and it is the future! Only 9% of app developers are women? Come on! Give coding a try, see how fun it can be!" (Neelie Kroes, EC Vice President)

• Women have a special ability to solve problems and this is the IT core

• ICT has a transformative power and could act as catalysts for women empowerment

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