iv) Perform an analysis of the relevance and added value of the working areas that  are listed in the theme paper as well as those additional ones that have been  identified (see objective 3i, above) to  achieve EFSA’s vision as defined in the  theme paper (Annex 4);  v) Explore opportunities for the use of artificial intelligence (AI) 13  approaches in  the area of NAMs including data extraction and integration of information from  different sources. The tenderer needs to be available to be interviewed by a  contractor (still to be identified through a separate call for tenders) preparing  the roadmap for action on artificial intelligence in evidence management in the  risk assessment.  i) Identify potential challenges and blockers focusing on critical elements for the  consideration as “valid methods” and the  integrating non-standardised NAM- based studies in the regulatory context to perform improved risk assessments  based on mechanistic understanding; ii) Assess the impact of challenges and blockers (see objective 4.i, above) for  EFSA’s  vision as defined in the theme paper (Annex 4);  iii) Explore feasible alternatives to overcome challenges and blockers (see  objective 4.i, above).  i) Identify opportunities and potential partners and evaluate means/tools  (workshops,  conferences,  sharing  databases  etc)  for  pertinent  cooperation/collaboration with potential partners outlined in the theme paper  and any additional potential partner identified;  ii) Perform an analysis of the added value and benefits of pertinent  cooperation/collaboration opportunities (see objective 5.i, above), as well as  possible challenges of the identified potential partnerships, and including any  prioritisation considerations. Conduct a specific assessment of the OECD and  ECVAM workplans for the next years and identify in those workplans the  elements related to NAMs with specific interest for implementing  EFSA’s  vision  (as outlined in the theme paper, Annex 4). Present a SWOT or equivalent  analysis  for  supporting  the  prioritisation  of  cooperation/collaboration  opportunities by EFSA.  Objective 4: Identifying challenges and blockers  Objective 5: Assessing cooperation/collaboration opportunities 12  $^{13}$  Artificial Intelligence has been defined by the European Commission as “Artificial Intelligence refers to systems  that display intelligent behaviour by analysing their environment and taking action  —  with some degree of  autonomy  —  to achieve specific goals. We are using AI on a daily basis, for example to block email spam or  speak with digital assistants. Growth in computing power, availability of data and progress in algorithms have  turned AI into one of the most important technologies of the 21st century .” Refer to https://ec.europa.eu/knowledge4policy/publication/coordinated-plan-artificial-intelligence-com2018- 795-final_en#:~:text=Delivering%20on%20its%20strategy%20on,use%20of%20AI%20in%20Europe 