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INTRODUCTION
- Black Mirror
- Technology black box
- Legal and Compliance implica;ons
Lawful tech and innova1ve tools Click to add title Sandra Mar6n Morn - - PowerPoint PPT Presentation
Lawful tech and innova1ve tools Click to add title Sandra Mar6n Morn - - PowerPoint PPT Presentation
Lawful tech and innova1ve tools Click to add title Sandra Mar6n Morn , General Counsel, Insud Pharma Click to add sub.tle Click to add +tle Click to add subtitle Black Mirror INTRODUCTION Technology black box Legal and Compliance
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SLIDE 3
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FACIAL RECOGNITION SEARCH ENGINES PREDICTION ALGORITMS AUTONOMOUS VEHICLES VOICE CONTROL DEVICES ROBOTICS/BOTS CRYPTO CURRENCY BIOMETRIC IDENTIFICATION GEOLOCALIZATION PREDICTION ALGORITMS SMART VOICE ASSISTANT BLOCKCHAIN
SLIDE 4
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Click to add subtitle Voting
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QUESTION 1
Would you agree to share your health data with your insurance company if this gives you the opportunity to pay less for your medical insurance? YES NO
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Click to add subtitle NON NON
- DIS
DISCRIM IMATION ION
- Developer unconscious Bias
- Algorithms are not smart
- Diversity can be the solu:on
SLIDE 7
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QUESTION 2
- A smart self driven car chooses to hit a pedestrian to avoid killing the
passenger, who is the guilty party?
- 1. The programmer at the office with the source code
- 2. The owner on the road with the car
- 3. The manufacturer in the lab with the testing protocols
SLIDE 9
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Click to add sub.tle AC ACCOUNTABILIT Y
§ AI Black Box § Who is accountable when things
go wrong?
§ Legal and Reputa.onal risk § Transparency is key
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Click to add subtitle PR PRIVACY CY
§ AI tracks loca2on, shopping and
poli2cal preferences
§ Now even tracks health habits § Use of data for ci2zen ra2ng
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AI recrui.ng
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Robots in the work place
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Remote workforce
EM EMPLOYMENT ENT
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IN IN-HO HOUS USE COUN UNSEL L ROLE LE
§ Deal with uncertainty § Embrace technology § Get involved in its design and development § Build legal & ethics review clusters § Encourage diversity § Trace decision making § Iden?fy liabili?es