1 Flashcards
what is definition of AI
AI is difficult to define and there isn’t one set definition
- Mark cockelbergh claimed AI is ‘intelligence displayed or simulated by code or machines’
Definition of Robot
There is not a set definition as there is so many different types
- no EU official definition but the EU parliament agreed that is features attributes such as self learning machine which gains autonomy through exchanging data and has the ability to adapt to its environment
concerns of AI in general
- bias and discrimination
- inequality
- privacy
- ## feedback loop
Where does BIAS arise in robots and AI
- predictive policing - crime data is scarce and therefore they will go they know where current crime is and feedback loop repeats. Tendency to racial profile
- in the training data of the machines (for example imagenet uses a lot of US data- which is not representative). it will continue to be reflected
- The developers a disproportionally western white men.
Where do privacy concerns arise
- labour and state surveillance
- deepfakes
- Internet of things
- predictive policing
- affect recognition
What solution is available to tackle bias in predictive policing
- bias testing using audits to quantity how the system is run (2nd party otherwise treated as a checkbox)
- changing the training data and those affecting the outcomes such as the police. Police force is known for discrimination and bias within the force.
- EDUCATE - on ways to tackle it not just who can arrest the most people. that is not justice. stop using it until it is accurate, and not in a. way that it is biased
what are the issue with the solutions to tackling bias in predictive policing
the solutions are educate, bias testing using audits and amending the training data
- AUDITS = how exactly is bias tested, questions to what is morally right and effect to tackle crime. must consider the balance of protecting public but also not being discriminatory (balance article 8 ECHR, private life, and national security)
- ACCURACY = would it make it less accurate?
what types of state surveillance is there and what are the problems
TYPES
- mass state surveillance
- affect recognition
- biometric policing programme in Greece (lawfulness being investigated)
- spyware
- predictive policing
-
PROBLEMS
- balance between article 8 and national security
- transparency
- privacy
what is Disinformation and what are the concerns
intentionally misleading
- danger to public health, national security and racial equality.
CONCERNS
- AI echoes it through algorithms that create echo chambers
- Facebook algorithms designed to receive likes by spreading disinformation.
- DEEPFAKES
what is predicting privacy and anonymisation and what are the concerns
- predicting personal information without knowledge
- anonymisation is the removal of personally identifiable data
CONCERNS
- used to persuade users to consent
- BUT there is ways to re identify and it is hard to be truly anonymous.
what are Deepfakes and what are the concerns
visual deepfakes- create enormous harm, political issues and character assassination.
Textual - fake news. GROVER said to be more convincing that humans. it warps social communications and feeds into the algorithms
To tackle it is the same as disinformation
1- transparency
2- show its fake
3- accountability - does this compensate the victim?
how to tackle disinformation
1- transparency - publicise algorithms. ISSUE - limited value to average user
2 - create intelligibility so users can see it is fake - freedom of speech
3 - accountability - accountable platforms- does this really compensate for the harm.
LEGISLATIVE
- making it illegal will just mean there is no regulatory aspects. concerns or deep fakes especially
1- US has no laws regulating algorithms
2- EU are introducing new legislation (France and manipulation of info law- has limited impact though)
increase awareness
what is the US and EU law on allowing copyright (specifically TDM)
US - no law on ‘scraping’ copyright. instead 4 factors to consider if it is fair use. EASIER TO COPYRIGHT
1- purpose of use
2- nature of copyright work
3- how much it affects the person
4- if the product is reasonably available/ affect on market
EU - COPYRIGHT in the DIGITAL SINGLE MARKET DIRECTIVE 2019 (CDSM)
1. article 3- TDM for scientific research
2- article 4- most common exeption - allows it for it if it is accessible/commercial and so long as it has not been “OPTED-OUT”
what are some issues within copyright and AI
1- TDM- “any automated analytical technique aimed at analysing text and data to generate new info”
2- scraping copyright
3-
what is the OPT OUT approach and should it be allowed
-OPENAI allows those to opt out of their work being used in training data
FOR - protects creators rights and ensures a fair balance. protects creators work.
AGAINST - creators have to include individuals copy of each image they don’t want to be submitted (could be hundreds)
Recommendation - Communia state there needs to be transparency as to how their work is being used.