The End Of Knowledge - Vault 4/28 - AI For Good - 2019 - Foundation for Responsible Robotics

graph LR classDef foundation fill:#d4f9d4, font-weight:bold, font-size:14px classDef cycle fill:#f9d4d4, font-weight:bold, font-size:14px classDef badAI fill:#d4d4f9, font-weight:bold, font-size:14px classDef label fill:#f9f9d4, font-weight:bold, font-size:14px classDef support fill:#f9d4f9, font-weight:bold, font-size:14px A[Foundation for Responsible
Robotics] --> B[Foundation unites academia,
industry, policy. 1] A --> C[Vicious AI/robotics
production cycle exists. 2] C --> D[Cycle: unaccountable companies,
no improvement incentives. 3] C --> E[Bad AI products
erode societal values. 4] A --> F[Foundation aims to create
virtuous cycle. 5] F --> G[Proposes quality mark
for robotics products. 6] G --> H[Strict accreditation evaluates
key factors. 7] G --> I[Label empowers consumers,
holds companies accountable. 8] A --> J[Establishing label
is long, tough process. 9] J --> K[Assessment framework created,
companies interested. 10] J --> L[Goal: inspire policies,
not mandatory regulation. 11] A --> M[AI for Good Summit:
ideal discussion venue. 12] A --> N[Multi-pronged approach needed
to solve problem. 13] A --> O[Support needed from
all stakeholders. 14] A --> P[Previous focus: using ethics
to guide AI. 15] P --> Q[Current focus: solving issues
via labeling. 16] A --> R[Optimistic about AIs
societal benefits. 17] class A,N,O,R support class B foundation class C,D,E cycle class F,G,H,I,J,K,L label class M,P,Q summit

Resume:

1.- The Foundation for Responsible Robotics brings together academia, industry, and policy makers to work towards a vision of responsible robotics.

2.- There currently exists a "vicious cycle" in the production, development and use of AI and robotics products.

3.- This cycle involves a lack of accountability from companies, lack of incentives to do better, and the creation of "bad products."

4.- Bad AI/robotics products contribute to eroding societal values like privacy and transparency. This disempowers consumers while companies retain the power.

5.- The Foundation aims to turn this vicious cycle into a "virtuous cycle" by creating incentives for companies to do better.

6.- They propose creating a quality mark or label for robotics products, similar to fair trade or rainforest protection labels.

7.- To earn the label, companies must go through a strict accreditation process evaluating factors like transparency, privacy, sustainability and fairness.

8.- This "opens up the black box", empowers consumers to make informed choices, and places accountability on companies to do better.

9.- Getting this established is a long and difficult process with many obstacles. The Foundation is making progress with Deloitte's support.

10.- They have created the assessment framework and have interest from robotics companies to participate in pilot programs for the label.

11.- The goal is to inspire new policies and regulations, not necessarily to make the label a regulatory requirement itself.

12.- This venue (the AI for Good Global Summit) is the perfect place to have this conversation as AI is advancing rapidly.

13.- Addressing this huge, fast-moving problem requires a multi-pronged approach including the label program, communication, branding and consumer awareness.

14.- Turning the tide requires support from companies, policy makers, customers, academics and everyone. The label is a starting point.

15.- Last year the interviewee spoke more generally about using ethics as a resource to steer AI development in a good direction.

16.- This year she is focused on transitioning from identifying issues to hardcore problem solving mode with the labeling initiative.

17.- She is becoming increasingly optimistic that AI/robotics can provide incredible societal benefits if developed in the right way.

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