WS 8: Artificial intelligence, ethics and the future of work
Su Sonia Herring
- Artificial intelligence (AI) must be accountable, transparent, modifiable – privacy, and determinability by design is a must.
- Unintended and unexpected consequences in the development of AI and robotics are unavoidable.
- There must be an ethical code for algorithm developers.
- The education system needs to be revamped to prepare future workers with the necessary skills to deal with the new forms of jobs that AI will bring.
- Interdisciplinary teams are needed to relieve the burden of engineers and they need to be educated about ethics.
- AI technology needs a common, international framework; ethical clearance is not sufficient.
- ‘I’m just an engineer’ is not an excuse when developing AI.
- AI is or will become a race, expecting adherence to ethical code by developers is not realistic.
- We need a kill switch for automated systems.
- AI can be part of the solution to the problem of future of work.
Recent Comments on this Site
27th February 2023 at 4:40 am
room for statistical innovation with quantum, robots and mind reading applications now in development.
See in context
27th February 2023 at 4:39 am
Green ehealth aps
See in context
27th February 2023 at 4:38 am
New theme of Digital Health is required
See in context
27th February 2023 at 4:37 am
collaboration of techiques / know-how, can enhance medical aps
See in context
27th February 2023 at 4:36 am
very important. brainwave techs, Quantum, VR, how algorithms work for a health ap etc. Naive users must not be made use of. Consent is key, What is a reasonable person ?
See in context
27th February 2023 at 4:34 am
Medical aps and ethics. Ethics for brain wave ehealth applications operation. VR ethics.
See in context
27th February 2023 at 4:33 am
New era of brain waves for manipulating the applications such as robots or VR. Ethics is important.
See in context
27th February 2023 at 4:32 am
Important for medical internet of things and ehealth for SDG 3
See in context
27th February 2023 at 4:31 am
Transparency of data sources and algorithms. Building of trust and human oversight. Zero failures for healthcare. Due diligence and audits that are timely. Getting rid of errors and old non relevant data.
See in context
27th February 2023 at 4:29 am
critical for medical information
See in context