# data[].attributes.headline
What needs to be further developed for the sector to take the next step?

# data[].attributes.subject
What needs to be further developed for the sector to take the next step?

# data[].attributes.headline
SU/DSV - we need more time to work (i.e. money).

# data[].attributes.subject
SU/DSV - we need more time to work (i.e. money).

# data[].attributes.headline
Intersystems - Dependent of what the authorities and lawyers say. Share data is difficult and we try to support on a philantropic level - free of charge. 

# data[].attributes.subject
Intersystems - Dependent of what the authorities and lawyers say. Share data is difficult and we try to support on a philantropic level - free of charge. 

# data[].attributes.headline
Peltarion - work a little with public sector within the Research-division. 

# data[].attributes.subject
Peltarion - work a little with public sector within the Research-division. 

# data[].attributes.body
Public sector is a little more careful with AI implementation. GDPR and other concerns keep people from "daring".
GAP - Legislative Infrastructure.

# data[].attributes.headline
It takes very long time for the new legislative conditions is set so we need to proceed with existing lgislation.

# data[].attributes.subject
It takes very long time for the new legislative conditions is set so we need to proceed with existing lgislation.

# data[].attributes.headline
Research trends, university hospital, cannot do innovation due to current strains, 

# data[].attributes.subject
Research trends, university hospital, cannot do innovation due to current strains, 

# data[].attributes.body
We can setup a pilot that actually mature into full clinical application
Problem owners can actually contribute
The days are over where one company can claim to solve an entire problem

# data[].attributes.headline
Need for some legal framework that can ease/regulate data/model sharing

# data[].attributes.subject
Need for some legal framework that can ease/regulate data/model sharing

# data[].attributes.body
Synthetic data is one way to go. Federated learning is another way to go.

# data[].attributes.headline
IRI - there are very well identified and developed regulations when doing research on AI  - but the focus is on applications - which puts us in the ad hoc-corner.

# data[].attributes.subject
IRI - there are very well identified and developed regulations when doing research on AI  - but the focus is on applications - which puts us in the ad hoc-corner.

# data[].attributes.headline
Challenge - The consequences are hard to predict and map. 

# data[].attributes.subject
Challenge - The consequences are hard to predict and map. 

# data[].attributes.body
People are scared in general of when the negative consequences might appear.

# data[].attributes.headline
Region Stockholm - Research and development is not my issue but application and usage. I need to get it out to solve problems and add values in the communting mobility and health care.

# data[].attributes.subject
Region Stockholm - Research and development is not my issue but application and usage. I need to get it out to solve problems and add values in the communting mobility and health care.

# data[].attributes.body
we can do a pilot, thats easy, how do we implement in produciton environment

We have a good starting point for solving problems,

80% or problem solved , but we dont know the use case

# data[].attributes.headline
Added value of AI is "added objectivity".

# data[].attributes.subject
Added value of AI is "added objectivity".

# data[].attributes.body
Obstacle is the people in the organisations. There is sometimes a sound scepticism and sometimes and overblown scepticism (even though the risks have been treated and mitigated).

# data[].attributes.body
There is a lack of knowledge or a lagging perception regarding that people will be replaced.
First concern - GDPR
Second...
Third....
Last concern - The fear that it will replace people.

# data[].attributes.headline
Visual - project that shows how to use pictures from camera in order to increase the safety of elderly people. Angles, positions aso is very important to ensure privacy.

# data[].attributes.subject
Visual - project that shows how to use pictures from camera in order to increase the safety of elderly people. Angles, positions aso is very important to ensure privacy.

# data[].attributes.headline
Interests of all partners need to be taken into account, but there needs to be a reasonable overall goal 

# data[].attributes.subject
Interests of all partners need to be taken into account, but there needs to be a reasonable overall goal 

# data[].attributes.headline
AI Innovation of Sweden - Take the discussion and the general education-assignment.

# data[].attributes.subject
AI Innovation of Sweden - Take the discussion and the general education-assignment.

# data[].attributes.body
Regarding the fears of AI. To update the perceptions of what AI can do and will not do. To better treat the fears and the problems.

Better show how we can improve quality and reduce pressure on over-worked personnel.

The challenge is also that each area will have different consequences and risks and benefits.
The "user" needs to be involved in the process.

# data[].attributes.headline
Region Stockholm - we really need the extra resources to actually do this. AI Sweden has to help us to solve this.

# data[].attributes.subject
Region Stockholm - we really need the extra resources to actually do this. AI Sweden has to help us to solve this.

# data[].attributes.headline
Use case has no existing solutions in big tech 

# data[].attributes.subject
Use case has no existing solutions in big tech 

# data[].attributes.headline
research-side needs to have access to data

# data[].attributes.subject
research-side needs to have access to data

# data[].attributes.headline
We need AI Sweden to help us create a sandbox where we can "play" together, learn and take it further towards implementation.

# data[].attributes.subject
We need AI Sweden to help us create a sandbox where we can "play" together, learn and take it further towards implementation.

# data[].attributes.headline
AI Sweden can work as a hub inbetween the different stakeholders, the ones that has solutions and resources and the ones with needs.

# data[].attributes.subject
AI Sweden can work as a hub inbetween the different stakeholders, the ones that has solutions and resources and the ones with needs.

# data[].attributes.headline
Balance between Make things more Effective vs Innovating.

# data[].attributes.subject
Balance between Make things more Effective vs Innovating.

# data[].attributes.body
There needs to be a balance between both of these focuses.

The challenge is that users often set an "effectiveness" criteria on the AI efforts prematurely which limits the the ability for them to actually attain the innovations that they aim for.

# data[].attributes.headline
AI Sweden - It is very important to not just access the infrastructure but also financing to pay the participants to spend time there.

# data[].attributes.subject
AI Sweden - It is very important to not just access the infrastructure but also financing to pay the participants to spend time there.

# data[].attributes.headline
Support the interdisciplinary aspect with funding .. so we can look at this cases , who can directly talk to clinician tech needs to actual solutions 

# data[].attributes.subject
Support the interdisciplinary aspect with funding .. so we can look at this cases , who can directly talk to clinician tech needs to actual solutions 

# data[].attributes.headline
AI Innovation of Sweden - Matchmaker of people who have different competencies.

# data[].attributes.subject
AI Innovation of Sweden - Matchmaker of people who have different competencies.

# data[].attributes.body
Main assignment is not educating people in AI.

# data[].attributes.body
The general AI-educations that are offered on the market are very basic and don't build actual AI-capacity.
It gives a fake view of that "I know now", but you don't actually have enough competence and knowledge in order to actually implement AI.

# data[].attributes.headline
How can we change the structure of the pilot 

# data[].attributes.subject
How can we change the structure of the pilot 

# data[].attributes.headline
Identify incentives for governmental agencies beyond the official intention to make more data open.

# data[].attributes.subject
Identify incentives for governmental agencies beyond the official intention to make more data open.

# data[].attributes.headline
IRI - important to not create silo projects and make sure that the projects adds to common "higher" goals.

# data[].attributes.subject
IRI - important to not create silo projects and make sure that the projects adds to common "higher" goals.

# data[].attributes.headline
AI can do things that we have a hard time imagining.

# data[].attributes.subject
AI can do things that we have a hard time imagining.

# data[].attributes.headline
Lexplore - The most happy clients are those that have experienced a change in "their practices" or "ways of working" - cool! (counter intuitive?)

# data[].attributes.subject
Lexplore - The most happy clients are those that have experienced a change in "their practices" or "ways of working" - cool! (counter intuitive?)

# data[].attributes.headline
you are solving the siloed use case and hospital unit is already using it, 

# data[].attributes.subject
you are solving the siloed use case and hospital unit is already using it, 

# data[].attributes.body
for example,becaue of siloes, we cannot add new datasets that is adjacent

# data[].attributes.headline
SU DSV - Very difficult when different lawyers at different public organizations do completely different evaluations and say what is and isn't ok to do with data.

# data[].attributes.subject
SU DSV - Very difficult when different lawyers at different public organizations do completely different evaluations and say what is and isn't ok to do with data.

# data[].attributes.headline
Need of experience from the data owner side

# data[].attributes.subject
Need of experience from the data owner side

# data[].attributes.headline
AI can challenge the way that we work and that is easier to do for those organisations that are already doing alright.

# data[].attributes.subject
AI can challenge the way that we work and that is easier to do for those organisations that are already doing alright.

# data[].attributes.body
But the organisations that have the largest need are sometimes the ones that are worst equipped to actually make the change that is needed. (reinforcing dynamics and increases gaps between orgs)
A big problem.

# data[].attributes.headline
IRI - it is important to define a general way that we all can lean on and use instead of creating silos.

# data[].attributes.subject
IRI - it is important to define a general way that we all can lean on and use instead of creating silos.

# data[].attributes.body
judicial aspects, need to speak the same language as clinicians.. Need sense making. They are used to test RCT

# data[].attributes.headline
There are misperceptions regarding how "automatic" AI work can be - often Human-AI interaction.

# data[].attributes.subject
There are misperceptions regarding how "automatic" AI work can be - often Human-AI interaction.

# data[].attributes.headline
Changing the way we work is a big challenge which is where we get the large blockage.

# data[].attributes.subject
Changing the way we work is a big challenge which is where we get the large blockage.

# data[].attributes.body
This also makes it hard to sell this to the actual clients.
The change will hurt, how do you sell this?

# data[].attributes.headline
IRI - the different conclutions are made because they have different experiences, backgrounds and educations. Then you do different considerations when the regulatory and legislative situation is so unclear and we don't have a common platform and interpretation i.e. prejudikat.

# data[].attributes.subject
IRI - the different conclutions are made because they have different experiences, backgrounds and educations. Then you do different considerations when the regulatory and legislative situation is so unclear and we don't have a common platform and interpretation i.e. prejudikat.

# data[].attributes.headline
Willingness from healthcare to accept this new tech 

# data[].attributes.subject
Willingness from healthcare to accept this new tech 

# data[].attributes.body
In london for example, mayor gives money to support hospital , silos much worse
There is already co operation in Sweden, for example oncology and pathology

# data[].attributes.headline
Oftentimes the change can be rather small and the implementation can be done in a step-wise process.

# data[].attributes.subject
Oftentimes the change can be rather small and the implementation can be done in a step-wise process.

# data[].attributes.headline
Lexplore doesn't talk "AI" in their client meetings, it is the wrong framing for their client discussions (even if that is the largest value-adding activity )

# data[].attributes.subject
Lexplore doesn't talk "AI" in their client meetings, it is the wrong framing for their client discussions (even if that is the largest value-adding activity )

# data[].attributes.headline
IRI - If AI is for real and can change its behaviour it has to be regulated by AI since everything goes so fast. How can we detect change before it has happened. What is acceptable and when is what ok to do?

# data[].attributes.subject
IRI - If AI is for real and can change its behaviour it has to be regulated by AI since everything goes so fast. How can we detect change before it has happened. What is acceptable and when is what ok to do?

# data[].attributes.headline
we need to change and look more for opportunities than problems 

# data[].attributes.subject
we need to change and look more for opportunities than problems 

# data[].attributes.headline
Studies regarding the effectiveness of AI implementation is what is necessary so that we can PROVE IT on a larger scale. IT TAKES TIME and MIGHT REQUIRE MORE PEOPLE

# data[].attributes.subject
Studies regarding the effectiveness of AI implementation is what is necessary so that we can PROVE IT on a larger scale. IT TAKES TIME and MIGHT REQUIRE MORE PEOPLE

# data[].attributes.headline
What are the concepts we are trying to prove upstream from pre-clinical trials 

# data[].attributes.subject
What are the concepts we are trying to prove upstream from pre-clinical trials 

# data[].attributes.body
Not knowing which problems can match the awesome tech to

Picking problem  to show off tech rather than picking the right relevant problems

Need orchestration betwene initiatives

Cross pollination across industry

Not so HAIRY projects also have problems getting into production

# data[].attributes.headline
complicated to work with large companies/organizations although they have some innovative groups - how to identify them?

# data[].attributes.subject
complicated to work with large companies/organizations although they have some innovative groups - how to identify them?

# data[].attributes.headline
Implementation approach - Look at the problem and their need, and don't mention AI (it is not interesting for the client)

# data[].attributes.subject
Implementation approach - Look at the problem and their need, and don't mention AI (it is not interesting for the client)

# data[].attributes.headline
A regulatory consequense AI can support us when developing AI solutions.  

# data[].attributes.subject
A regulatory consequense AI can support us when developing AI solutions.  

# data[].attributes.body
Particularly difficult in Human-run processes. Due to the need to bring people and their behaviours online.

It might be easier in more technical/automatic processes - logistics for example.

# data[].attributes.headline
organizations need to build up some core competence to be a partner/buyer for the service

# data[].attributes.subject
organizations need to build up some core competence to be a partner/buyer for the service

# data[].attributes.headline
KB doesn't allow anyone to take data out of the library (data base).

# data[].attributes.subject
KB doesn't allow anyone to take data out of the library (data base).

# data[].attributes.headline
Region Stockholm - the same thing is talked about here in Region Stockholm and the data we have.

# data[].attributes.subject
Region Stockholm - the same thing is talked about here in Region Stockholm and the data we have.

# data[].attributes.headline
IRI - in an emergency situation the rules and regulations can be overrided at the cost of integrity.

# data[].attributes.subject
IRI - in an emergency situation the rules and regulations can be overrided at the cost of integrity.

# data[].attributes.headline
SU DSV - We get requests of accessing large amounts of data just to see what they generate when training on them. Here AI Sweden can help out and arrange hackathons if a data set owner would like to see what is possible.

# data[].attributes.subject
SU DSV - We get requests of accessing large amounts of data just to see what they generate when training on them. Here AI Sweden can help out and arrange hackathons if a data set owner would like to see what is possible.

# data[].attributes.body
Investor is playing

# data[].attributes.headline
What does AI Innovation of Sweden add further beyond the already existing bilateral agreements and collaborations.

# data[].attributes.subject
What does AI Innovation of Sweden add further beyond the already existing bilateral agreements and collaborations.

# data[].attributes.body
Past the Original matchmaking.

# data[].attributes.headline
Health research is validated through randomized trials

# data[].attributes.subject
Health research is validated through randomized trials

# data[].attributes.body
Here is a long-term learning project at Karolinska (funded by VR and EP-Stiftelsen) which is now in RCT phase, which can happen in Sweden and not in so many other countries IMO:
https://link.springer.com/article/10.1007/s13748-019-00192-0